Information

GPU Accelerated applications and computing has revolutionized a broad range of industries, with over five hundred applications optimized for NVIDIA Graphics Processing Units to help you accelerate your work.

COMPUTATIONAL FINANCE

Application name
Company
Product Description
Supported Features
GPU scaling
Accelerated Computing Engine
Elsen
Secure, accessible, and accelerated backtesting, scenario analysis, risk analytics and real-time trading designed for easy integration and rapid development.
  • Web-like API with Native bindings for Python, R, Scala, C
  • Custom models and data streams are easy to add
Multi-GPU Single NodeMulti-GPU Multi-Node
Adaptiv Analytics
SunGard
A flexible and extensible engine for fast calculations of a wide variety of pricing and risk measures on a broad range of asset classes and derivatives.
  • ​​​​​​​Existing models code in C# supported transparently, with minimal code changes
  • Supports multiple backends including CUDA and OpenCL
  • Switches transparently between multiple GPUs and CPUS depending on the deal support and load factors
Multi-GPU Single Node
Alea.cuBase F#
QuantAlea’s
F# package enabling a growing set of F# capability to run on a GPU
  • F# for GPU accelerators
Multi-GPU Single Node
Esther
Global Valuation
In-memory risk analytics system for OTC portfolios with a particular focus on XVA metrics and balance sheet simulations.
  • High quality models not admitting closed form solutions
  • Efficient solvers based on full matrix linear algebra powered by GPUs and Monte Carlo algorithms
Multi-GPU Single Node
Global Risk
MISYS
Regulatory compliance and enterprise wide risk transparency package
  • Risk analytics
Multi-GPU Single Node
Hybridizer C#
Altimesh
Multi-target C# framework for data parallel computing.
  • C# with translation to GPU or MultiCore Xeon
Multi-GPU Single Node
MACS Analytics Library
Murex
Analytics library for modeling valuation and risk for derivatives across multiple asset classes
  • Market standard models for all asset classes paired with the most efficient resolution methods (Monte Carlo simulations and Partial Differential Equations)
Multi-GPU Single Node
MiAccLib 2.0.1
Hanweck Associates
Accelerated libraries which encompasses high speed multi-algorithm search engines, data security engine and also video analytics engines for text processing, encryption/decryption and video surveillance respectively
  • Text Processing: Exact Match, Approximate\Similarity Text, Wild Card, MultiKeyword and MultiColumnMultiKeyword, etc
  • Data Security: Accelerated Encryption/Description for AES-128
  • Video Analytics: Accelerated Intrusion Detection Algorithm
N/A
NAG
Numerical Algorithms Group
Random number generators, Brownian bridges, and PDE solvers
  • Monte Carlo and PDE solvers
Single GPU Single Node
O-Quant options pricing
O-Quant
Offering for risk management and complex options / derivatives pricing using GPU
  • Cloud-based interface to price complex derivatives representing large baskets of equities
Multi-GPU Multi-Node
Oneview
Numerix
Numerix introduced GPU support for Forward Monte Carlo simulation for Capital Markets and Insurance
  • Equity/FX basket models with BlackScholes/Local Vol models for individual equities and FX
  • Algorithms: AAD (Automatic Algebraic Differential)
  • New approaches to AAD to reduce time to market for fast Price Greeks and XVA Greeks
Multi-GPU Multi-Node
Pathwise
Aon Benfield
Specialized platform for real-time hedging, valuation, pricing and risk management
  • Spreadsheet-like modeling interfaces, Python-based scripting environment, and Grid middleware
Multi-GPU Single Node
SciFinance
SciComp, Inc
Derivative pricing (SciFinance)
  • Monte Carlo and PDE pricing models
Single GPU Single Node
Synerscope Data Visualization
Synerscope
Visual big data exploration and insight tools
  • Graphical exploration of large network datasets including geo-spatial and temporal components
Single GPU Single Node
Volera
Hanweck Associates
Real-time options analytical engine (Volera)
  • Real-time options analytics engine
Multi-GPU Single Node
Xcelerit SDK
Xcelerit
Software Development Kit (SDK) to boost the performance of Financial applications (e.g. Monte-Carlo, Finite-difference) with minimum changes to existing code.
  • C++ programming language, crossplatform (back-end generates CUDA and optimized CPU code), supports Windows and Linux operating systems
Multi-GPU Single Node

CLIMATE, WEATHER AND OCEAN MODELING

Application name
Company
Product Description
Supported Features
GPU scaling
ACME-Atm
US DOE
Global atmospheric model used as component to ACME global coupled climate model
  • Dynamics only
Multi-GPU Multi-Node
COSMO
COSMO Consortium
Regional numerical weather prediction and climate research model
  • Radiation only in the trunk release, all features in the MCH branch used for operational weather forecasting
Multi-GPU Multi-Node
Gales
KNMI, TU Delft
Regional numerical weather prediction model
  • Full Model
Multi-GPU Multi-Node
WRF AceCAST-WRF
Tempo-Quest Inc
WRF model from NCAR, but now commercialized by TQI. Used for numerical weather prediction and regional climate studies. All popular aspects of WRF model are GPU developed.
  • All popular aspects of WRF model are GPU developed: - ARW dynamics - 19 physics options including enough to run the full WRF model on GPUs
Multi-GPU Multi-Node

DATA SCIENCE AND ANALYTICS

Application name
Company
Product Description
Supported Features
GPU scaling
ANACONDA
Anaconda
Anaconda is the leading python package
  • Includes Bindings to CUDA libraries: cuBLAS, cuFFT, cuSPARSE, cuRAND, and sorting algorithms from the CUB and Modern GPU libraries Includes Numba (JIT python compiler) and Dask (python scheduler) Includes single-line install of numerous DL frameworks such as pytorch
Multi-GPU Single Node
ArgusSearch
Planet AI
Deep Learning driven document search
  • fast full text search engine: searches hand-written and text documents, including PDF
allows almost any arbitrary requests (Regular Expressions are supported)
Automatic Speech Recognition
Capio
In-house and Cloud-based speech recognition technologies
  • Real-time and offline (batch) speech recognition
  • Exceptional accuracy for transcription of conversational speech
  • Continuous Learning (System becomes more accurate as more data is pushed to the platform
Multi-GPU Single Node
Blazegraph GPU
Blazegraph
First and fastest GPU accelerated platform for graph query. It provides drop-in acceleration for existing RDF/ Sparql and Tinkerpop/ Blueprints graph applications. It provides high-level graph database APIs with transparent GPU acceleration for graph query.
  • GPU-accelerated SPARQL graph query
  • Data Management using the RDF interchange model
  • Tinkerpop/Blueprints Graph Support
  • Billions of edges on a single multi-GPU node
  • SaaS and Appliance models available.

Multi-GPU Single Node
BlazingDB
BlazingDB
GPU-accelerated relational database for data warehousing scenarios available for AWS and on-premise deployment.
  • Modern data warehousing application supporting petabyte scale applications
Multi-GPU Single Node
BrytlytDB
Brytlyt
In-GPU-memory database built on top of PostgreSQL
  • GPU-Accelerated joins, aggregations, scans, etc. on PostgreSQL. Visualization platform bundled with database is called SpotLyt.
Multi-GPU Multi-Node
CuPy
Preferred Networks
CuPy (https://github.com/cupy/cupy) is a GPU-accelerated scientific computing library for Python with a NumPy compatible interface
  • CUDA
  • Multi GPU support
Multi-GPU Single Node
Datalogue
Datalogue
AI powered pipelines that automatically prepare any data from any source for immediate & compliant use
  • Data transformation
  • Ontology mapping
  • Data standardization
  • Data augmentation

Multi-GPU Single Node
DeepGram
DeepGram
Voice processing solution for call centers, financials and other scenarios
  • Speech to text and phonetic search using GPU deep learning
Multi-GPU Single Node
Driverless AI
H2O.ai
Automated Machine Learning with Feature Extraction. Essentially BI for Machine Learning and AI, with accuracy very similar to Kaggle Experts.
  • Automated machine learning and feature extraction
  • Automated statistical visualization
  • Interpretability toolkit for machine learning models
Multi-GPU Single Node
GPUdb
Kinetica
Multi-GPU, Multi-Machine distributed object store providing SQL style query capability, advanced geospatial query capability,heatmap generation, and distributed rasterization services.
  • Query against big data in real time
  • No pre-indexing allows for complex, adhoc query chains.
  • Interactively explore large, streaming data sets.
Multi-GPU Single Node
Gunrock
UC Davis
Gunrock is a library for graph processing on the GPU. Gunrock achieves a balance between performance and expressiveness by coupling high performance GPU implementations with a high-level programming model, that requires minimal GPU programming knowledge.
  • Direction-optimizing BFS, SSSP, PageRank, Connected Components, Betweenness-centrality, triangle counting
  • Multi-GPU support for frontier-based methods
Multi-GPU Single Node
H2O4GPU
H2O.ai
H2O is a popular machine learning platform which offers GPU-accelerated machine learning. In addition, they offer deep learning by integrating popular deep learning frameworks.
  • Currently supporting tree based methods (GBM & Random Forest), GLM, Kmeans and are working on a bunch of other algorithms that are coming soon
  • Supports TensorFlow, Caffe and MXNet
Multi-GPU Single Node
IntelligentVoice
Intelligent-Voice
Far more than a transcription tool, this speech recognition software learns what is important in a telephone call, extracts information and stores a visual representation of phone calls to be combined with text/instant messaging and E-mail. Intelligent Voice’s search and alert makes it possible to tackle issues before they arise, address data security concerns and monitor physical access to data.
  • Advanced Speech Recognition across large data sets, JumpTo Technology, for data visualisation, E-Discovery, extraction from phone calls, IM & Email defining key phrases and emotional analysis
  • Compliance, defining key conversations and interactions
Multi-GPU Single Node
Jedox
Jedox
Helps with portfolio analysis, management consolidation, liquidity controlling, cash flow statements, profit center accounting, treasury management, customer value analysis and many more applications, all accessible in a powerful web and mobile application or Excel environment.
  • This database holds all relevant data in GPU memory and is thus an ideal application to utilize the Tesla K40 &12 GB on-board RAM
  • Scale that up with multiple GPUs and keep close to 100 GB of compressed data in GPU memory on a single server system for fast analysis, reporting, and planning.
Multi-GPU Single Node
Labellio
KYOCERA Commu-nication Systems Co
The world’s easiest deep learning web service for computer vision, which allows everyone to build own image classifier with only web browser.
  • Neural net fine-tuning for image data, data crawling, data browsing as well as drag-and-drop style data cleansing backed by AI support
Multi-GPU Single Node
Numba
Anaconda
JIT compilation of Python functions for execution on various targets (including CUDA)
  • JIT compilation of Python functions for execution on various targets (including CUDA)
Multi-GPU Single Node
OmniSci
OmniSci
OmniSci is GPU-powered big data analytics and visualization platform that is hundreds of times faster than CPU in-memory systems. OmniSci uses GPUs to execute SQL queries on multi-billion row datasets and optionally render the results, all in milliseconds.
  • Uses LLVM’s nvptx backend to generate CUDA kernels. OpenGL- (EGL) based rendering is not open source.
  • Can run in a docker container using NVIDIA-docker.
Multi-GPU Single Node
Polymatica
Polymatica
Analytical OLAP and Data Mining Platform
  • Visualization, Reporting, OLAP inmemory with GPU acceleration, Data Mining, Machine Learning, Predictive Analytics
Multi-GPU Multi-Node
Sqream DB
Sqream
GPU accelerated SQL database engine for big data analytics. Sqream speeds SQL analytics by 100X by translating SQL queries into highly parallel algorithms run on the GPU.
  • Up to 100TB of raw data can be stored and queried in a standard 2U server
  • Inserts and analyzes hundreds of billions of records in seconds
  • No indexes required
  • No changes to SQL code or data science paradigms required
Multi-GPU Single Node
SynerScope
SynerScope
Big data visualization and data discovery, for combining Analytics on Analytics with IoT compute-at-the-edge smart sensors.
  • Real-time Interaction with data
Single GPU Single Node
ZX Lib (Fuzzy Logic)
Tanay
Financial analytics and data mining library
  • Monte Carlo simulations, pricing of vanilla and exotic options, fixed income analytics, data mining
Multi-GPU Single Node

tools and management

Application name
Company
Product Description
Supported Features
GPU scaling
Allinea Forge
Allinea now owned by ARM Ltd
Allinea Forge Professional provides all you will need to debug, profile and optimize for high performance - from single threads through to complex parallel HPC and scientific codes with MPI, OpenACC, OpenMP, threads or NVIDIA CUDA
  • CUPTI, cudagdb
Multi-GPU Multi-Node
Altair PBS Professional
Altair
Fast, powerful workload manager designed to improve productivity, optimize utilization & efficiency, and simplify administration for HPC clusters, clouds and supercomputers. PBS Professional automates job scheduling, management, monitoring and reporting.
  • Commonly requested capabilities that are supported: - GPU auto discovery - Specify GPU count per CPU - Specify GPU type - GPU/CPU affinity - GPU awareness and equality in accounting, quotas, and fair share - GPU/CPU syntax/scheduling equivalence - Specify memory use per GPU - Add-on/ integration project with NVIDIA’s Data Center GPU Management (DCGM); GPU health checks & detailed accounting
Multi-GPU Multi-Node
Bright Cluster Manager
Bright Computing
Bright Cluster Manager lets you administer clusters as a single entity, provisioning the servers, GPUs, operating system, and workload manager from a unified interface. We make it easy to build an NVIDIA GPU cluster by packaging all the relevant software including CUDA, NVIDIA driver, DCGM, NCCL, and a full deep learning stack. With Bright, you can configure GPUs individually or in groups, which is a real time saver for those with a large cluster. You can even set properties on your NVIDIA GPUs using BrightView. Once up and running, we monitor GPU metrics and run GPU health checks to make sure everything is working as it should. Bright makes managing GPU clusters easy
  • Intuitive web app provides comprehensive view of GPU and cluster metrics
  • Powerful Cluster Management Shell as alternative user interface
  • Fully Support for NVIDIA libraries, CUDA, OpenCL, OpenACC, CUDA-aware libraries, NCCL, and CUB
  • Comprehensive monitoring of GPU
  • Brings in GPU resources from public (AWS, Azure) and private (OpenStack) clouds within minutes
  • Automated scaling of the cluster based on pre-defined policies
  • Supports several popular Linux distributions: RHEL and derivatives, SUSE SLES and Ubuntu LTS
  • GPU-enabled Docker containers
  • Offers a complete deep learning stack
  • Deployment for popular HPC filesystems and management of fast interconnects
Multi-GPU Multi-Node
cmake
Kitware
CMake is an open-source, cross-platform family of tools designed to build, test and package software. CMake is used to control the software compilation process using simple platform and compiler independent configuration files, and generate native makefiles and workspaces that can be used in the compiler environment of your choice. The suite of CMake tools were created by Kitware in response to the need for a powerful, cross-platform build environment for open-source projects.
​​​​​​​
N/A
ELPA
Max Planck Institute
The publicly available ELPA library provides highly efficient and highly scalable direct eigensolvers for symmetric matrices. Though especially designed for use for PetaFlop/s applications solving large problem sizes on massively parallel supercomputers, ELPA eigensolvers have proven to be also very efficient for smaller matrices.
  • improved one-step ScaLAPACK-type solver ELPA1 and novel two-step solver ELPA2
Multi-GPU Multi-Node
HPCtoolkit
Rice University
HPCToolkit is an integrated suite of tools for measurement and analysis of program performance on computers ranging from multicore desktop systems to the nation’s largest supercomputers.
  • CUPTI
Multi-GPU Multi-Node
IBM
​​​​​​​Spectrum
​​​​​​​ LSF
IBM Corpo-ration
IBM Spectrum LSF is a complete workload management solution for demanding HPC environments. Featuring intelligent, policydriven scheduling, it helps organizations to improve competitiveness by accelerating research and design while controlling costs through superior resource utilization and ease of use. Building on over 20 years of experience, IBM Spectrum LSF features a highly scalable and available architecture designed to address the challenge of aligning compute resources with business priorities. With the ability to detect, monitor and schedule GPU enabled workloads to the appropriate resources, IBM Spectrum LSF enables users to easily take advantage of the benefits provided by GPUs
  • Enforcement of GPU allocations via cgroups
  • Exclusive allocation and round robin shared mode allocation
  • CPU-GPU affinity
  • Boost control
  • Power management
  • Multi-Process Server (MPS) support
  • NVIDIA Volta and DCGM support
Multi-GPU Multi-Node
Magma
ICL - University of Tennessee Knoxville
The MAGMA project aims to develop a dense linear algebra library similar to LAPACK but for heterogeneous/hybrid architectures, starting with current “Multicore+GPU” systems. The MAGMA research is based on the idea that, to address the complex challenges of the emerging hybrid environments, optimal software solutions will themselves have to hybridize, combining the strengths of different algorithms within a single framework. Building on this idea, we aim to design linear algebra algorithms and frameworks for hybrid manycore and GPU systems that can enable applications to fully exploit the power that each of the hybrid components offers.
Multi-GPU Multi-Node
open
​​​​​​​|SpeedShop
Krell Institute
Open|SpeedShop (O|SS) is an open source multi-platform performance tool enabling performance analysis of HPC applications running on both single node and large scale platforms. O|SS gathers and displays several types of information to aid in solving performance problems, including: program counter sampling for a quick overview of the applications performance, call path profiling to add caller/callee context and locate critical time consuming paths, access to the machine hardware counter information, input/output tracing for finding I/O performance problems, MPI function call tracing for MPI load imbalance detection, memory analysis, POSIX thread tracing, NVIDIA CUDA analysis, and OpenMP analysis. O|SS offers a command-line interface (CLI), a graphical user interface (GUI) and a python scripting API user interface.
  • CUPTI
Multi-GPU Multi-Node
PAPI
ICL - University of Tennessee Knoxville
PAPI provides the tool designer and application engineer with a consistent interface and methodology for use of the performance counter hardware found in most major microprocessors. PAPI enables software engineers to see, in near real time, the relation between software performance and processor events. In addition, PAPI provides access to a collection of components that expose performance measurement opportunites across the hardware and software stack.
  • CUPTI
Multi-GPU Multi-Node
Parallware Trainer
Appentra Solutions
Parallware Trainer is the new interactive, real-time editor with GUI features to facilitate the learning, usage, and implementation of parallel programming. Users are actively involved in learning parallel programming through observation, comparison, and hands-on experimentation. Parallware Trainer provides support for widely used parallel programming strategies using OpenACC and OpenMP with execution on multicore processors and GPUs.
​​​​​​​
N/A
SLURM
SchedMD
SLURM is a highly configurable open source workload and resource manager. In its simplest configuration, Slurm can be installed and configured in a few minutes. Use of optional plugins provides the functionality needed to satisfy the needs of demanding HPC centers with diverse job types, policies and work flows. Advanced configurations use plug-ins to provide features like accounting, resource limit management, by user or bank account, and support for sophisticated scheduling algorithms.
  • Scales to millions of cores and tens of thousands of GPGPUs
  • Military grade security
  • Heterogenous platform support allowing users to take advantage of GPGPUs.
  • Flexible plugin framework enables Slurm to meet complex customization requirements
  • Topology aware job scheduling for maximum system utilization
  • Extensive scheduling options including advanced reservations, suspend/resume, backfill, fair-share and preemptive scheduling for critical jobs
  • No single point of failure
Multi-GPU Multi-Node
Taranis
Taranis
Our deep learning engine use bleeding edge math models and hardware platforms on the cloud and has been trained by over 60 expert agronomists providing more than 1,000,000 examples of crop health issues
  • report plant population to farmers, regardless of growth stage of the crop detect when a weed emerges in the field and constitutes a potential threat to the yield and then classifies it calculate the amounts of nutrients in vegetation, the water content in the soil, plant temperature identify and categorize the top relevant diseases for prevalent crops
Multi-GPU Multi-Node
TAU - Tuning and Analysis Utilities
University of Oregon
TAU is a program and performance analysis tool framework. TAU provides a suite of static and dynamic tools to form an integrated analysis environment for parallel Fortran, C++, C, Java, and Python applications. Also, recent advancements in TAU’s code analysis capabilities have allowed new static tools to be developed, such as an automatic instrumentation tool
  • CUPTI
Multi-GPU Multi-Node
Torque MoabTorque Moab
Adaptive Computing
Moab HPC Suite is a workload and resource orchestration platform that automates the scheduling, managing, monitoring, and reporting of HPC workloads on massive scale. TORQUE provides control over batch jobs and distributed computing resources. It is an advanced open-source product based on the original PBS project* and incorporates the best of both community and professional development.
  • Request/schedule gpus based on gpu location in NUMA systems
  • Collect and report metrics and status information
  • Set gpu mode at job run time
Multi-GPU Multi-Node
Totalview for HPC
Rogue Wave Software
TotalView for HPC allows simultaneous debug many processes and threads in a single window. Work backwards from failure through reverse debugging, isolating the root cause faster by eliminating repeated restarts of the application. Reproduce difficult problems that occur in concurrent programs that use threads, OpenACC, OpenMP, MPI and CUDA
  • CUDA debug API
Multi-GPU Multi-Node
Univa Grid Engine
Univa
The Univa Grid Engine suite is a leading workload management system. The solution maximizes the use of shared resources in a data center and applies advanced management policy enforcement to deliver results faster, more efficiently, and with lower overall costs. The product suite can be deployed in any technology environment, including containers: onpremise, hybrid or in the cloud.
  • Manage NVIDIA CUDA, OpenACC, OpenCL plus MPI hybrid apps
  • Optimize scheduling with resourcemapped GPUs
  • Manage GPU apps within or without Docker containers
  • Obtain visibility with CUDA-specific metrics for GPU monitors and reports
  • Extend on-premise deployments to incorporate cloud-based GPU instances
Multi-GPU Multi-Node
Vampir
TU Dresden
Vampir provides an easy-to-use framework that enables developers to quickly display and analyze arbitrary program behavior at any level of detail. The tool suite implements optimized event analysis algorithms and customizable displays that enable fast and interactive rendering of very complex performance monitoring data.
  • CUPTI
Multi-GPU Multi-Node

SAFETY AND SECURITY

Application name
Company
Product Description
Supported Features
GPU scaling
AI-NVR
IronYun
Search in Video​​​​​​​
  • Search in Video
N/A
Alert
Irvine Sensors
Alert provides people counting and intrusion detection
  • People counting, Intrusion detection
N/A
Arvas
VI Dimensions
​​​​​​​​​​​​​​
​​​​​​​
N/A
Better Tomorrow
Anyvision
Face recognition for multiple industries
  • Face recognition
Multi-GPU Single Node
BioSurveillance NEXT, BioFinder
Herta Security
Real time facial recognition and forensic alerts against multiple watchlists.
  • Supports crowded scenes, difficult lighting, faster than real-time analysis, partial face concealment
Multi-GPU Single Node
Cezurity EVO
Cezurity
Event Observer (EvO): engine for detecting malicious activity on user computers. Centralized detection engine; Event chains; Context; Real-time analysis - Cezurity Cloud: Cloud-based technology for detecting malware. Cezurity Cloud has the flexibility to fit into diverse solutions. Different information can be sent and processed by the server, depending on the needs of each product or solution. For example, Cezurity Cloud is currently used as a subsystem to supply data for the Cezurity EvO detection engine. Cezurity Cloud helps the Anti-Virus Scanner to detect malware. In addition, the technology is used for monitoring and analyzing changes in our APT-D solution designed to detect persistent threats against corporate networks.
  • CUDA
Multi-GPU Single Node
Cylance
Cylance
Advanced AI-based end point malware detection​​​​​​​
  • End point malware detection solution build using GPU deep learning technology
Multi-GPU Single Node
Discover Experiencer
Viisights
​​​​​​​
N/A
Face++
Megvii
Face Recognition for many verticals
  • Face Recognition
N/A
FaceControl
VOCORD
Detects and recognizes the faces of people, freely passing-by cameras, providing an instant alert to people on a watchlist, recognizes age and gender, counts people by faces, tags newcomers and regular visitors. The system uses deep neural network algorithms and performs recognition with extremely high accuracy in field applications.
  • Non-cooperative biometrical facial recognition system, ALPR, video analytics and pattern recognition, video processing and video enhancement
Multi-GPU Single Node
FindFace Enterprise Server SDK
NTechLab
Powered by Ntechlab face recognition algorithm, FindFace Enterprise Server SDK effectively processes face recognition and works on the client, no biometric data is transferred or stored by NtechLab. It detects and identifies people faces in live video streams and video footage addressing a wide range of business tasks, such as precise people count, demographic information, people flow and client behavior. FindFace Enterprise Server SDK allows for integration into any web, mobile, or desktop application using the cross-platform REST API. The FindFace Enterprise Server SDK 2.0 can be widely applied in a variety cases, including customer analytics, client verification, fraud prevention, hospitality, and access control.
  • CUDA, NVDec, DeepStream (testing)
Multi-GPU Single Node
Glueck Media; Glueck Analytics
Glueck
Deep Learning/Machine Learning based Computer Vision technology enabling understanding of how human feels and perceives the environment around them, focusing on face and people analytics.
  • Specific features supported includes; Facial Expression, Age Estimation, Gender, Ethnicity, Multi Face Tracking, Attention Time
Multi-GPU Single Node
Graydient V (Video)
Giant Grey
Machine learning anomaly detection for enhanced video analytics.
  • Proactive event detection and real-time alerts for safety, unauthorized access prevention, and loss prevention
  • 24/7 real-time analysis and alerting scaling to thousands of video streams across remote and geographically dispersed locations
Multi-GPU Single Node
Ikena Forensic, Ikena Spotlight
MotionDSP
Real-time (render-less) super-resolutionbased video enhancement and redaction software for forensic analysts and law enforcement professionals
  • Multi-filter, render-less video reconstruction (super-resolution, stabilization, light/color correction), and automatic tracking for redaction video from body cameras, CCTV and other sources
Multi-GPU Single
Node
iMotionFocus
iCetana
Intelligent analysis of video on 1,000+ camera streams to significantly filter and reduce the camera streams requiring an operator view.
  • GPU accelerated machine learning to identify abnormal activity within video streams
Multi-GPU 
Single Node
innovi
Agent Video Intelligence (Agent Vi)
Agent Video Intelligence’s (Agent Vi) solutions allow users to achieve optimal value from their video surveillance networks by automating video analysis to detect and alert for events of interest, expedite search in recorded video and extract statistical data from the footage captured by surveillance cameras
  • The solution provides real-time video analysis and alerts, video search and investigation, big data analysis, geospatial mapping and more
N/A
LUNA
VisionLabs
LUNA PLATFORM is a biometric data management system for facial verification and identification. The platform offers a great flexibility to create scenarios of varying complexity for integrated facial recognition on GPU. LUNA SDK, a facial recognition engine developed by VisionLabs, is the core technology of the LUNA PLATFORM.
  • Face detection, face alignment, facial descriptor extraction, face matching, facial attribute classification and face spoofing prevention. Optimized scalability using multithreading; Computationally efficient and compact face descriptors; Broad range of working conditions with domain-specific face descriptors
Multi-GPU
​​​​​​​Single
​​​​​​​Node
​​​​​​​
Nodeflux IVA
Nodeflux
Nodeflux’s IVA products and services cover wide range of sector including but not limited to smart city, defense and security, traffic management, toll management, store analytic (wholesale and retail), asset and facilities management, advertising, and transportation.
  • Specific product feature includes, face recognition, license plate recognition, traffic violation detection,Traffic monitoring, and flood monitoring. More such IVA Functions are being added with customer needs.
Multi-GPU Single
​​​​​​​Node
OpenALPR
OpenALPR
Automatic license plate and vehicle make/ model/year recognition software applied to video streams from IP cameras.
  • High accuracy license plate character recognition spanning North America, Europe, United Kingdom, Australia, Korea, Singapore and Brazil
  • APIs and source code available for embedded applications and web services
Multi-GPU
Single
Node
Recotraffic; Recosecure; Recohospital
Recogine
Intelligent Transportation Systems covering complex multi-modal surface transportation solutions at a regional, sub-regional, corridor and small area level using deep computer vision technologies.
  • Traffic Data Collection, Incident Detection, Integrated Management, Vehicle Classification and supporting related application
Multi-GPU Multi-Node
SenDISA Platform
Sensen Networks
SenSen provides Video-IoT data analytic software solutions targeted at increasing revenue and reducing the cost of operations of customers. SenSen software can process and fuse data from cameras and other sensors like GPS, Radar, and Lidar in real time for parking guidance, parking enforcement, speed enforcement, traffic data analytics and road safety applications. Casinos use SenSen solutions for table game analytic solutions and customer analytics. SenSen solutions are also used in retail, security and tolling applications.
  • Intelligent Transportation - parking enforcement Casino game table analytics
N/A
SenseFace
Sensetime
Improved security and operations by turning video data into useful information. Based on Video Synopsis technology, Syndex Pro allows users to review hours of video in minutes, while applying search filters for achieving accurate results and faster time-to-target. Data can be processed on-demand or in real time to support a wide range of use cases.
  • Review hours of video in minutes, Search in Video
N/A
XIntelligence XHound XTransport
Xjera Labs
AI-based image and video analytics solution. This solution is ideal for people counting and recognition and vehicle counting for various commercial applications, with proven accuracy, highlevel customization, and robust security.
  • People counting, face recognition, license plate recognition
N/A
Xpose
Lentix
​​​​​​​
N/A

RESEARCH: HIGHER EDUCATION AND SUPERCOMPUTING

Application name
Company
Product Description
Supported Features
GPU scaling
Arioc
Johns Hopkins University
High-throughput read alignment with GPU-accelerated exploration of the seedand-extend search space
  • Single-end alignment, paired-end alignment
  • Output in SAM or database-ready binary formats
  • Multiple GPU implementation
Multi-GPU Single Node
BarraCUDA
University of Cambridge Metabolic Research Labs
Sequence mapping software
  • Alignment of short sequencing reads, alignment of indels with gap openings and extensions.
Multi-GPU Multi-Node
BEAGLE-lib
Open Source
BEAGLE is a high-performance library that can perform the core calculations at the heart of most Bayesian and Maximum Likelihood phylogenetics packages. It can make use of highly-parallel processors such as those in graphics cards (GPUs) found in many PCs.
  • Evaluation of likelihood for sequence evolution on trees and Arbitrary models (e.g. nucleotide, amino acid, codon)
  • Speed-ups (over CPU only version): nucleotide model = up to 25x, codon model = up to 50x
Multi-GPU Single Node
BQSR
Parabricks
Base Quality Score Recalibration is a data pre-processing step that detects systematic errors made by the sequencer when it estimates the quality score of each base call.
​​​​​​​
Single GPU Single Node
BWA-Mem
Parabricks
N/A
Campaign
SimTK
An open-source library of GPUaccelerated data clustering algorithms and tools.
  • K-means (and Kps-means, a K-means variant for GPUs with parallel sorting for improved performance)
  • K-medoids
  • K-centers (a K-medoids variant in which medoids are placed only once according to a heuristic)
  • Hierarchical clustering and Selforganizing map
Multi-GPU Multi-Node
CUDASW++
Open Source
Open source software for SmithWaterman protein database searches on GPUs.
  • Parallel search of Smith-Waterman database.
Multi-GPU Single Node
CUSHAW
Open Source
Parallelized short read aligner
  • Parallel, accurate long read aligner for large genomes
Multi-GPU Single Node
G-BLASTN
Hong Kong Baptist University
GPU-accelerated nucleotide alignment tool based on the widely used NCBIBLAST.
  • Blastn and megablast modes of NCBIBLAST
Single GPU Single Node
GHOST-Z GPU
Akiyama_ Laboratory, Tokyo Institute of Technology
Sequence homology search tool.
  • ​​​​​​​Good for Shotgun Metagenome Analysis.
Multi-GPU Multi-Node
GPU-Blast
Carnegie Mellon University
Local search with fast k-tuple heuristic
  • Protein alignment according to BLASTP
Single GPU Single Node
mCUDA-MEME
Open Source
Ultrafast scalable motif discovery algorithm based on MEME.
  • Scalable motif discovery algorithm based on MEME
Multi-GPU Single Node
MUMmer GPU
Open Source
High-throughput local sequence alignment program
  • Aligns multiple query sequences against reference sequence in parallel
Single GPU Single Node
NVBIO
Open Source
NVBIO is an open source C++ library of reusable components designed to accelerate bioinformatics applications using CUDA.
  • Data structures, algorithms, and utility routines useful for building complex computational genomics applications on CPU-GPU systems
Multi-GPU Single Node
NVBowtie
Open Source
A largely complete implementation of the Bowtie2 aligner on top of NVBIO.
  • Good coverage of Bowtie2 features and comparable quality results
Multi-GPU Single Node
PEANUT
Open Source
Read mapper for DNA or RNA sequence reads to a known reference genome.
  • Achieves supreme sensitivity and speed compared to current state of the art read mappers like BWA MEM, Bowtie2 and RazerS3
  • PEANUT reports both only the best hits or all hits
Single GPU Single Node
REACTA
Open Source
A modified version of GCTA with improved computational performance, support for Graphics Processing Units (GPUs), and additional features. The purpose of REACTA is to quantify the contribution of genetic variation to phenotypic variation for complex traits.
  • GRM creation, REML analysis, Regional Heritability (including multi-GPU)
Multi-GPU Single Node
SOAP3
Genomics
GPU-based software for aligning short reads with a reference sequence. It can find all alignments with k mismatches, where k is chosen from 0 to 3.
  • Short read alignment tool that is not heuristic based; reports all answers.
Multi-GPU Multi-Node
SOAP3-dp
The University of Hong Kong
SOAP3-dp: Ultra-fast GPU-based tool for short read alignment via index-assisted dynamic programming.
  • Borrows-Wheeler Transformation, Dynamic Programming
Multi-GPU Single Node
SeqNFind
Accelerated Technology Labor-atories
SeqNFind is a powerful tool suite that addresses the need for complete and accurate alignments of many small sequences against entire genomes utilizing a unique hardware/ software cluster system for facilitating bioinformatics research in Next Generation sequencing and genomic comparisons.
  • Hardware and software for reference assembly, blast, SW, HMM, de novo assembly
Multi-GPU Single Node
Synomics Studio
Row Analytics
Multi-Omics Biomarker Network Discovery and ValidationSynomics Studio is a new, highly scalable analysis platform that enables researchers and clinicians to discover novelassociations between multiple genotypic, phenotypic and clinical attributes of their patients and their disease risk /therapy responses.
  • Multi-SNP association studies (GWAS studies with up to 30 SNPs/SNVs in combination)
  • Configurable number of cycles of fully random permutation for validation of SNP networks Speed-up on GPU = 170x vs multi-core CPU alone (further speedup available on multi-GPU and NVLink devices)
  • Representative performance for 15,000 case:controls, 200,000 SNPs
  • 2 SNP associations found and validated in 12 mins on single 20 core IBM POWER8NVL with 4x Tesla P100 GPU
  • 2 SNP associations found and validated in 12 mins on single 20 core IBM POWER8NVL with 4x Tesla P100 GPU
Multi-GPU Single Node
UGene
Unipro
Open source Smith-Waterman for SSE/ CUDA, Suffix array based repeats finder and dotplot.
  • Fast short read alignment
Multi-GPU Single Node
WideLM
Open Source
Fits numerous linear models to a fixed design and response.
  • Parallel linear regression on multiple similarly-shaped models
Multi-GPU Single Node

OIL AND GAS

Application name
Company
Product Description
Supported Features
GPU scaling
6X
Ridgeway Kite
Reservoir Simulation on Tesla
  • CUDA Simulation Parallelization
N/A
AISight for SCADA
BRS Labs
Proactive integrity management and real-time precursor alerts for enhanced SCADA operations in oil and gas.
  • 24/7 real-time analysis and alerting scaling to thousands of sensors across remote and geographically dispersed locations including historical analysis and trend reports.
Multi-GPU Single Node
AxRTM
Acceleware
Reverse Time Migration Software
  • CUDA accelerated libraries for building RTM software
Multi-GPU Multi-Node
DecisionSpace
Halliburton (Landmark)
E&P platform for geoscience, well planning, drilling, earth modeling
  • ​​​​​​​CUDA acceleration of fault extraction
Multi-GPU Single Node
Echelon
Stoneridge Technology
Reservoir simulator
  • Fully GPU-accelerated reservoir model, including dual-perm, dual porosity, pressure varying perm and porosity
  • Eclipse compatible input deck
Multi-GPU Multi-Node
GeoDepth
Emerson
Seismic Interpretation Suite
  • CUDA-accelerated RTM
Multi-GPU Multi-Node
Geoteric
Geoteric
Seismic interpretation
  • Attributes calculations
  • Geobodies extraction
Multi-GPU Single Node
Graydient S (SCADA)
Giant Grey
Machine learning anomaly detection for large scale industrial data.
  • Proactive integrity management and real-time precursor alerts for enhanced SCADA operations in oil and gas
  • 24/7 real-time analysis and alerting scaling to thousands of sensors across remote and geographically dispersed location
Multi-GPU Single Node
HUESpace
Bluware
Library SDK toolkit for creating applications for seismic compression and seismic/ geospatial imaging and interpretation
  • CUDA acceleration for compression and large-scale visualization
Multi-GPU Single Node
InsightEarth
CGG
Seismic Interpretation Suite
  • OpenCL acceleration for AFE and 3D Curvature attributes
Multi-GPU Single Node
Omega2 RTM
Schlum-berger
Seismic processing
  • Multiple algorithms (RTM, etc)
Multi-GPU Multi-Node
PumaFlow IFP
Beicip-Franlab
Reservoir simulation
  • GPU-accelerated linear solver
Multi-GPU Single Node
Roxar RMS
Emerson
Reservoir modeling
  • Multi GPU capabilities via HUEspace
Multi-GPU Single Node
RTM
Tsunami
Seismic processing
  • RTM algorithm
Multi-GPU Multi-Node
Seismic City RTM
Seismic City
RTM Seismic Processing
  • CUDA acceleration
Multi-GPU Multi-Node
SKUA
Emerson
Reservoir modeling
  • Faults, Horizons and Flow Simulation Grid
Multi-GPU Single Node
tNavigator []
Rock Flow Dynamics (RFD)
tNavigator Solver is a software package, offered as a single executable, which allows to build static and dynamic reservoir models, run dynamic simulations, calculate PVT properties of fluids, build surface network model, calculate lifting tables, and perform extended uncertainty analysis as a part of one integrated workflow.
  • CUDA, Pascal/Volta architecture, MultiNode GPU
Multi-GPU Multi-Node
VoxelGeo
Emerson
Seismic Interpretation Package
  • Multi-GPU volume rendering
  • Horizon-flattening
  • Attribute calculations
Multi-GPU Single Node

MEDICAL IMAGING

Application name
Company
Product Description
Supported Features
GPU scaling
aidoc
Aidoc Medical
AI based decision support software analyzing medical imaging to provide solutions for detecting acute abnormalities across the body, helping radiologists prioritize life threatening cases and expedite patient care. Agnostic to PACS and RIS systems
  • classification and segmentation using deep learning on top of any PACS platform
N/A
Centricity Universal Viewer
General Electric
PACS Featuring a single image repository across 2D and 3D studies, Centricity Universal Viewer intuitively brings together the tools needed by radiologists, cardiologists and other clinicians to provide enterprise-wide access on a single desktop.
  • Intelligent productivity tools, Advanced visualization applications, An advanced mammography workflow, Cross Enterprise Display, Advanced Cardiology tools, Access from anywhere1 Image enable your EMR.
N/A
deepflow
Helmholtz Zentrum München
Deep learning tool for reconstructing cell cycle and disease progression using deep learning from flow cytometry data.
  • Tool will show that deep convolutional neural networks combined with nonlinear dimension reduction enable reconstructing biological processes based on raw image data. Tool will demonstrate this by reconstructing the cell cycle of Jurkat cells and disease progression in diabetic retinopathy. In further analysis of Jurkat cells, Tool will detect and separate a subpopulation of dead cells in an unsupervised manner and, in classifying discrete cell cycle stages, Tool will reach a sixfold reduction in error rate compared to a recent approach based on boosting on image features. In contrast to previous methods, deep learning based predictions are fast enough for on-the-fly analysis in an imaging flow cytometer. Uses MXNet, cv2, numpy, python3
Single GPU Single Node
Ibex Decision Support
IBEX
Through digitalized pathology - they run DL on prostate cancer pathology and update if there was anything cancerous found. combine data from digitized glass slides and electronic medical records to reveal underlying patterns and extract valuable clinical insights that can transform how pathology and oncology are practiced and propel them into the information age.
Single GPU Single Node
IntelliSpace
Phillips
PACS
​​​​​​​
N/A
iNtuition iEMV
Terarecon, Inc.
Advanced Image Post-Processing
​​​​​​​
N/A
JiveX
VISUS Health IT
free DICOM Viewer provides comparable functionality as the JiveX Review Client such as measuring tools, zoom, etc. The hanging protocols, which are less relevant outside the clinical setting, are not available.
​​​​​​​
N/A
PowerGrid
University of
​​​​​​​ Illinois Urbana-Champaign
Advanced MRI reconstruction modeling
  • Discrete Fourier Tranform
Multi-GPU Single Node
RadiAnt
Medixant
RadiAnt DICOM Viewer provides basic tools for the manipulation and measurement of images
  • Fluid zooming and panning, Brightness and contrast adjustments, negative mode, Preset window settings for Computed Tomography (lung, bone, etc.), Ability to rotate (90, 180 degrees) or flip (horizontal and vertical) images, Segment length, Mean, minimum and maximum parameter values (e.g. density in Hounsfield Units in Computed Tomography) within circle/ellipse and its area, Angle value (normal and Cobb angle), Pen tool for freehand drawing
N/A
Radiology Assist
Zebra Imaging
Receives imaging scans from various modalities and automatically analyzes them for a number of different clinical findings. Findings are provided in real time to radiologists or other physicians and hospital systems as needed.
  • Classification and segmentation on top of any PACS platform
N/A
SYNAPSE
Fujifilm Corporation
​​​​​​​
N/A
Visage 7
Pro Medicus, Ltd.
DICOM viewer, also referred to as: enterprise viewer, a universal viewer (UniViewer), or an archive neutral viewer
​​​​​​​
N/A
Vitrea Vision
Vital Images
Advanced Image Post-Processing
​​​​​​​
N/A

MEDIA & ENTERTAINMENT

Application name
Company
Product Description
Supported Features
GPU scaling
3ds Max
Autodesk
3D modeling, animation, and rendering
  • Faster interactive graphics
  • Availability of Arnold with AI denoising
  • Availability of Chaos V-Ray, Otoy Octane, Redshift, cebas finalRender third-party GPU renderers
Multi-GPU Single Node
Agisoft PhotoScan
AGI Soft
Agisoft PhotoScan is a stand-alone software product that performs photogrammetric processing of digital images and generates 3D spatial data to be used in GIS applications, cultural heritage documentation, and visual effects production as well as for indirect measurements of objects of various scales.
  • CUDA-accelerated photogrammetry solution
Multi-GPU Single Node
Altair Thea Render
Altair
Physically-based progressive spectral CPU/GPU Renderer supporting fast interactive changes and bucket rendering for high resolution images
  • GPU-accelerated hybrid renderer
  • Advanced material layering system with subsurface scattering, displacement mapping, physical sun-sky and IES support
Multi-GPU Single Node
Blender
Blender Inst
3D modeling, rendering and animation
  • GPU-accelerated viewport
Single GPU Single Node
Blender Cycles
Blender Inst.
GPU renderer
  • CUDA-accelerated rendering
Multi-GPU Single Node
Cinema 4D
Maxon
3D modeling, animation, and rendering
  • Increased model complexity at interactive rates
  • Support for Chaos V-Ray, Otoy Octane and Redshift third-party GPU renderers
  • Accelerated ProRender GPU rendering
Single GPU Single Node
DAZ Studio
Daz3D
Powerful and free 3D creation software tool that is not only easy to use but rich in features and functionality. Whether you are a novice or proficient 3D artist or 3D animator, Daz Studio enables you to create amazing 3D art.
  • Iray Interactive
  • Iray Photoreal
  • MDL support
Multi-GPU Single Node
finalRender
Cebas
GPU renderer
  • CUDA-based GPU rendering
Multi-GPU Single Node
FurryBall
AAA Studio
GPU renderer
  • NVIDIA OptiX and DirectX GPU rendering
Single GPU Single Node
HIERO Player
Foundry
Shot management, conform and review timeline
  • Fluid, interactive playback
Single GPU Single Node
Houdini
SideFX
Procedural 3D modeling, animation and rendering
  • Faster simulations
Multi-GPU Single Node
Indigo
Glare Technology
Unbiased, physically-based renderer.
  • GPU-accelerated rendering.
Multi-GPU Single Node
KATANA
The Foundry
Powerful look development and lighting tool
  • Faster interactive graphics
Single GPU Single Node
Kilton/Megaton
Blastcode
Physics-based simulation plug in
  • Faster simulation
Single GPU Single Node
Lightwave
NewTek
3D modeling, animation, and rendering
  • Increased model complexity at interactive rates
Single GPU Single Node
LuxRender
LuxRender
GPU 3D Renderer
  • GPU-accelerated ray tracing
Single GPU Single Node
MARI
The Foundry
3D paint tool allows painting directly onto 3D models
  • Faster interactive painting
Single GPU Single Node
Mantra
SideFX
Houdini Mantra renderer
  • Much faster interactive rendering using OptiX AI de-noising
N/A
Maxwell
Next Limit
CUDA-accelerated interactive and finalframe renderer
  • unrestricted image resolution
  • network rendering
  • de-noising
Multi-GPU Single Node
Maya
Autodesk
3D modeling, animation, and rendering
  • Increased model complexity, larger scenes
  • Availability of Chaos V-Ray, Otoy Octane and Redshift third-party GPU renderers
Single GPU Single Node
MODO
Foundry
3D modeling, animation and rendering
  • Increased model complexity, larger scenes
Single GPU Single Node
Motion Builder
Autodesk
Character animation and motion capture
  • Increased model complexity at interactive rates
Single GPU Single Node
Mudbox
Autodesk
3D sculpting
  • Increased model complexity at interactive rates
Single GPU Single Node
Octane Render
Otoy
CUDA-accelerated GPU renderer
  • GPU rendering
Multi-GPU Single Node
Realflow
Next Limit
Fluid simulation system
  • GPU-accelerated simulation
Single GPU Single Node
RealityCapture
Capturing Reality
Photogrammetry
  • CUDA-accelerated, fast photogrammetry
Multi-GPU Single Node
Redshift Renderer
Redshift
GPU-accelerated, biased renderer
  • CUDA-based GPU final-frame rendering
  • Mac and Windows supported
Multi-GPU Single Node
Sculptris
Pixologic
3D sculpting
  • Increased model complexity at interactive rates
Single GPU Single Node
TurbulenceFD
Jawset
Voxel-based gaseous fluid dynamics plug-in
  • 12X performance boost using NVIDIA GPUs
Single GPU Single Node
Twinmotion
Abvent
AEC project review/phasing/marketing showcase including VR viewer with mulit CAD/BIM/AEC import and a simple to use interface but powered by UE4
  • UE4 PBR material VR experience
Single GPU Single Node
V-Ray GPU
Chaos Group
GPU renderer with CPU Hybrid rendering
  • CUDA interactive and final-frame GPU rendering
Multi-GPU Single Node
ARRI de-bayering SDK
ARRI
RAW de-bayering
  • De-bayering of ARRI RAW and primary color grading.
Single GPU Single Node
Baselight
FilmLight
Color grading
  • Real-time color correction
Multi-GPU Single Node
Cinema RAW SDK
Canon
RAW de-bayering
  • GPU-accelerated de-bayering
Single GPU Single Node
DaVinci Resolve
Blackmagic Design
Color grading and editing
  • Real-time color correction and denoising
Multi-GPU Single Node
Dark Energy
Cinnafilm
Application and plug-in for image enhancement
  • ​​​​​​​Image de-noising and restoration
Multi-GPU Single Node
Diamant-Film Restoration
HS-Art
Film cleanup and restoration
  • CUDA accelerated optical flow, deflicker, in-painting and over 30 filters
Multi-GPU Single Node
Effects Suite
Red Giant
Visual effects plug-in
  • Faster effects
Single GPU Single Node
Grain and Noise Reducer
Wavelet Beam
Video noise reduction
  • CUDA-accelerated grain and noise reduction
Multi-GPU Single Node
HDR Image Analyser
aja
A 1RU waveform, histogram, vectorscope and Nit-level HDR monitoring solution for HD, UltraHD, 2K and HD resolution with HDR and WCG content.
  • Precise, high quality UltraHD UI for native-resolution picture display Advanced out of gamut and out of brightness detection with error intolerance Support for SDR (Rec.709), ST2084/PQ and HLG analysis CIE graph, Vectorscope, Waveform, Histogram Out of gamut false color mode to easily spot out of gamut/out of brightness pixels Data analyzer with pixel picker Up to 4K/ UltraHD 60p over 4x 3G-SDI inputs SDI auto signal detection File base error logging with timecode Display and color processing look up table (LUT) support Line mode to focus a region of interest onto a single horizontal or vertical line Loop through output to broadcast monitors Still store Nit levels and phase metering Built-in support for color spaces from ARRI, Canon, Panasonic, RED and Sony
N/A
Magic Bullet Looks
Red Giant
Color and finishing tools
  • Faster effects
Single GPU Single Node
Mist
Marquise Techn-ologies
Mastering tool for cinema, broadcast and over-the-top content
  • CUDA-accelerated de-bayering, color grading, transcoding and image enhancement
Multi-GPU Single Node
Nucoda
Digital Vision
Color grading
  • GPU-accelerated color grading
Single GPU Single Node
Pablo family
Grass Valley
Color grading and finishing
  • Real time color correction
Multi-GPU Single Node
PFClean
The Pixel Farm
Image restoration and remastering
  • CUDA-based image processing acceleration
Multi-GPU Single Node
RAW Converter
ARRI
RAW de-Bayering and primary color grading
  • CUDA-accelerated de-bayering and primary grading
Single GPU Single Node
REDCINE-X PRO
Red Digital Cinema
Primary color grading
  • CUDA-accelerated de-bayering and primary color grading
Single GPU Single Node
Red Digital Cinema R3D SDK
Red Digital Cinema
Red Digital Cinema camera SDK decodes and de-bayers Red RAW camera data and allows primary color grading. It is used by many color grading and video editing applications.
  • CUDA accelerated wavelet decoding and de-bayering
Single GPU Single Node
Scratch
Assimilate
Color grading and finishing
  • Accelerated debayering for real-time digital finishing
Single GPU Single Node
SpeedGrade CC
Adobe
Color grading
  • Real-time grading and finishing with Lumetri Deep Color Engine
Single GPU Single Node

MANUFACTURING/CONSTRUCTION: CAD/CAE/CAM

Application name
Company
Product Description
Supported Features
GPU scaling
ADS Flow Solver - Code LEO
ADSCFD, Inc.
CFD simulation for turbochargers, turbines, and compressors
  • URANS, structured/unstructured solver, explicit density based
Multi-GPU Multi-Node
Altair AcuSolve
Altair
Computational Fluid Dynamics (CFD) tool, providing users with a full range of physical models. Simulations involving flow, heat transfer, turbulence, and nonNewtonian materials are handled with ease by AcuSolve’s robust and scalable solver technology.
  • Linear equation solver
Multi-GPU Single Node
ANSYS Fluent
ANSYS
General purpose CFD software
  • Linear equation solver
  • Radiation heat transfer model
  • Discrete Ordinate Radiation model
Multi-GPU Multi-Node
ANSYS Icepak
ANSYS
CFD software for electronics thermal management
  • Linear Equation Solver
Multi-GPU Multi-Node
ANSYS Polyflow
ANSYS
CFD software for the analysis of polymer and glass processing
  • Direct Solvers
Multi-GPU Single Node
Altair nanoFluidX
Altair
State-of-the-art particle-based (SPH) fluid dynamics code for simulation of single and multiphase flows in complex geometries with complex motion. It can be used to predict the oiling in powertrain systems with rotating shafts gears and analyze forces and torques on individual components of the system.
  • Extremely fast Single and Multiphase Flows Arbitrary motion definition
  • Time-dependent acceleration
  • Inlets/outlets
  • Surface tension and adhesion
  • Steady-state thermal solutions through coupling
Multi-GPU Multi-Node
Altair ultraFluidX
Altair
Simulation tool for ultra-fast prediction of the aerodynamic properties of passenger and heavy-duty vehicles as well as for the evaluation of building and environmental aerodynamics.
  • CUDA-accelerated high-fidelity flow field computations based on the Lattice Boltzmann method
  • CUDA-aware MPI support for multi-GPU and multi-node usage
  • Efficient implementation of tailor-made automotive features, including rotating wheels, belt systems, boundary layer suction and porous media support
Multi-GPU Multi-Node
CPFD BarracudaVR and Barracuda
CPFD
Fluidized bed modeling software
  • Linear equation solver, particle calculations
Single GPU Single Node
DYVERSO
Realflow
3D modeling, animation, and rendering
  • Fluid solver (DY-SPH, DY-PBD)
Single GPU Single Node
EXN/Aero
Envenio
On-demand HPC-cloud CFD solver
  • Multiphase, heat transfer, buoyancy, multi-grid, concurrent single/double precision, ideal gas, incompressible & compressible flows, RANS/LES/DES, conjugate heat transfer
Multi-GPU Multi-Node
FFT Actran
FFT
Simulation of acoustics propagation at high frequency or in huge domains such as exhaust of turbomachines, full truck cabin exterior acoustics, and ultrasonic parking sensors.
  • Discontinuous Galerkin Method (DGM) solver
Multi-GPU Single Node
FINE/Turbo
Numeca Inter-national
  • Structured, multi-block, multi-grid CFD solver targeting the turbo machinery industry
  • Multi-grid solver
Multi-GPU Multi-Node
GeoPlat-RS
GridPoint Dynamics (GPD)
Geoplat Pro-RS is a parallel hydrodynamic simulator with a flexible architecture. This enables to reduce the time for writing the entire simulator by 2/3, and, as consequence, to quickly bring new physical processes into the algorithm. Current stage of development: Implementation of BlackOil model; Creation of pre- and post-processing modules (BlackOil model). Implementation of compositional model; Creation of pre- and postprocessing modules (BlackOil model and compositional model).
  • CUDA, Spectral Decomposition with CUFFT library
Multi-GPU Single Node
HiFUN
SANDI
High Resolution Flow Solver on Unstructured Meshes. State-of-the-art Euler/RANS solver. Super scalability on massively parallel HPC platforms. The code is ported using OpenACC directives for NVIDIA GPU
  • HiFUN imbibes most recent CFD technologies; many of them home grown
  • HiFUN exhibits highly scalable parallel performance with its ability to scale upto several thousand processors on massively parallel computing platforms
  • Capable of handling complex geometries and flow physics arising in high lift flows
Multi-GPU Single Node
JSCAST
Qualica Inc.
Integrated CAE product for studying and predicting the casting process. Includes high precision mold filling and solidification solvers
  • Basic module includes pre-/post processors, solvers and material property database. Optional modules include models for mold filling, solidification, casting deformation due to macro-shrinkage or due to the influence of back-pressure
Single GPU Single Node
midas NFX(CFD)
Midas
General purpose CFD software based on FEM
  • Linear equation solver (Iterative Solver and AMG Preconditioner)
Single GPU Single Node
MIKE 3
DHI
3D Modeling of Coast and Sea
  • Hydrodynamics, Advection-dispersion, Agent based modeling, underwater acoustic simulator, sand transport, mud transport, particle tracking, oil spill, ecological modeling, agent based modeling.
Multi-GPU Multi-Node
MIKE 21
DHI
2D hydrological modelling of coast and sea
  • Hydrodynamics
  • Advection-dispersion
  • Sand and mud transport
  • Coupled modelling
  • Particle tracking
  • Oil spill
  • Ecological modelling
  • Agent based modelling
  • Various wave models
Multi-GPU Single Node
MIKE FLOOD
DHI
1D & 2D urban, coastal, and riverine flood modelling
  • Hydrodynamics
Multi-GPU Single Node
Moldflow
Autodesk
Plastic mold injection software
  • Linear equation solver
Single GPU Single Node
Numerix
Zeus
Simulation of flow around buildings
  • Discrete computational technique
Multi-GPU Single Node
Pacefish
Numeric Systems GmbH
CFD application for ground transportation and building aerodynamics
  • Lattice-Boltzmann Method for singlephase flows
  • transient simulation
  • isothermal modeling
  • integrated fast and robust preprocessor for complex geometries
  • local grid refinement
  • uRANS (K-Omega-SST), hybrid uRANSLES (SST-DDES & SST-IDDES)
  • LES (Smagorinsky) turbulence modeling
Multi-GPU Single Node
Particleworks
Prometech
CFD software using MPS (Moving Particle Simulation) method for automotive, energy, material, chemical processing, medical, food, and civil engineering industries where free surface fluid flow and fluid mixing phenomena occur.
  • viscosity model, viscosity/pressure term solution, turbulence model, airflow, surface tension model, rigid body, thermal properties, external force and aeration.
  • boundary conditions: particle wall, polygon wall, inflow and outflow boundary, simulation domain, and pump.
Multi-GPU Multi-Node
PowerViz
Exa
Industry proven, modern post-processing app for EXA POWERFLOW CFD
  • Rendering
  • Ray tracing
Multi-GPU Single Node
Siemens STARCCM+
Siemens PLM
Post-processing for CFD-focused multiphysics simulation
  • Rendering
Single GPU Single Node
Simcenter 3D
Siemens PLM Software
Industry proven, modern pre- & postprocessing app for multidiscipline CAE
  • Rendering
  • Raytracing
Multi-GPU Single Node
Speed IT FLOW
Vratis
Incompressible single-phase CFD software
  • Finite-volume solver: Simple and piso, incompressible single-phase flows with k-OmegaSST turbulence
Single GPU Single Node
Turbostream
Turbo-stream Ltd.
CFD software for turbomachinery flows
  • Explicit solver
Multi-GPU Multi-Node
zCFD
Zenotech Simulation Unlimited
General purpose CFD solver
  • General purpose CFD solver
Multi-GPU Single Node

FEDERAL, DEFENSE AND INTELLIGENCE

Application name
Company
Product Description
Supported Features
GPU scaling
Advanced Ortho Series
Digital-Globe
Geospatial visualization
  • Image orthorectification
Multi-GPU Single Node
ArcGIS Pro
ESRI
Viewshed2 - Determines the raster surface locations visible to a set of observer features, using geodesic methods. Aspect - Determines the compass direction that the downhill slope faces for each location Slope - Determines the slope (gradient or steepness) from each cell of a raster
  • Viewshed2 - transforms the elevation surface into a geocentric 3D coordinate system and runs 3D sightlines to each transformed cell center.
  • Aspect - The values of each cell in the output raster indicate the compass direction the surface faces at that location. It is measured clockwise in degrees from 0 (due north) to 360 (again due north), coming full circle.
  • Slope - The output slope raster can be calculated in two types of units, degrees or percent (percent rise).
Multi-GPU Single Node
Blaze Terra
Eternix
Geospatial visualization
  • 3D visualization of geospatial data
Multi-GPU Single Node
Elcomsoft
Elcomsoft
High-performance distributed password recovery software with NVIDIA GPU acceleration and scalability to over 10,000 workstations
  • GPU acceleration for password recovery
  • 10-100x speedup for password recovery
Multi-GPU Single Node
ENVI
Harris
Image Processing and Analytics
  • Image orthorectification
  • Image transformation
  • Atmospheric correction
  • Panchromatic co-occurrence texture filter
Multi-GPU Single Node
Geomatics GXL
PCI
Image processing
  • Image orthorectification and additional image processing
Multi-GPU Single Node
GeoWeb3d Desktop
GeoWeb3d
Geospatial visualization of 3D and 2D data; mensuration; mission planning
  • 3D visualization and analysis of geospatial data
Multi-GPU Single Node
Ikena ISR
MotionDSP
Real-time full motion video (FMV) and wide-area motion imagery (WAMI) enhancement and computer-vision-based analytics software for intelligence analysts
  • Real-time super-resolution-based video enhancement on live streams, geospatial visualization, target detection and tracking, and fast 2-D mapping
Multi-GPU Single Node
Luciad-Lightspeed
Luciad
Geospatial visualization and analysis
  • Geospatial situational awareness
Single GPU Single Node
OmniSIG
deepsig.io
The OmniSig sensor provides a new class of RF sensing and awareness using DeepSig’s pioneering application of Artificial Intelligence (AI) to radio systems. Going beyond the capabilities of existing spectrum monitoring solutions, OmniSIG is able to not only detect and classify signals but understand the spectrum environment to inform contextual analysis and decision making. Compared to traditional approaches, OmniSIG provides higher sensitivity and accuracy, is more robust to harsh impairments and dynamic spectrum environments, and requires less computational resources and dynamic range.
  • The OmniSIG sensor typically operates in a real-time streaming fashion, ingests radio samples from many common radio interfaces, and can make use of packet formats like VITA49 or SDDS. The web-based user interface can be used from any device with a browser, including mobile handsets, and the OmniSIG software also provides its metadata output stream in JSON form for use by other applications.
Multi-GPU Single Node
SNEAK
OpCoast
Electromagnetic signals propagation modeling for complex urban and terrain environments
  • Ray tracing, DTED and remote sensing inputs.
Multi-GPU Single Node
SocetGXP
BAE Systems
The Automatic Spatial Modeler (ASM) is designed to generate 3-D point clouds with accuracy similar to LiDAR, which can extract 3-D objects from stereo images. ASM can extract dense 3-D point clouds from stereo images, and extract accurate building edges and corners from stereo images with high resolution, large overlaps, and high dynamic range.
  • Automated 3D feature extraction
Multi-GPU Single Node
Terrabuilder PhotoMesh
Skyline Software
PhotoMesh integrates a GPU-based, fast algorithm, able to automatically build 3D models from simple photographs. PhotoMesh revolutionizes the use of geospatial data by fully automating the generation of high-resolution, textured, 3D mesh models from standard 2D images.
  • 3D model building from imagery; building texture generation.
Multi-GPU Single Node

Artificial intelligence

Application name
Company
Product Description
Supported Features
GPU scaling
AlphaSense
Alpha-Sense
  • PaaS for Financial analysis based on public corporate information
  • Geared at financial analysts within financial services
  • Allows very fast searches of public corporate information, and allowsv questing answering format (“the Google for Analyst research”)
  • PaaS for Financial analysis based on public corporate information
  • Geared at financial analysts within financial services
  • Allows very fast searches of public corporate information, and allowsv questing answering format (“the Google for Analyst research”)
Multi-GPU Single Node
ANACONDA Enterprise
ANAC-ONDA
Anaconda Enterprise takes Anaconda to the next level and makes it easy, secure, and manageable to scale powerful analytics workflows from the laptop to the server and then scaled out to your cluster, while also incorporating collaboration, publishing, security, and Hadoopoptimized deployment.
  • Anaconda Enterprise opens up the full capabilities of your GPU or multi-core processor to the Python programming language. Common operations like linear algebra, random number generation, FFT and Monte Carlo simulation run faster, and take advantage of multiple cores
  • Identify and remedy performance bottlenecks easily with data, code and in-notebook profilers
  • Includes Bindings to CUDA libraries: cuBLAS, cuFFT, cuSPARSE, cuRAND, and sorting algorithms from the CUB and Modern GPU libraries
Multi-GPU Single Node
Apache Mahout
Apache Mahout A
Mahout is building an environment for quickly creating scalable performant machine learning applications.
  • Designed to make it extremely easy to add new algorithms. Designed to be distributed instead of single machine.

Multi-GPU Multi Node
Artificial Intelligence Radio Transceiver (AIR-T)
Deepwave Digital
The Artificial Intelligence Radio Transceiver (AIR-T) is software defined radio designed and developed for RF deep learning applications. The AIR-T is equipped with three signal processors including a 256 core NVIDIA Jetson TX2, a field programmable gate array (FPGA), and dual embedded CPUs.
  • The AIR-T is designed to be an edgecompute inference engine for deep learning algorithms.
N/A
ARYA.ai
ARYA.ai
Deep learning platform with end-to-end workflows for Enterprise. Incorporates TensorFlow. Focusing on consumer banking and insurance industries.
  • Deep learning platform with end-to-end workflows for Enterprise. Incorporates TensorFlow.

Multi-GPU Multi-Node
Avitas Systems - Inspection as a Service
Avitas Systems
Inspection solution offering enhanced, robotic-based autonomous inspection, advanced predictive analytics, digital inspection data warehousing, and intelligent inspection planning recommendations available in a webbased interface
  • DL for visual inspection
N/A
BIDMach -
UC Berkeley
The fastest machine learning library available. Holds the record for many common machine learning algorithms. Both BIDMach and its sister library BIDmat were originated at UC Berkley.
  • Written in Scala and supports Scala and Java interfaces
  • Supports linear regression, logistic regression, SVM, LDA, K-Means and other operations.
Multi-GPU Single Node
Bons.ai
Bons.ai
Bons.ai is an artificial intelligence platform which abstracts away the lowlevel, inner workings of machine learning systems to empower more developers to integrate richer intelligence models into their work.
  • Easy to use programming interface. Bons.ai has its own programming language called Inkling. Primary focus on reinforcement learning.
Multi-GPU Single Node
C3 Fraud Detection
C3 IoT
C3 IoT is a Platform-as-a-Service for industrial customers including utilities, manufacturing, retail, finance, and healthcare. GPUs consumed exclusively through Amazon AWS. Their first DL use cases targets fraud detection from time series power consumption data.
  • Deep learning models, including RNNs
Multi-GPU Single Node
Caffe2
Facebook
This is a faster framework for deep learning, it’s forked from BVLC/caffe (master branch). This allows data-parallel via MP
  • Using the GPU cluster processing mass image data
Multi-GPU Single Node
Chainer
Preferred Networks, Inc.
DL framework that makes the construction of neural networks (NN) flexible and intuitive.
  • Dynamic NN construction, which makes debugging easier
  • CPU/GPU-agnostic coding, which is promoted by CuPy, partially NumPycompatible multidimensional array library for CUDA
  • Data-dependent NN construction, which fully exploits the control flows of Python without magic
Multi-GPU Multi-Node
Clarifai
Clarifai
Clarifai brings a new level of understanding to visual content through deep learning technologies. Clarifai uses GPUs to train large neural networks to solve practical problems in advertising, media, and search across a wide variety of industries.
  • GPU-based training and inference
  • Recognizes and indexes images with predefined classifiers, or with custom classifiers
Multi-GPU Single Node
CNTK
Microsoft
Microsoft’s Computational Network Toolkit (CNTK) is a unified computational network framework that describes deep neural networks as a series of computational steps via a directed graph.
  • Supports many applications, including Speech Recognition, Machine Translation, Image Recognition, Image Captioning, Text Processing and Relevance, Language Understanding, Language Modeling
Multi-GPU Single Node
Databricks cloud
Databricks
Databricks cloud is GPU-accelerated PaaS offering build on top of AWS.
  • GPU instances available with CUDA drivers included,
  • GPU support provided by Spark scheduler,
  • integration of TensorFlow, Keras
  • TensorFrames data connector
  • Deep learning pipelines/workflows
  • transfer learning and image loading.
Multi-GPU Multi-Node
DeepBench
BaiDu Research
The primary purpose of DeepBench is to benchmark operations that are important to deep learning on different hardware platforms.
  • DeepBench consists of a set of basic operations (dense matrix multiplies, convolutions and communication) as well as some recurrent layer types
  • Both forward and backward operations are tested
  • This first version of the benchmark will focus on training performance in 32-bit floating-point arithmetic
Multi-GPU Single Node
DeepInstinct
Deep-Instinct
Zero day end point malware detection solution offered to enterprise markets.
  • Zero-day threats & APT attack detection on endpoints, servers and mobile devices
Multi-GPU Single Node
Deeplearning4j
Skymind
Deeplearning4j is the most popular deep learning framework for the JVM, and includes all major neural nets such as convolutional, recurrent (LSTMs) and feedforward.
  • Integrates with Hadoop and Spark to run distributed
  • Java and Scala APIs
  • Composable framework that facilitates building your own nets
  • Includes ND4J, the Numpy for Java.
Multi-GPU Single Node
Dessa
Dessa
Deep Learning Platform based on TensorFlow. Allows end-to-end workflows. Targeting consumer banking and insurance industries.
  • Deep learning workflows can be built
  • Based on TensorFlow
  • Use cases in consumer banking and Insurance
Multi-GPU Multi-Node
Dextro
Axon
Dextro’s API uses deep learning systems to analyze and categorize videos in realtime.
  • Object and scene detection
  • Machine transcription for audio
  • Motion and movement detection.
Multi-GPU Single Node
Gridspace
Gridspace
Voice analytics to turn your streaming speech audio into useful data and service metrics. Instrument your contact call center and work communications today with powerful deep learning-driven voice analytics
  • Speech-to-text transcription
  • Compliance
  • Call grading
  • Call topic modeling
  • Customer service enhancement
  • Customer churn prediction
N/A
Keras
Open Source
Keras is a minimalist, highly modular neural networks library, written in Python, and capable of running on top of either TensorFlow or Theano. Keras was developed with a focus on enabling fast experimentation.
  • cuDNN version depends on the version of TensorFlow and Theano installed with Keras
  • Supported Interfaces: Python
Multi-GPU Single Node
Krisp
2Hz
2Hz, Inc is building deep learning based technologies that improve voice audio quality in real-time communications. 2Hz’s Noise Suppression technology doesn’t have multiple-microphone dependency and operates on any audio stream bi-directionally. With this innovation, Telcos and Cloud Communication Service Providers have the opportunity to move the ;voice enhancement; workloads to the network (as opposed to running on the user device) and be in the direct control of the quality of voice services provided.
  • The benchmark results illustrate that the NVIDIA Turing T4 platform is very promising for the voice processing use case given its price and energy efficiency. As expected, the Tesla V100 provides the most scalability per single GPU.
Single GPU Single Node
MatConvNet
Mat-ConvNet
CNNs for MathWorks MATLAB, allows you to use MATLAB GPU support natively rather than writing your own CUDA code
  • Building Blocks, Simple CNN wrapper, DagNN wrapper, cuDNN implemented
Multi-GPU Single Node
Matriod
Matriod
Matroid offers video classification service in the cloud. Matroid allows training video detections on a set of images and then applying those video detection. For example, video detectors can be trained to identify Steve Jobs and then search for Steve Jobs appearance anywhere in the video
  • Matroid is multi-cloud and allows it customers to easily switch between AWS, Azure and Google Cloud.
Multi-GPU Multi-Node
MetaMind
Einstein Platform Services
Provides a deep learning API for image recognition and text sentiment analysis. Uses either prebuilt, public, or custom classifiers.
  • GPU-based training and inference
  • Recognizes image and analyzes text, creates and trains classifiers with tooling for uploading and managing datasets
Multi-GPU Single Node
MXNet
Amazon
MXnet is a deep learning framework designed for both efficiency and flexibility that allows you to mix the flavors of symbolic programming and imperative programming to maximize efficiency and productivity.
  • MXnet supports cuDNN v5 for GPU acceleration
Multi-GPU Multi-Node
Neon
Intel
Neon is a fast, scalable, easy-to-use Python based deep learning framework that has been optimized down to the assembler level. Neon features a rich set of example and pre-trained models for image, video, text, deep reinforcement learning and speech applications.
  • Training, inference and deployment of deep learning models. Process over 442M images per day on a Titan X
Multi-GPU Single Node
NVCaffe
Berkeley AI Research
The Caffe deep learning framework makes implementing state-of-the-art deep learning easy.
  • Process over 40M images per day with a single NVIDIA K40 or Titan GPU
Single GPU Single Node
PaddlePaddle
Paddle-Paddle
PaddlePaddle (PArallel Distributed Deep LEarning) is an easy-to-use, efficient, flexible and scalable deep learning platform, which is originally developed by Baidu scientists and engineers for the purpose of applying deep learning to many products at Baidu.
  • ​​​​​​​Optimized math operations through SSE/AVX intrinsics, BLAS libraries (e.g. MKL, ATLAS, cuBLAS) or customized CPU/GPU kernels
  • Highly optimized recurrent networks which can handle variable-length sequence without padding
  • Optimized local and distributed training for models with high dimensional sparse data
Multi-GPU Single Node
Sentient
Sentient
Sentient is an AI platform company with special focus on digital marketing, ecommerce and finance trading applications.
  • Sentient is using GPU deep learning in its commercially available ecommerce, digital marketing and financial trading applications. Studio.ml is a new project designed to make AI development easier by hiding most of the complexity. Studio. ml runs on-premise and in the cloud.
N/A
SpaceKnow PaaS
SpaceKnow
PaaS for deep learning extraction of satellite data information, targeted at Financial Services and Defense Intelligence Can track macro/microeconomic activity by applying deep learning to satellite images.
  • Extracts economic activity from satellite images using deep learning
  • Can provide batch mode extraction
Multi-GPU Multi-Node
Tensorflow
Google
Google’s TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them.
  • TensorFlow is flexible, portable and performant creating an open standard for exchanging research ideas and putting machine learning in products
Multi-GPU Single Node
Theano
LISA Lab
Theano is a symbolic expression compiler that powers large-scale computationally intensive scientific investigations.
  • Abstract expression graphs for transparent GPU acceleration
Multi-GPU Single Node
Torch7
Open Source
Torch7 is an interactive development environment for machine learning and computer vision.
  • Computational back-ends for multicore GPUs.
Multi-GPU Single Node
UETorch
Facebook
It provides an embedded Torch environment within the powerful Unreal Engine 4. This allows one to have deep learning models directly interact with the game world, and paves way for powerful research. An example of doing AI Research using UETorch is for a neural network to learn physics and intuition about the real world.
  • Game interaction and physics, CUDAoptimized deep learning and neural networks
  • CuDNN supported
Multi-GPU Single Node
Visual Intelligence API
Deep Version
Deep Vision specializes in understanding visual content and getting the most value of data by applying visual recognition for enterprises.
  • Visual Intelligence API allows leader enterprises in verticals like e-commerce and online auctions, media and entertainment and retailers, to analyze content related with faces, brands and context tags to perform actions like: Curate and organize visual content Search and recommend visually Get insights and analytics visually
N/A