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Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA® Data Center GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to Deep Learning. NVIDIA’s accelerators also deliver the horsepower needed to run bigger simulations faster than ever before. Plus, NVIDIA GPUs deliver the highest performance and user density for virtual desktops, applications and workstations.
Prevent diseases. Creating smart cities. Reinventing analytics. These are just a few examples of the diverse applications of AI and Deep Learning in particular. Until recently, Deep Learning existed only in theory. Then teams around the world started using NVIDIA GPUs. Today, organisations are already leading ambitious projects to success thanks to Deep Learning.
With the introduction of RAPIDS, data science and machine learning workflows on NVIDIA GPUs can now be consistently accelerated to minutes instead of days. Learn more about NVIDIA's accelerated data science solutions
combines the performance power of NVIDIA Ampere architecture with the enhanced security and lower latency of NVIDIA Mellanox ConnectX-6 DX SmartNIC, enabling more secure real-time AI processing at the periphery.
HGX A100 enables standardised high-performance servers that deliver predictable performance across multiple application workloads while enabling faster time-to-market for NVIDIA's partner server vendor ecosystem
NVIDIA DGX Station is your personal AI supercomputer that lets you benefit from DL too. DGX Station offers a fast-paced plug-in, power-up and deployment experience that is simple and intuitive, with an integrated hardware and software solution that gives you more time to evaluate insights.
NVIDIA partners offer a wide array of cutting-edge servers capable of diverse AI, HPC, and accelerated computing workloads. To promote the optimal server for each workload, NVIDIA has introduced GPU-accelerated server platforms, which recommends ideal classes of servers for various Training (HGX-T), Inference (HGX-I), and Supercomputing (SCX) applications.
Platforms align the entire data center server ecosystem and ensure that, when a customer selects a specific server platform that matches their accelerated computing application, they’ll achieve the industry’s best performance.
The NVIDIA AI Enterprise software suite is an end-to-end cloud-native suite of AI tools and frameworks, optimized, certified, and supported by NVIDIA to run on the VMWare vSphere with NVIDIA-Certified Systems using NVIDIA data center GPUs. With it, every enterprise can accelerated computing for AI on mainstream systems.
ACCELERATING DATA CENTER WORKLOADS WITH NVIDIA DATA CENTER PLATFORM
Training increasingly complex models faster is key to improving productivity for data scientists and delivering AI services more quickly. Servers powered by NVIDIA® GPUs use the performance of accelerated computing to cut deep learning training time from months to hours or minutes.
Inference is where a trained neural network really goes to work. As new data points come in such as images, speech, visual and video search, inference is what gives the answers and recommendations at the heart of many AI services. A server with a single GPU can deliver 27X higher inference throughput than a single-socket CPU-only server resulting in dramatic cost savings.
THE BRAIN OF INTELLIGENT MACHINES AND THE IOT
Deep Learning and affordable sensors have set the stage for an explosion in the number of autonomous machines - the IoT with AI - comparable to the Cambrian Explosion in evolutionary history. The NVIDIA Jetson TX2 embedded AI supercomputer offers 1 teraFLOPS of performance on a credit card-sized module. Such performance will enable a new wave of automation in manufacturing, drones to inspect hazardous environments, and robots to deliver millions of packages day after day.
HIGH PERFORMANCE COMPUTING
HPC data centers need to support the ever-growing computing demands of scientists and researchers while staying within a tight budget. The old approach of deploying lots of commodity compute nodes substantially increases costs without proportionally increasing data center performance.
With over 700 HPC applications accelerated—including all of the top 15 —all HPC customers can now get a dramatic throughput boost for their workloads, while also saving money.
VIRTUALIZE ANY WORKLOAD
The enterprise is transforming. Workflows are evolving and companies are needing to run high-end simulations and visualizations alongside modern business apps for all users and on any device.
With NVIDIA virtual GPU solutions and NVIDIA Data Center GPUs, IT organizations can virtualize graphics and compute, easily allocate resources for any workload, and gain the greatest user density for their VDI investment.