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WHEN THE SHOE PINCHES - WE FIND THE RIGHT FIT FOR YOU!

STREAM. SEARCH. BUY. SEND.

For today's consumers, the world is just a click away. The boom in online users has made the consumer internet industry one of the biggest adopters of machine learning, deep learning and data science. From recommendation services to intelligent chatbots to AI-optimised video conferencing, these capabilities require tools and infrastructure to be fast and smart. That's why leading companies are using NVIDIA solutions to leverage their data sets and deliver breakthrough products that shape the online experience.

OPTIMISE KI MODELS​​​​​​​
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In response to the explosion of different AI models and the resulting network complexity, NVIDIA's GPU-based SDKs centralise Deep Learning and Machine Learning modelling, training and inference.

DEALING WITH ENORMOUS
HANDLE DATASETS

Data sets are not only growing faster and faster. They are also evolving into different formats with different quality, making GPU-accelerated data science a critical factor for handling modern processing workloads.

FASTER DEPLOYMENTS
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Scaling infrastructure monitoring, management and software deployments can be challenging. With NVIDIA GPUs, engineers can develop technical infrastructure and pipelines to support data.
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PROMOTING SMARTER USER EXPERIENCES FOR THE BUSINESS

MEDIA-STREAMING

From customised user interfaces to expert content and automated video production, NVIDIA GPUs help enhance the audience experience. Data scientists and engineers can improve viewer behaviour and predict success through real-time GPU-powered data analytics.

social media

With social media platforms, personalisation and sharing is possible on a large scale. Advanced machine learning is used to offer targeted advertising, job and product recommendations, suggest people who may be of interest to you, and curate specific posts in your feed.

E Commerce

From AI chatbots to intelligent assistants: NVIDIA GPUs enable natural language processing and conversational AI for a seamless and tailored shopping experience. Cybersecurity analysts can also use GPU technology to predict and prevent fraudulent online transactions.

DELIVERY SERVICES

Using GPU-based AI and robotics, delivery services can capture and analyse map and location data with algorithms to provide the most efficient and automated transport route.

VIDEOCONFERENCING

Video conferencing providers can significantly improve streaming quality and offer advanced AI features such as ultra-high resolution, gaze correction and live captioning thanks to a range of GPU AI-powered tools.

NVIDIA SOLUTIONS FOR CUSTOMISED CONSUMER APPLICATIONS

KI IN DIALOGUE WITH NVIDIA JARVIS

NVIDIA Jarvis is a GPU-accelerated application framework for developing multimodal conversational AI services that deliver real-time performance. Jarvis includes pre-trained AI models, tools in the NVIDIA AI Toolkit, and optimised end-to-end services such as messaging apps, voice-based assistants and chatbots to automate communications and create personalised customer experiences at scale.

It combines visual, audio and other sensory capabilities to power call centre assistants and other virtual assistants.

RECOMMENDATION SYSTEMS WITH NVIDIA MERLIN

NVIDIA Merlin is a framework for building high-performance, deep-learning-based recommendation systems. From personalised thumbnails to tailored recommendations for movies and TV shows to optimised end-to-end services such as messaging services, Merlin includes tools that provide better predictions of user preferences and behaviour than traditional methods for increasing interaction rates.

ACCELERATED DATA SCIENCE WITH RAPIDS

Data Science can lead to business insights faster, including in areas such as consumer behaviour and predictive analytics. NVIDIA Accelerated Data Science, based on NVIDIA® CUDA-X AI™ and powered by NVIDIA RAPIDS™ data processing and machine learning libraries, provides GPU-accelerated software for data science workflows that maximise productivity, performance and ROI.
Learn more about Open Source Data Science applications
Discover how RAPIDS accelerates Apache Spark 3X 

KI-SUPPORTED VIDEO CONFERENCING WITH NVIDIA MAXINE

Mit dem NVIDIA Maxine™ AI Platform SDK können Anbieter von Videokonferenzen die Streaming-Qualität in der Cloud mit Superauflösung, Blickkorrektur, Live-Untertiteln und vielem mehr erheblich verbessern. Neben der Reduzierung der Videobandbreite bietet die vollständig beschleunigte Maxine-Plattform innovative Funktionen wie Gesichtsausrichtung, Rauschentfernung und virtuelle Assistenten.
Erfahren Sie mehr über NVIDIA Maxine

NGC-Katalog: GPU-optimierte Software

Der NGC-Katalog ist ein Verzeichnis von GPU-optimierter Software für KI- und HPC-Anwendungen, vortrainierten Modellen, KI-Anwendungs-Frameworks und Helmdiagrammen. Die unternehmenstaugliche Software aus dem NGC-Katalog hilft Dateningenieuren, Datenwissenschaftlern, Forschern, Entwicklern, DevOps und Systemadministratoren, die Zeit bis zur Lösung zu verkürzen und Lösungen schneller auf den Markt zu bringen.
Erfahren Sie mehr über NGC

Universelle KI-Workloads mit NVIDIA DGX

The growth of AI-powered services in the consumer internet industry is hampered by an explosion of complex AI models, larger data sets and cumbersome deployment and management processes. These challenges result in slow computing architectures and high costs. NVIDIA DGX™ A100 provides IT directors, data scientists and data engineers with a platform that can unify all AI workloads, simplify infrastructure and accelerate ROI.
Learn more about NVIDIA DGX

GPU CLOUD COMPUTING

Consumer internet services are used globally and across multiple platforms. NVIDIA's GPU-accelerated solutions are available across all leading cloud platforms, enabling businesses to easily scale and access massive computing power on demand. The NVIDIA T4 Tensor Core GPU accelerates cloud workloads, including high-performance computing, deep learning training and inference, machine learning, data analytics and graphics. It enables businesses to create new customer experiences that help make services more accessible and scalable.
Learn more about cloud computing on GPUs