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A New Generation Of Consumer Internet

Stream. Search. Shop. Ship.

Today’s consumers have the world at their fingertips. The boom in online users has made the consumer internet industry one of the largest users of machine learning, deep learning, and data science. From recommenders to smart chatbots, these capabilities rely on fast, intelligent tools and infrastructure. That’s why leading companies are using NVIDIA solutions to harness their wealth of data to pioneer products that shape the online experience.

Streamline AI Models

In response to the explosion of different AI models and the resulting network complexity, NVIDIA’s GPU-based SDKs centralize deep learning and machine learning modeling, training, and inference.

Tackle Massive Datasets

Datasets aren’t just increasing at a massive pace. They’re also evolving into different formats with varying quality, making GPU-accelerated data science platforms critical to tackling modern processing workloads.

Faster Deployments

Scaling infrastructure monitoring, management, and software deployments can be challenging. With NVIDIA GPUs, engineers can build technical infrastructure and pipelines to support data.

Power Smarter User Experiences for
Your Business

Media Streaming
Social Media
eCommerce
Delivery Services

Media Streaming

From customized user interfaces to expertly recommended content and automated video production, NVIDIA GPU platforms help elevate the audience experience. Data scientists and engineers can better understand viewer behavior and predict success through GPU-powered, real-time data analysis.

Learn how Netflix builds a proof-of-concept AI model

Social Media

Social media platforms allow for personalization and sharing at a large scale. Advanced machine learning serves targeted advertising, job, and product recommendations, suggests people you might like to connect with, and curates specific posts in your feed.

Browse "GPU-Powered Smarter, Faster Visual Search"

eCommerce

From AI chatbots to smart assistants, NVIDIA GPU platform power natural language processing and conversational AI for a seamless and tailor-made shopping experience. And cybersecurity analysts can use GPU technology to predict and prevent fraudulent online transactions.

Discover how Square sped up inference jobs on average-size models by 2X

Delivery Services

With the help of GPU-powered AI and robotics, delivery services can leverage algorithms and collect and analyze mapping and geolocation data to provide the most efficient and automated transport.

Learn how GPUs netted DoorDash a 10X speedup in recommender system training

NVIDIA Solutions for Tailored Consumer Applications

Conversational AI with NVIDIA Jarvis

NVIDIA Jarvis is a GPU-accelerated application framework for building multimodal conversational AI services that deliver real-time performance. Jarvis includes pre-trained conversational AI models, tools in the NVIDIA AI Toolkit, and optimized end-to-end services like messaging apps, speech-based assistants, and chatbots for automating communication and creating personalized customer experiences at scale.

It combines vision, audio, and other sensory capabilities to power call center assistants and other virtual assistants.

Learn More About Natural Language Processing with GPUs

Recommender Systems with NVIDIA Merlin

NVIDIA Merlin is a framework for building high-performance, deep learning-based recommender systems. From personalized media thumbnails to tailored movie and TV show recommendations optimized end-to-end services like messaging apps,, Merlin includes tools that provide better predictions of user preference and behavior than traditional methods to increase engagement rates.

Learn How to Build a Recommender Engine

Accelerated Data Science with RAPIDS

Data science can deliver faster time to business insight, including in areas like consumer behavior and predictive analytics. NVIDIA-accelerated data science, built on NVIDIA^® CUDA-X A^I™ and featuring NVIDIA RAPIDS^™ data processing and machine learning libraries, provides GPU-accelerated software for data science workflows that maximize productivity, performance, and ROI.

Learn More About Open Source Data Science Application

Discover how RAPIDS Accelerates Apache Spark 3X

NGC Catalog: GPU-Optimized Software

The NGC catalog is a registry of GPU-optimized software for AI and HPC applications, pre-trained models, AI application frameworks, and helm charts. The enterprise-ready software from the NGC catalog helps data engineers, data scientists, researchers, developers, DevOps, and system admins shorten time to solution and bring solutions faster to market.

Learn More About NGC

Universal AI Workloads with NVIDIA DGX

The growth of AI-assisted services within the consumer internet industry is impeded by an explosion of complex AI models, increased datasets, and cumbersome deployment and management workflows. These challenges result in slow computing architectures and high costs. NVIDIA DGX™ A100 provides IT directors, data scientists, and data engineers 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 leveraged across the world and on multiple platforms. NVIDIA’s GPU-accelerated solutions are available through all top cloud platforms, empowering companies to scale and access massive computing power on demand and with ease. The NVIDIA T4 Tensor Core GPU speeds up 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