AWS and NVIDIA

For data scientists, researchers, and developers who need to speed up ML training, Amazon EC2 P4d instances deliver the highest performance for ML training in the cloud. P4d instances are powered by the latest NVIDIA A100 Tensor Core GPUs and deliver industry-leading high throughput and low latency networking. In addition, for more customized ML training, previous generation Amazon EC2 P3 instances offer several instance sizes and can deliver up to one petaflop of mixed-precision performance per instance with up to 8 NVIDIA V100 Tensor Core GPUs. Complementing P4d and P3 instances, for ML inference, Amazon EC2 G4 instances featuring NVIDIA T4 Tensor Core GPUs deliver the most cost-effective GPU instances in the cloud for ML inference.

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Virtual workstations on AWS enable studios to take on bigger projects, work from anywhere, and pay only for what they need. Running on Amazon EC2 G4 instances powered by NVIDIA T4 Tensor Core GPUs, virtual workstations employ the power of NVIDIA Quadro technology, the visual computing platform trusted by creative and technical professionals.

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Amazon EC2 P4d instances powered by NVIDIA A100 Tensor Core GPUs are an ideal platform to run engineering simulations, computational finance, seismic analysis, molecular modeling, genomics, rendering, and other GPU compute workloads. High performance computing (HPC) allows scientists and engineers to solve these complex, compute-intensive problems. HPC applications often require high network performance, fast storage, large amounts of memory, high compute capabilities, or all of the above. AWS enables customers to increase the speed of research and reduce time-to-results by running HPC in the cloud and scaling to larger numbers of parallel tasks than would be practical in most on-premises environments.

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AWS IoT Greengrass seamlessly extends AWS to edge devices such as NVIDIA Jetson devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With AWS IoT Greengrass, NVIDIA Jetson devices can run AWS Lambda functions, Docker containers, or both; execute predictions based on ML models; keep device data in sync; and communicate with other devices securely – even when not connected to the Internet.

Learn about how to integrate NVIDIA DeepStream on Jetson Modules with AWS IoT Core and AWS IoT Greengrass.

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AWS is the trusted technology partner for the global healthcare and life sciences industry. As the most mature and reliable cloud platform AWS provides the security and privacy to operate in a highly regulated industry. AWS and NVIDIA deliver solutions such as machine learning services that enable healthcare providers to deliver better patient outcomes.

Example customers: Subtle Medical and Mathworks

AWS provides financial services institutions across banking, payments, capital markets, and insurance with secure, resilient global cloud infrastructure and services they need to differentiate themselves today and adapt to the needs of tomorrow. AWS and NVIDIA provide solutions that help financial services companies customize the user experience and provide a secure environment for their transactions.

Example customers: Nerdwallet and Pathwise

Media and entertainment customers face industry-wide transformation, with companies reinventing how they create content, optimize media supply chains, and compete for audience attention across streaming, broadcast, and direct-to-consumer platforms. AWS and NVIDIA provide solutions to assist customers across all aspects of content development.

Example customers: Untold Studios, Hyperconnect, Hive VFX, Snap, and Sway

AWS is powering the future of telecommunications. Leading communications service providers run more workloads on AWS than any other cloud provider. AWS and NVIDIA provide solutions across a broad range of areas ranging from delivering maintenance solutions to providing GPU processing power at the Edge with AWS Outposts and AWS Wavelength.

Example customers: NTT Docomo

Connected, autonomous, shared, and electric vehicle trends are converging to revolutionize the automotive industry. AWS and NVIDIA provide a broad set of capabilities, including AI/ML, IoT, HPC, and data analytics with a relentless pace of innovation.