The collaboration between AWS and NVIDIA is significant for several reasons. First, it introduces the NVIDIA Grace Blackwell GPU platform to AWS, offering powerful new capabilities for generative AI. This includes the GB200 Grace Blackwell Superchip and B100 Tensor Core GPUs, which can accelerate the building and running of inference on large language models (LLMs) with trillions of parameters. This means that researchers and developers can now access cutting-edge AI infrastructure and software on AWS, enabling them to create and deploy advanced AI models more efficiently and cost-effectively.
Second, the integration of AWS Nitro System, Elastic Fabric Adapter (EFA) encryption, and AWS Key Management Service (KMS) with Blackwell encryption enhances the security of AI applications. Customers can now have greater control over their training data and model weights, ensuring that sensitive information is protected throughout the AI workflow.
Furthermore, Project Ceiba, an AI supercomputer built exclusively on AWS with DGX Cloud, represents a significant step forward in AI research and development. With 20,736 GB200 Superchips capable of processing 414 exaflops, Ceiba will enable NVIDIA to advance its AI capabilities across a wide range of applications, including graphics, simulation, robotics, and more.
Overall, the collaboration between AWS and NVIDIA is driving AI innovation forward, providing researchers and developers with the tools and infrastructure they need to push the boundaries of what is possible in AI.
