AWS and NVIDIA Expand Partnership, Boosting AI Capabilities with Additional GPUs

A major expansion of their long-standing partnership has been announced by Amazon Web Services (AWS) and NVIDIA. The two tech giants are committing to deploy an additional 2 million NVIDIA graphics processing units (GPUs) across AWS’s global infrastructure by 2028, significantly boosting the capabilities for machine learning jobs and AI development.

The move marks a significant milestone in the companies’ 16-year collaboration, which has already led to numerous innovations in the field of artificial intelligence. The partnership extends beyond just GPUs, with NVIDIA Vera CPUs being integrated into AWS’s platform as well. This will provide customers with a new compute option specifically designed for agentic AI workloads.

The massive influx of hardware signals a new phase in the race to build more powerful AI capabilities. To achieve this goal, the two companies are deepening their work across various areas, including AI factories, CPUs, networking, and robotics. Their aim is to deliver co-engineered solutions that can accelerate AI development at an unprecedented scale.

The deployment of 2 million additional NVIDIA GPUs will be a crucial factor in achieving this goal. This move complements Amazon’s existing custom silicon efforts, offering customers a wider choice for their AI workloads. Whether it’s NVIDIA’s specialized hardware or AWS’s Trainium chips, users can now select the best option to suit their needs.

The partnership also includes deploying 100,000 NVIDIA GPUs on secure AWS infrastructure specifically designed for federal and national security workloads classified at Impact Level 6 (IL6) and above. This initiative addresses global demand and competition in AI development, ensuring that sensitive information is handled securely.

By expanding their collaboration, AWS and NVIDIA are taking a significant step forward in the field of artificial intelligence. Their commitment to delivering co-engineered solutions will undoubtedly accelerate AI development at an unprecedented scale. As the companies continue to push the boundaries of what’s possible with AI, it remains to be seen how this partnership will shape the future of machine learning jobs and beyond.