NVIDIA and AWS Expand Partnership with New Integrations

Thank you Matt Garman for highlighting NVIDIA Nemotron open models integration with Amazon Bedrock in today's AWS re:Invent keynote. An exciting step for deploying AI agents for text, code, image and video tasks at production scale.

A powerful combination. NVIDIA’s compute leadership and AWS’s cloud scale create a foundation that many next-generation AI applications will rely on. This kind of ecosystem collaboration is becoming essential in the global AI race

Exciting developments here with the NVIDIA-AWS partnership! The integration of NVLink Fusion for Tranium4 AI chips and the expansion of Blackwell Ultra and RTX PRO 6000 cloud instances will certainly reshape the landscape of AI and cloud computing. It’s incredible to see how technologies like Amazon Bedrock and NVIDIA’s Cosmos modelsare pushing boundaries and accelerating AI innovation. Looking forward to seeing how this will impact real-world applications. AI’s evolving role in cloud infrastructure is truly transformative.

This integration of NVLink Fusion with Trainium4 is a massive leap for compute density. Especially excited about NVIDIA Cosmos. Bringing 'World Models' to the cloud means we need data infrastructure that can handle 'Physical AI' speed—low latency and high granularity are non-negotiable when AI starts interacting with the real world. Great to see the hardware stack evolving this fast. Now the data layer must keep up!

NVIDIA and AWS leveled up their partnership at re:Invent 2025, integrating NVLink Fusion into Trainium4 chips and Graviton CPUs for turbocharged AI scaling. Nemotron models hit Bedrock for easy gen AI apps, while sovereign AI Factories deliver secure Blackwell power worldwide. It’s a game-changer for cloud AI innovation—faster, simpler, global

When AWS and NVIDIA fuse this kind of power end to end, it creates a talent battleground where only the boldest builders thrive. The ripple effect is already clear across the market, and the winners will be those who know how to turn this stack into meaningful innovation.

Strong collaboration deeper NVIDIA–AWS integration across chips, models, and cloud infrastructure will significantly accelerate enterprise AI adoption. Exciting to see the ecosystem becoming more unified and powerful

Great move by NVIDIA and AWS! These kinds of integrated, partner-driven innovations are exactly what enable marketers to build compelling value propositions and scalable GTM programs. These integrations should open up huge opportunities for teams driving next gen cloud and AI experiences.

These integrations underscore NVIDIA and AWS's commitment to providing cutting-edge AI and cloud solutions that address the growing demand for high-performance computing. With these advancements, customers will benefit from faster AI training, more powerful compute resources, and seamless model deployment, all driving the future of AI innovation

This collaboration signals a shift beyond isolated GPU clouds — combining NVIDIA NVLink Fusion with AWS’s data‑center scale will enable truly rack‑scale AI infrastructure. For workloads requiring massive parallelism or large‑model training, that means fewer bottlenecks between compute, memory and interconnect. From your perspective, which aspects (memory share, interconnect throughput, or flexibility) will matter most for enterprise‑scale AI deployments?