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NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI

NVIDIA and Google Cloud just unified their entire stack for agentic AI — removing the last friction point between lab and production.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

A decade-long co-engineering effort culminates in a production-ready full-stack platform for agentic and physical AI, lowering deployment barriers for enterprises and startups at scale.

The key facts

9 to know
  1. 10+ year NVIDIA-Google Cloud collaboration

  2. Full-stack AI platform spanning performance libraries, frameworks, and enterprise cloud services

  3. Focus on moving agentic and physical AI from lab to production

  4. Target audience: developers, startups, enterprises

  5. Published: April 22, 2026

  6. Full-stack AI platform spanning libraries, frameworks, and cloud services

  7. Focus on productionizing agentic AI (moving from lab to production)

  8. Physical AI applications included in scope

  9. Enterprise-grade deployment capabilities emphasized

Go to the source

NVIDIA Blogblogs.nvidia.com

Publisher excerpt: NVIDIA and Google Cloud have collaborated for more than a decade, co‑engineering a full‑stack AI platform that spans every technology layer — from performance‑optimized libraries and frameworks to enterprise‑grade cloud services. This foundation enables developers, startups and enterprises to push…
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