NVIDIA and Google Cloud Empower the Next Wave of AI Builders

NVIDIA and Google Cloud said their joint developer community has passed 100,000 members, adding JAX and Dynamo learning paths plus Gemma, Nemotron and SynthID resources.

Tuesday May 19, 2026 Source: nvidia.com
TL;DR — Quick Answer

NVIDIA and Google Cloud announced at Google I/O 2026 that their joint developer community has passed 100,000 members since launching a year earlier. New resources include a learning path for running JAX on NVIDIA GPUs, a codelab for inference optimization with NVIDIA Dynamo on GKE and monthly developer livestreams. The partnership also covers responsible AI, where NVIDIA has been the first industry partner to collaborate with Google DeepMind on SynthID watermarking for content generated by NVIDIA Cosmos world models.

Key Takeaways

NVIDIA and Google Cloud Empower the Next Wave of AI Builders — AI news article illustration

At Google I/O 2026, NVIDIA and Google Cloud said their joint developer community has grown past 100,000 members, roughly a year after launching. The community provides curated learning paths, hands-on labs and events for people building on the full-stack NVIDIA AI platform running on Google Cloud.

A Community of 100,000 Builders

Launched at Google I/O 2025, the community brings together developers, data scientists and machine learning engineers. NVIDIA says it has become a go-to hub for builders using accelerated tools, with production retrieval-augmented generation apps on GKE and observability for agent workloads among the common patterns.

New Learning Paths and Codelabs

Building With Gemma, Nemotron and Open Frameworks

Developers can accelerate data science with the NVIDIA cuDF library in Colab Enterprise or Dataproc, or deploy multi-agent applications by combining Google DeepMind’s Gemma 4 models, NVIDIA Nemotron open models and the Google Agent Development Kit on G4 VMs powered by RTX PRO 6000 Blackwell GPUs. NVIDIA Dynamo on GKE helps optimize large-scale and mixture-of-experts inference.

Responsible AI With SynthID and Cosmos

NVIDIA was the first industry partner to collaborate with Google DeepMind on SynthID, a watermarking technology that embeds robust digital marks into AI-generated content. Cosmos world models provide 3D perception and simulation for robots and physical AI systems, while SynthID adds content transparency for the imagery and video they generate.

From Prototype to Production

The collaboration extends to AI Hypercomputer, where the MaxText framework uses JAX optimizations to train large models on NVIDIA GPUs, and to Vera Rubin-powered A5X instances. Google Cloud and NVIDIA say the same stack is used by labs and enterprises including OpenAI, Thinking Machine Labs, Salesforce, Snap and Crowdstrike.

Frequently Asked Questions

What is the NVIDIA and Google Cloud developer community?

It is a joint community launched at Google I/O 2025 that offers curated learning paths, hands-on labs and events for developers, data scientists and machine learning engineers building on NVIDIA and Google Cloud technologies.

How many developers have joined?

NVIDIA and Google Cloud said the community has surpassed 100,000 members, roughly one year after it launched.

What new resources were announced?

A learning path for running and scaling JAX on NVIDIA GPUs, a new codelab for NVIDIA Dynamo inference optimization on GKE, and monthly developer livestreams.

How does SynthID fit in?

NVIDIA was the first industry partner to collaborate with Google DeepMind on SynthID, which embeds digital watermarks into AI-generated content, helping preserve transparency for imagery and video produced by NVIDIA Cosmos world models.

This article is based on the official announcement from nvidia.com . Read the original for full technical details.

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