AI BriefingNVIDIA and Google Cloud Support Next-Generation AI Developers
Key point
NVIDIA and Google Cloud have expanded their joint developer community to over 100,000 members along with JAX and Dynamo resources.
Details
At Google I/O, NVIDIA and Google Cloud announced that their joint developer community has grown to over 100,000 members. This community provides learning paths, hands-on labs, and events on how to leverage the NVIDIA AI platform on Google Cloud.
This year, the following items are being added:
- A JAX learning path for NVIDIA GPUs
- An NVIDIA Dynamo on GKE inference optimization codelab
- Monthly developer livestreams
NVIDIA and Google Cloud are helping scale JAX workloads from single-GPU experiments to multi-rack deployments. Developers can combine Google DeepMind's Gemma 4, NVIDIA Nemotron, and the Google Agent Development Kit to build multi-agent apps and run them on G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell GPUs or on Cloud Run. cuDF accelerates data science and analytics on Colab Enterprise and Dataproc, and MaxText on Google Cloud AI Hypercomputer helps train large models with JAX optimizations.
On the responsible AI front, SynthID and NVIDIA Cosmos have been combined to strengthen watermarking and transparency for generated content. Over the past year, the community has moved RAG applications on GKE to production-grade operation, and expanded into hybrid inference experiments such as sports analytics and enterprise data pipelines. At Google Cloud Next, A5X instances based on NVIDIA Vera Rubin and Gemini models were added, and organizations such as OpenAI, Thinking Machine Labs, Schrodinger, Salesforce, Snap, and Crowdstrike are also leveraging this full stack.
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