NVIDIA and Google Cloud announced that more than 100,000 developers have joined their joint developer community to build AI applications using NVIDIA AI technologies on Google Cloud during this year’s Google I/O. (19/05)

The developer community was launched during Google I/O last year to support developers, data scientists, and machine learning engineers through curated learning paths, hands-on labs, and technical events.

According to the companies, new additions this year include a learning path for using the JAX library on NVIDIA GPUs, a new NVIDIA Dynamo codelab focused on inference optimization, and monthly livestreams for developers.

New AI Learning Resources Focus on JAX and NVIDIA Dynamo

NVIDIA and Google Cloud stated that the developer community has become a hub for developers building AI workloads with NVIDIA-accelerated tools for machine learning and data science.

The companies said developers have created retrieval-augmented generation applications on Google Kubernetes Engine and implemented observability systems for AI agent workloads.

Developers are also experimenting with large language model research and hybrid inference systems that combine on-premises and cloud infrastructure for use cases including sports analytics and enterprise data pipelines.

To support these projects, NVIDIA and Google Cloud are providing learning resources and hands-on labs that combine NVIDIA libraries, open models, and Google Cloud AI infrastructure.

Developers Build AI Applications Using NVIDIA and Google Cloud Infrastructure

The companies said developers can accelerate analytics workloads using the NVIDIA cuDF library in Google Colab Enterprise or Dataproc.

Developers can also deploy multi-agent applications by combining Google DeepMind Gemma 4 models, NVIDIA Nemotron open models, and the Google Agent Development Kit with Google Cloud G4 virtual machines powered by NVIDIA RTX PRO 6000 Blackwell GPUs.

NVIDIA and Google Cloud stated they are also working together on open frameworks such as JAX to help developers build, scale, and deploy JAX workloads on NVIDIA AI infrastructure running on Google Cloud.

The companies added that this work also extends to Google Cloud AI Hypercomputer, where the MaxText framework uses JAX optimizations to train large AI models on NVIDIA GPUs.

NVIDIA Dynamo on Google Kubernetes Engine is also being used to optimize large-scale inference workloads, including mixture-of-experts models, according to the companies.

NVIDIA and Google Cloud said a new learning path for running and scaling JAX on NVIDIA GPUs and a new NVIDIA Dynamo inference codelab on GKE will become available next month for community members.

NVIDIA and Google DeepMind Expand Responsible AI Efforts

NVIDIA and Google DeepMind are also working together on responsible AI development through SynthID and NVIDIA Cosmos.

According to the companies, AI agents are increasingly built using combinations of proprietary and open-source AI models that can reason, plan, and act for users.

NVIDIA stated it became the first industry partner to collaborate with Google DeepMind on SynthID, an AI watermarking technology that embeds digital watermarks into AI-generated content.

The companies said SynthID is helping preserve the integrity of outputs generated by NVIDIA Cosmos world foundation models available on build.nvidia.com.

NVIDIA stated Cosmos models provide 3D perception and simulation capabilities for robots, autonomous machines, and other physical AI systems, while SynthID supports transparency for AI-generated imagery and video.

NVIDIA and Google Cloud Support Enterprise AI Deployment

NVIDIA and Google Cloud stated that developers using their joint platform can scale projects from prototype stages to enterprise-grade workloads using the same infrastructure and software foundation.

At Google Cloud Next, the companies expanded their collaboration to support the training, deployment, and operationalization of AI agents on Google Cloud.

The collaboration includes work involving NVIDIA Vera Rubin-powered A5X instances and Google DeepMind Gemini models, according to the companies.

NVIDIA and Google Cloud stated that the platform is being used by organizations including OpenAI, Salesforce, Snap, and CrowdStrike.

PHOTO: NVIDIA

This article was created with AI assistance.

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