At this 12 months’s Google I/O convention, NVIDIA and Google Cloud are accelerating the work of greater than 100,000 builders in the firms’ joint developer group, which offers curated studying paths, hands-on labs and occasions that assist them construct utilizing the full-stack NVIDIA AI platform on Google Cloud.
Launched at Google I/O final 12 months, the group brings collectively builders, information scientists and machine studying engineers who need to sharpen their AI abilities on the newest NVIDIA and Google Cloud applied sciences.
New additions for the group are rolling out this 12 months, together with a studying path for utilizing the JAX library on NVIDIA GPUs, a brand new NVIDIA Dynamo codelab targeted on inference optimizations, in addition to month-to-month developer livestreams.
Over the final 12 months, the group has change into a go‑to hub for AI builders utilizing NVIDIA‑accelerated instruments for information science and machine studying. The consequence has been manufacturing‑prepared retrieval-augmented era functions on Google Kubernetes Engine (GKE) and instrumenting observability for agent workloads.
These AI builders are additionally experimenting with new giant language mannequin analysis and prototyping hybrid on‑premises and cloud inference for actual‑world use instances like sports activities analytics and enterprise information pipelines.
Constructing With Google DeepMind’s Gemma, NVIDIA Nemotron and Open Frameworks
NVIDIA and Google Cloud are equipping builders with studying assets and hands-on labs that mix NVIDIA libraries, open fashions and instruments with Google Cloud’s AI platform — to allow them to construct optimized, manufacturing‑prepared AI functions sooner.
For instance, builders can speed up information science and analytics with the NVIDIA cuDF library in Google Colab Enterprise or Dataproc, or deploy multi-agent functions by combining Google DeepMind’s Gemma 4 fashions, NVIDIA Nemotron open fashions and Google Agent Growth Equipment with Google Cloud G4 VMs powered by NVIDIA RTX PRO 6000 Blackwell GPUs in Google Cloud Run or with spot situations.
NVIDIA and Google Cloud work carefully throughout open frameworks like JAX so builders can construct, scale and productize JAX workloads on NVIDIA AI infrastructure on Google Cloud — from single‑GPU experiments to multi‑rack deployments — whereas getting sturdy efficiency and a constant expertise.
This work extends to Google Cloud AI Hypercomputer, the place the MaxText framework makes use of these JAX optimizations to coach giant fashions effectively on NVIDIA GPUs.
Constructing on the similar basis, NVIDIA Dynamo on GKE helps builders optimize large-scale inference — together with mixture-of-experts fashions — to allow them to serve AI functions extra effectively with NVIDIA accelerated infrastructure on Google Cloud.
To assist builders get hands-on with these capabilities, a brand new studying path on working and scaling JAX on NVIDIA GPUs and a brand new NVIDIA Dynamo on GKE inference codelab will change into accessible subsequent month for members in the Google Cloud and NVIDIA developer group.
Advancing Accountable AI With Google DeepMind’s SynthID and NVIDIA Cosmos
AI brokers are more and more constructed from a system of AI fashions — combining proprietary and open supply fashions that motive, plan and act on customers’ behalf.
Amid this shift, belief and transparency are foundational, so builders and organizations can perceive how these techniques work and what they generate.
NVIDIA was the first trade companion to collaborate with Google DeepMind on SynthID, an AI watermarking expertise that embeds strong digital watermarks straight into AI‑generated content material, which helps protect the integrity of outputs from NVIDIA Cosmos world basis fashions accessible on construct.nvidia.com.
Cosmos fashions present wealthy 3D notion and simulation capabilities for robots, autonomous machines and different bodily AI techniques, whereas SynthID brings content material transparency to the imagery and video they depend on.
Collectively, they assist protect the integrity of AI‑generated content material so builders can construct and deploy agentic functions extra responsibly throughout cloud, edge and actual‑world environments.
Constructing on a Full-Stack NVIDIA and Google Cloud Platform
This 12 months, Google I/O is placing the highlight on new agentic experiences and instruments for builders — and NVIDIA and Google Cloud are targeted on making certain builders have the infrastructure, software program and studying assets they should make the most of them.
For builders in the group constructing on NVIDIA and Google Cloud, the abilities and instruments they be taught can scale, effortlessly taking tasks from prototype to enterprise‑grade workloads.
At Google Cloud Next, Google Cloud and NVIDIA expanded their full‑stack platform to assist builders prepare, deploy and operationalize brokers on Google Cloud. This collaboration consists of work on NVIDIA Vera Rubin-powered A5X situations, Google DeepMind Gemini fashions and extra, and is being harnessed by main AI labs and enterprises together with OpenAI, Considering Machine Labs, Schrodinger, Salesforce, Snap and Crowdstrike. Be taught extra in this weblog.
Be a part of the NVIDIA and Google Cloud developer group to attach with different builders and keep updated on new instruments, developer occasions and applications.
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