NVIDIA and Google share a long-standing relationship rooted in advancing AI innovation and empowering the worldwide developer neighborhood. This partnership goes past infrastructure, encompassing deep engineering collaboration to optimize the computing stack.
The most recent improvements stemming from this partnership embody vital contributions to neighborhood software program efforts like JAX, OpenXLA, MaxText and llm-d. These foundational optimizations straight help serving of Google’s cutting-edge Gemini fashions and Gemma household of open fashions.
Moreover, performance-optimized NVIDIA AI software program like NVIDIA NeMo, NVIDIA TensorRT-LLM, NVIDIA Dynamo and NVIDIA NIM microservices are tightly built-in throughout Google Cloud, together with Vertex AI, Google Kubernetes Engine (GKE) and Cloud Run, to speed up efficiency and simplify AI deployments.
NVIDIA Blackwell in Manufacturing on Google Cloud
Google Cloud was the primary cloud service supplier to supply each NVIDIA HGX B200 and NVIDIA GB200 NVL72 with its A4 and A4X digital machines (VMs).
These new VMs with Google Cloud’s AI Hypercomputer structure are accessible by managed providers like Vertex AI and GKE, enabling organizations to decide on the appropriate path to develop and deploy agentic AI purposes at scale. Google Cloud’s A4 VMs, accelerated by NVIDIA HGX B200, at the moment are typically out there.
Google Cloud’s A4X VMs ship over one exaflop of compute per rack and help seamless scaling to tens of 1000’s of GPUs, enabled by Google’s Jupiter community cloth and superior networking with NVIDIA ConnectX-7 NICs. Google’s third-generation liquid cooling infrastructure delivers sustained, environment friendly efficiency even for the biggest AI workloads.
Google Gemini Can Now Be Deployed On-Premises With NVIDIA Blackwell on Google Distributed Cloud
Gemini’s superior reasoning capabilities are already powering cloud-based agentic AI purposes — nonetheless, some clients in public sector, healthcare and monetary providers with strict knowledge residency, regulatory or safety necessities have but been unable to faucet into the know-how.
With NVIDIA Blackwell platforms coming to Google Distributed Cloud — Google Cloud’s totally managed answer for on-premises, air-gapped environments and edge — organizations will now have the ability to deploy Gemini fashions securely inside their very own knowledge facilities, unlocking agentic AI for these clients
NVIDIA Blackwell’s distinctive mixture of breakthrough efficiency and confidential computing capabilities makes this doable — guaranteeing that person prompts and fine-tuning knowledge stay protected. This permits clients to innovate with Gemini whereas sustaining full management over their info, assembly the very best requirements of privateness and compliance. Google Distributed Cloud expands the attain of Gemini, empowering extra organizations than ever to faucet into next-generation agentic AI.
Optimizing AI Inference Efficiency for Google Gemini and Gemma
Designed for the agentic period, the Gemini household of fashions symbolize Google’s most superior and versatile AI fashions up to now, excelling at advanced reasoning, coding and multimodal understanding.
NVIDIA and Google have labored on efficiency optimizations to make sure that Gemini-based inference workloads run effectively on NVIDIA GPUs, significantly inside Google Cloud’s Vertex AI platform. This permits Google to serve a major quantity of person queries for Gemini fashions on NVIDIA-accelerated infrastructure throughout Vertex AI and Google Distributed Cloud.
As well as, the Gemma household of light-weight, open fashions have been optimized for inference utilizing the NVIDIA TensorRT-LLM library and are anticipated to be supplied as easy-to-deploy NVIDIA NIM microservices. These optimizations maximize efficiency and make superior AI extra accessible to builders to run their workloads on varied deployment architectures throughout knowledge facilities to native NVIDIA RTX-powered PCs and workstations.
Constructing a Sturdy Developer Neighborhood and Ecosystem
NVIDIA and Google Cloud are additionally supporting the developer neighborhood by optimizing open-source frameworks like JAX for seamless scaling and breakthrough efficiency on Blackwell GPUs — enabling AI workloads to run effectively throughout tens of 1000’s of nodes.
The collaboration extends past know-how, with the launch of a brand new joint Google Cloud and NVIDIA developer neighborhood that brings specialists and friends collectively to speed up cross-skilling and innovation.
By combining engineering excellence, open-source management and a vibrant developer ecosystem, the businesses are making it simpler than ever for builders to construct, scale and deploy the subsequent technology of AI purposes.
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