Nvidia Launches New Google And Microsoft Azure Products At GTC 2025

Here are the new Nvidia product launches for Microsoft Azure and Google at Nvidia GTC 2025 this week that partners and customers should know about.

Nvidia’s GTC 2025 conference this week has seen a slew of innovative product launches including several innovations alongside cloud giants Microsoft Azure and Google Cloud.

This week at Nvidia GTC in San Jose, Calif., Nvidia unveiled that it will bring its Blackwell Ultra GPUs and the Nvidia RTX PRO 6000 Blackwell Server Edition to Microsoft Azure .

“Our partnership with Azure and the introduction of the Nvidia Blackwell platform represent a significant leap forward,” said Nvidia’s Ian Buck, vice president of hyperscale and HPC in a statement.

Microsoft said it will launch the Blackwell Ultra GPU-based virtual machines (VMs) later in 2025. These VMs promise to deliver exceptional performance and efficiency for the next wave of agentic and generative AI workloads.

[Related: Nvidia Buys Synthetic Data Startup Gretel To Boost AI, LLMs]

Additionally at GTC 2025, Microsoft unveiled the general availability of Azure ND GB200 V6 series accelerated by Nvidia GB200 NVL72 and Nvidia Quantum InfiniBand networking.

Microsoft said this addition to the Azure AI Infrastructure portfolio, alongside existing VMs that use Nvidia H200 and Nvidia H100 GPUs, highlight its commitment to optimizing infrastructure for the next wave of complex AI tasks like planning, reasoning, and adapting in real-time.

Nvidia Microservices Now Inside Azure AI Foundry

On the agentic AI front, Nvidia and Microsoft introduced Nvidia Inference Microservices (NIM) within Azure AI Foundry.

Azure AI Foundry will now offer Nvidia’s NIM microservices to provides optimized containers for dozens of popular foundation models, allowing developers to deploy generative AI applications and agents quickly.

Key features include optimized model throughput for Nvidia accelerated computing platforms, prebuilt microservices deployable anywhere, and enhanced accuracy for specific use cases.

Google And Nvidia Optimize Gemma 3 And Gemini

Google and Nvidia also partnered to optimize Gemma, Google’s family of lightweight open models to run on Nvidia GPUs. Google’s launch of Gemma 3marks a significant leap forward for open innovation, the companies said.

Nvidia helped make Gemma even more accessible for developers with Gemma available as a highly optimized Nvidia NIM microservice.

Additionally, this engineering collaboration will extend to optimizing Gemini-based workloads on Nvidia accelerated computing via Vertex AI.

Google And Nvidia Are Driving Robotic AI Innovation

Nvidia is collaborating with Google DeepMind to develop Newton, a physics engine to simulate robotic movements in real-world settings.

Newton is supposed to help robots be more “expressive” and “learn how to handle complex tasks with greater precision,” Nvidia said. The physics engine is designed to help developers simulate how robots interact with the natural world.

Newton will be compatible with Google DeepMind’s ecosystem of robotic development tools, including its physics engine, MuJoCo, which simulates multi-joint robot movements, Nvidia added. Using foundation models for robotics aims to significantly reduce application development time and improve flexibility, with AI that can adapt effortlessly.

Nvidia plans to release an open-source version of Newton later in 2025.

Lastly, Google Cloud will be among the first to adopt the Nvidia GB300 NVL72 rack-scale solution and Nvidia RTX PRO 6000 Blackwell Server Edition GPU.

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