Nvidia, Alphabet, and Google announce collaboration focused on physical and agentic AI
NVIDIA and Alphabet/Google announced at GTC they are expanding their AI collaboration, focusing on advanced hardware, responsible AI development, robotics innovation, and transformative applications in fields like drug discovery and energy management.
NVIDIA, Alphabet, and Google have announced a significant expansion of their partnership aimed at advancing artificial intelligence across multiple domains. The collaboration revealed at NVIDIA's GTC conference, focuses on robotics, drug discovery, energy optimization, and responsible AI development.
Key Initiatives
Google Cloud will be among the first to adopt NVIDIA's latest hardware innovations, including the GB300 NVL72 rack-scale solution and RTX PRO 6000 Blackwell Server Edition GPU, providing enhanced performance for AI workloads.
On the responsible AI front, NVIDIA will become the first external user of Google DeepMind's SynthID technology, which embeds digital watermarks in AI-generated content to combat misinformation. The partners have also optimized Google's Gemma family of open models to run efficiently on NVIDIA GPUs.
In robotics, Intrinsic is working with NVIDIA to integrate Isaac Manipulator foundation models into their Flowstate platform, potentially transforming industrial automation by simplifying robot programming through adaptive AI.
Additional collaborators include Isomorphic Labs, which uses NVIDIA GPUs to accelerate AI-driven drug discovery, and X's Tapestry project, which partners with NVIDIA to enhance electric grid simulations for renewable energy integration.
"I'm excited about the next phase of our partnership as we work together on agentic AI, robotics, and bringing the benefits of AI to more people around the world," said Sundar Pichai, CEO of Google and Alphabet.
Jensen Huang, founder and CEO of NVIDIA, added: "It's a great joy to see Google and NVIDIA researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics."
This expanded partnership represents a significant advancement in AI systems that can both understand content and interact meaningfully with the physical world, promising transformative impacts across manufacturing, healthcare, and energy management
Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.
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