Google, NVIDIA, and Alphabet have announced joint projects to develop AI and make it more widely available in a range of sectors, including manufacturing, healthcare, and energy.

Together with NVIDIA's technical teams, Alphabet engineers and researchers will use AI and simulation technologies to advance fields including robotics, medication development, and energy efficiency. Projects including teams from Google DeepMind, Isomorphic Labs, Intrinsic, and X's moonshot project, Tapestry, will be supported by NVIDIA's Omniverse, Cosmos, and Isaac platforms.

To support AI research and production, Google Cloud will adopt NVIDIA's GB300 NVL72 rack-scale solution and RTX PRO 6000 Blackwell Server Edition GPU. These breakthroughs were announced as part of the collaboration.

To maintain content integrity and protect against false information, NVIDIA will also incorporate Google DeepMind's SynthID technology, which embeds digital watermarks in AI-generated content.

Sundar Pichai, CEO of Google and Alphabet says, "I'm proud of our ongoing and deep partnership with NVIDIA, which spans the early days of Android and our cutting-edge AI collaborations across Alphabet. I'm really 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."

Jensen Huang, founder and CEO of NVIDIA, commented, "Alphabet and NVIDIA have a longstanding partnership that extends from building AI infrastructure and software to advancing the use of AI in the largest industries. It's a great joy to see Google and NVIDIA researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics."

The partnership includes the optimization of Google's open models, Gemma, to run efficiently on NVIDIA GPUs, enhancing accessibility for AI developers. NVIDIA's AI platform powers these optimized models as part of the collaboration.

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Stone Unani, a senior engineer at NVIDIA, stated that such collaborations enhance AI development prospects, particularly through tools like NVIDIA TensorRT-LLM for efficient inference performance in various AI applications.

In robotics, Intrinsic, an Alphabet company focused on adaptive AI, is working with NVIDIA to develop intuitive developer workflows for robot grasping capabilities, reducing development complexities and enhancing robotics flexibility.

NVIDIA and Google DeepMind have teamed up with Disney Research to work on Newton, a physics engine aimed at accelerating robotics machine learning processes, promising performance improvements over 70 times faster than existing simulators.