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Home News AI

NVIDIA, Alphabet, and Google Unite to Drive Advancements in Agentic and Physical AI

Arshi Khan by Arshi Khan
March 19, 2025
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NVIDIA Google

Google, Alphabet, and NVIDIA have unveiled new initiatives to advance the field of AI, democratizing access to AI technologies, accelerating the development of agentic and physical AI systems, and transforming key sectors such as healthcare, manufacturing, and energy on their longstanding partnership.

Engineers and researchers of Google and Alphabet are working together with NVIDIA’s technical teams to leverage AI and simulation for innovative applications, including the development of robots with advanced grasping algorithms, the reimagining of drug discovery processes, and the optimization of energy grid systems.

“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,” said Sundar Pichai, CEO of Google and 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.”

Also Read: Cisco and NVIDIA to Strengthen Partnership to Accelerate AI Adoption in the Enterprise

“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,” said Jensen Huang, founder and CEO of NVIDIA. “It’s a great joy to see Alphabet and NVIDIA researchers and engineers collaborate to solve incredible challenges, from drug discovery to robotics.”

Google DeepMind and NVIDIA are working to build trust in generative AI through content transparency.

Concurrently, NVIDIA and Google DeepMind are also announcing a collaboration with Disney Research to develop “Newton,” an open-source physics engine accelerated by NVIDIA Warp that is compatible with MuJoCo. Now powered by MuJoCo Warp, Newton will accelerate robotics machine learning workloads by more than 70x compared to MuJoCo’s existing GPU-accelerated simulator, MJX.

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Arshi Khan

Arshi Khan

A research-focused journalist covering enterprise technology, AI, and cybersecurity. Reporting combines market data, expert interviews, and on-ground industry inputs to produce accurate, context-driven stories for business decision-makers. She can be reached at [email protected]

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