NVIDIA & Google join forces to push AI boundaries further

NVIDIA, Alphabet, and Google have unveiled collaborative initiatives aimed at advancing artificial intelligence (AI) and expanding its accessibility across various industries such as healthcare, manufacturing, and energy.

Engineers and researchers from Alphabet will partner with NVIDIA's technical teams to utilise AI and simulation technologies to innovate in areas including robotics, drug discovery, and energy optimisation. NVIDIA's Omniverse, Cosmos, and Isaac platforms will be used to support projects involving teams from Google DeepMind, Isomorphic Labs, Intrinsic, and X's moonshot project, Tapestry.

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 developments were announced as part of the collaboration.

NVIDIA will also integrate Google DeepMind's SynthID, a technology embedding digital watermarks in AI-generated content, to preserve content integrity and safeguard against misinformation.

Sundar Pichai, CEO of Google and Alphabet, said, "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 optimisation of Google's open models, Gemma, to run efficiently on NVIDIA GPUs, enhancing accessibility for AI developers. NVIDIA's AI platform powers these optimised models as part of the collaboration.

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.

The companies are also tackling real-world challenges through Isomorphic Labs and X's Tapestry. By using AI, Isomorphic Labs aims to reformulate drug discovery processes, while Tapestry focuses on enhancing electric grid simulations and stability to support a greener energy future.

As part of their infrastructure advancements, Google Cloud and NVIDIA have collaborated to offer Blackwell GPUs in new instances to cater to AI and visual computing workloads across diverse industries. This includes the widespread adoption of NVIDIA's Blackwell architecture for enhanced AI task performance.

These joint efforts further highlight Google Cloud's commitment to advancing AI infrastructure, evident in its introduction of new virtual machines based on NVIDIA technologies, offering broader scalability and performance benefits to its customers.