How Google and NVIDIA Are Advancing AI to Solve Complex Real-World Challenges Across Industries

AI advancements are being improved across Google, from DeepMind’s research to Google Cloud’s AI-first infrastructure. AI is also being used in healthcare, energy, and robotics. Efforts are made to ensure AI benefits more people.

NVIDIA plays a key role in this mission. As a leader in AI and accelerated computing, NVIDIA has worked with Google on many projects, including Android, AI research, and hardware development. AI is being made more accessible for developers through this collaboration.

AI Models Are Trained Faster Using Google Cloud and NVIDIA GPUs

AI models require powerful computing to train effectively. Google Cloud’s AI infrastructure is now using NVIDIA’s latest GPUs to speed up AI development. The A4 VM, based on the NVIDIA HGX B200 GPU, is now available. The A4X VM, powered by the NVIDIA GB200 NVL72, will be released soon. The latest Blackwell GPUs are also being supported to improve AI training speeds.

AI Models Are Made More Accessible Through Google DeepMind and NVIDIA

Google DeepMind’s Gemini is one of the most advanced AI models. Efforts are being made to expand its reach to developers and users. Last week, Google DeepMind released Gemma 3, a new open AI model. NVIDIA assisted in optimizing Gemma to run efficiently on its GPU platform. Developers can now access Gemini’s capabilities on NVIDIA GPUs.

NVIDIA also announced that Google DeepMind’s SynthID watermarking tool is now used in its Cosmos video generation platform. This marks an important step in ensuring trust in AI-generated content.

AI Is Used to Solve Complex Global Challenges

AI is not only improving daily life but is also being used to solve major global challenges. Alphabet and NVIDIA are working together in several areas:

• Smarter energy grids: Research is being conducted with Tapestry and NVIDIA to improve electric grid simulations.

• Improved drug discovery: AI is being used by Isomorphic Labs and NVIDIA to help develop new medicines.

• Advanced robotics: Intrinsic and NVIDIA are making robots more adaptable with AI-powered grasping abilities.

• Robotics simulation: Google DeepMind and NVIDIA have launched MuJoCo-Warp, a new physics simulator for robotics research.

This collaboration strengthens AI’s foundation, making it more useful for developers and users. With Google’s AI expertise and NVIDIA’s accelerated computing leadership, AI is being advanced in ways that will continue driving innovation.

📌 Source : Google Blog