Demis Hassabis, Co-Founder and CEO of Google DeepMind and Nobel Prize Laureate in Chemistry 2024, attends the Artificial Intelligence (AI) Action Summit at the Grand Palais in Paris, France, February 10, 2025. Benoit Tessier | Reuters On a rare sunny day in London at the Google DeepMind office, Colin Murdoch saw the bank deposit from his employer come through. It wasn't his paycheck. Google was investing in his startup. The fledgling company was Isomorphic Labs, the secretive artificial intelligence life sc ...

Core Insights - NVIDIA, Alphabet, and Google are launching new initiatives to enhance AI, democratize access to AI tools, and transform various industries including healthcare, manufacturing, and energy [1][20] Group 1: AI and Robotics Development - Engineers and researchers from Alphabet and NVIDIA are collaborating to develop robots with advanced grasping skills and reimagine drug discovery using AI and simulation technologies [2] - The partnership includes the use of NVIDIA platforms such as Omniverse™, Cosmos™, and Isaac™ to support these initiatives [2] - Intrinsic, an Alphabet company, is focused on creating adaptive AI for robotics, aiming to reduce the complexity and cost of programming industrial robots [9][10] Group 2: Drug Discovery Innovations - Isomorphic Labs is leveraging AI to revolutionize drug discovery, utilizing a state-of-the-art drug design engine on Google Cloud powered by NVIDIA GPUs [12] - This collaboration aims to enhance the scale and performance of AI models that can significantly advance human health [12] Group 3: Energy Solutions - Tapestry, a project under Alphabet's X, is working with NVIDIA to develop AI-powered products for a more reliable and sustainable electric grid [13][14] - The focus is on optimizing energy grid simulations and integrating new energy sources to meet the demands of data centers and AI [14] Group 4: AI Infrastructure Advancements - Google Cloud will be among the first to adopt NVIDIA's latest GB300 NVL72 and RTX PRO 6000 Blackwell Server Edition GPUs, enhancing AI performance [3][15] - The GB300 NVL72 offers 1.5 times more AI performance compared to its predecessor, with a 50 times increase in revenue opportunity for AI factories [16] Group 5: Open Model Optimization - Google DeepMind and NVIDIA are optimizing Gemma, a family of lightweight open models, to run efficiently on NVIDIA GPUs, enhancing accessibility for developers [7] - The collaboration also includes optimizing Gemini-based workloads on NVIDIA accelerated computing via Vertex AI [8]