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From Google DeepMind\u2019s AI advancements, to Google Cloud\u2019s AI-first infrastructure, to our Other Bets\u2019 use of AI to tackle complex challenges in areas like healthcare, energy and robotics \u2014 every corner of our company is focused on pushing the frontier of AI and bringing its benefits to everyone.<\/p>\n
NVIDIA is a critical partner in this mission. As a world leader in AI and accelerated computing, NVIDIA has collaborated with Google and Alphabet for years on a wide variety of projects, including Android, advanced AI research, next-generation hardware and software optimizations, and beyond \u2014 all with the goal of making AI more accessible for developers.<\/p>\n
This week at the NVIDIA GTC global AI conference, we\u2019re doubling down on our partnership with NVIDIA with announcements across Google and Alphabet:<\/p>\n
Training large AI models requires serious computing power, and NVIDIA continues to raise the bar on GPU performance. We\u2019re excited to announce our A4 VM is now generally available, based on NVIDIA HGX B200 GPU \u2014 and our A4X VMs based on NVIDIA GB200 NVL72 will be available soon, too. We\u2019re committed to supporting the latest Blackwell GPUs, including the just-announced NVIDIA RTX PRO 6000 Blackwell and NVIDIA GB300. This means faster training times, smoother deployments and the ability to tackle even more complex AI challenges.<\/p>\n
Google DeepMind\u2019s Gemini is the result of decades of large language model research and is our most capable AI model. This week we\u2019ll share how rapid advances in Gemini are designed to support more developers and end users \u2014 and how our collaboration with NVIDIA is helping to make that possible.<\/p>\n
The Google DeepMind team also released Gemma 3 last week, the latest in our collection of lightweight, state-of-the-art open models. NVIDIA played a key role in the development of these open models, working closely with our researchers to optimize Gemma to run on its vast accelerated computing ecosystem. This means developers can easily access the same technology that powers Gemini and implement it on any NVIDIA GPU available to them.<\/p>\n
Separately, NVIDIA also announced today that it has employed Google DeepMind\u2019s SynthID watermarking tool on its Cosmos video generation platform. This marks our first external deployment of the technology, and we\u2019re proud to help instill user trust in AI-generated content.<\/p>\n
Our collaboration with NVIDIA isn\u2019t just about building AI tools to help in daily life; it\u2019s about fundamentally improving the quality of life for everyone. That means working together to apply AI to address some of the world\u2019s most complex challenges. For starters, we\u2019re teaming up to apply the most advanced frontier models to areas from energy to drug discovery.<\/p>\n
We\u2019ve always believed that the value of technology lives in its capacity to benefit people everywhere. That\u2019s been foundational to our mission and it\u2019s what our growing collaboration with NVIDIA is built on. By combining Google\u2019s expertise in AI research and infrastructure with NVIDIA\u2019s leadership in accelerated computing, we\u2019re committed to strengthening the foundation of AI, making AI more accessible and helpful to developers and users, and collaborating in ways that will drive innovation for years to come.<\/p>\n
If you\u2019re attending GTC this week, swing by Google Cloud\u2019s booth #914 and check out one of the many Google sessions to learn more about our work together.<\/p>\n<\/div>\n