惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

博客园 - Franky
U
Unit 42
MyScale Blog
MyScale Blog
B
Blog
阮一峰的网络日志
阮一峰的网络日志
量子位
IT之家
IT之家
The GitHub Blog
The GitHub Blog
F
Fortinet All Blogs
Recent Announcements
Recent Announcements
V
Visual Studio Blog
G
Google Developers Blog
Last Week in AI
Last Week in AI
雷峰网
雷峰网
博客园 - 聂微东
博客园 - 叶小钗
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
J
Java Code Geeks
博客园 - 司徒正美
Y
Y Combinator Blog
T
The Blog of Author Tim Ferriss
月光博客
月光博客
aimingoo的专栏
aimingoo的专栏

Alphabet

Waymo is bringing Gemini into its custom Ojai vehicles. Q2 2026 earnings call: Remarks from our CEO Alphabet investor presentation: June 2026 Q1 2026 earnings call: Remarks from our CEO Intrinsic is joining Google to accelerate the future of physical AI. Q4 earnings call: Remarks from our CEO Q3 earnings call: Remarks from our CEO Q2 earnings call: CEO’s remarks Q1 2025 earnings call: CEO’s remarks Investing in Black-led startups and investment firms Alphabet issues sustainability bonds to support environmental and social initiatives Alphabet’s Q1 2020 earnings call A letter from Larry and Sergey “We choose to go to the moon”: Lessons from X When computers learn to swear: Using machine learning for better online conversations Project Shield: Defending Maka Angola This year’s Founders' Letter Protecting the world's news from digital attack Bringing the Internet within reach of 100 million Indonesians from 20 kms above Earth Bringing the Internet within reach of 100 million Indonesians G is for Google Green lights for our self-driving vehicle prototypes
How Google and NVIDIA are teaming up to solve real-world ...
Keyword Team · 2025-03-19 · via Alphabet

An illustrated card with the names "Google" and "NVIDIA" side-by-side

From Google DeepMind’s AI advancements, to Google Cloud’s AI-first infrastructure, to our Other Bets’ use of AI to tackle complex challenges in areas like healthcare, energy and robotics — every corner of our company is focused on pushing the frontier of AI and bringing its benefits to everyone.

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 — all with the goal of making AI more accessible for developers.

This week at the NVIDIA GTC global AI conference, we’re doubling down on our partnership with NVIDIA with announcements across Google and Alphabet:

Google Cloud’s AI infrastructure will help transform businesses with NVIDIA’s latest GPUs

Training large AI models requires serious computing power, and NVIDIA continues to raise the bar on GPU performance. We’re excited to announce our A4 VM is now generally available, based on NVIDIA HGX B200 GPU — and our A4X VMs based on NVIDIA GB200 NVL72 will be available soon, too. We’re 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.

Google DeepMind and NVIDIA will make the power of Gemini available to more people

Google DeepMind’s Gemini is the result of decades of large language model research and is our most capable AI model. This week we’ll share how rapid advances in Gemini are designed to support more developers and end users — and how our collaboration with NVIDIA is helping to make that possible.

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.

Separately, NVIDIA also announced today that it has employed Google DeepMind’s SynthID watermarking tool on its Cosmos video generation platform. This marks our first external deployment of the technology, and we’re proud to help instill user trust in AI-generated content.

Alphabet and NVIDIA will use AI to tackle the world’s most complex issues

Our collaboration with NVIDIA isn’t just about building AI tools to help in daily life; it’s about fundamentally improving the quality of life for everyone. That means working together to apply AI to address some of the world’s most complex challenges. For starters, we’re teaming up to apply the most advanced frontier models to areas from energy to drug discovery.

  • Smarter energy grids. Tapestry, X’s moonshot for the electric grid, and NVIDIA are researching methods to increase the speed and accuracy of electric grid simulations.
  • Improved drug discovery. Isomorphic Labs and NVIDIA are advancing the development of new medicines using AI.
  • More capable robots. Intrinsic and NVIDIA are making robots more intelligent and capable, with the integration of NVIDIA’s Isaac foundation models for more adaptive grasp capabilities.
  • Advanced robotics simulation. Google DeepMind and NVIDIA are launching MuJoCo-Warp, a new open-source physics simulator that will accelerate robotics research.

We’ve always believed that the value of technology lives in its capacity to benefit people everywhere. That’s been foundational to our mission and it’s what our growing collaboration with NVIDIA is built on. By combining Google’s expertise in AI research and infrastructure with NVIDIA’s leadership in accelerated computing, we’re 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.

If you’re attending GTC this week, swing by Google Cloud’s booth #914 and check out one of the many Google sessions to learn more about our work together.