#Microsoft

If intelligence is the log of compute… it starts with a lot of compute! And that’s why we’re scaling our GPU fleet faster than anyone else. Just last year, we added over 2 gigawatts of new capacity – roughly the output of 2 nuclear power plants. And today we’re going further, announcing the world's most powerful AI datacenter, located in southeastern Wisconsin. Fairwater is a seamless cluster of hundreds of thousands of NVIDIA GB200s, connected by enough fiber to circle the Earth 4.5 times. It will deliver 10x the performance of the world’s fastest supercomputer today, enabling AI training and inference workloads at a level never before seen. For AI training workloads, you need compute at exponential scale. That’s why we designed the datacenter, GPU fleet, and network together as one integrated system. This ensures a single job can run from day 1 at exponential scale across thousands of GPUs. Fairwater uses a liquid-cooled closed-loop system for cooling GPUs that requires zero water for operations after construction. And we’re matching all of the energy that is consumed with renewable sources. And of course, it is just one of several similar sites we’re lighting up across our 70+ regions. We have multiple identical Fairwater datacenters under construction in other locations across the US, in addition to our AI infrastructure already deployed in over 100 datacenters around the world, powering model training, test-time compute, RL tuning, and real-time inference at global scale. Too often during times like this, people go with the current and only later wonder, how did we get here? With Fairwater, we're charting a new path: doing the hard engineering work, bringing compute, network, and storage into one highly scaled cluster, and designing closed-loop energy systems to meet real-world computing needs. And partnering with local communities to ensure it's thoughtfully done in a way that is sustainable, creates new jobs, and expands opportunity. We are thrilled to see this take hold in Wisconsin, and we are just getting started.

New in Word: Copilot now tracks changes, leaves comments, and more, working more like a coworker right inside your document, grounded in all your enterprise context with Work IQ. https://t.co/x7KAZsk3WR

Meet MAI-Image-2-Efficient. Production-ready quality, 22% faster, and 4x more efficient than MAI-Image-2. Priced almost 41% lower too. Plus 40% average lower latency than other leading models. Live now in Microsoft Foundry + MAI Playground. https://microsoft.ai/news/mai-image-2-efficient/ https://t.co/UKLm5FQzxx

The @GitHub Research folks released a "Rubber Duck" agent for the Copilot CLI. Automatically get a review from a model from a different AI family. And their data shows that yes, this does in fact help. Quite a bit. https://t.co/vHYIGwSNYj

我们的新图像生成器 MAI-Image-2 发布了！现已在 MAI Playground 上线，从逼真的写实效果到详细的资讯图，样样都能胜任。 我们团队为这次发布付出了巨大的努力，现在我们已跻身顶尖模型之列：在 @arena 上排名第 3 的模型家族。 详情请见我们的博客：https://microsoft.ai/news/introducing-MAI-Image-2/ 它即将登陆 Copilot 和 Bing Image Creator，以及 Microsoft Foundry。 真的为我们模型和产品上的进展感到自豪——敬请期待新发布，并加入我们的超级智能使命！