Amazon’s biggest AI data center is now operational in Indiana, with half a million AWS Trainium 2 chips entirely devoted to powering OpenAI rival Anthropic. Just over a year ago, it was nothing but cornfields. Once complete, 30 buildings will consume 2.2 gigawatts of power there. CNBC talked to AWS CEO Matt Garman about the project, and went to New Carlisle, Indiana, to ask locals about the impact — and for a first ever on-camera tour inside the largest cluster of non-Nvidia chips in the world.

Choose your flavor of computing power. ☁️💪⚡ Introducing new 8th generation EC2 instances with custom Intel Xeon 6 processors, exclusively on AWS. Serve compute-intensive workloads, large databases, & memory-intensive applications with the fastest Intel processors yet. 🔗 https://go.aws/3LimFYG | Amazon Web Services

15 years of innovation: AWS & NVIDIA continue pushing the boundaries of AI infrastructure. At #NVIDIAGTC Washington D.C., we announced big steps forward in our collaboration with NVIDIA. ☁️ Project Ceiba, NVIDIA’s largest cloud deployment, will now be extended to NVIDIA GB300 NVL72 and drive breakthrough technologies like NVIDIA Isaac GR00T. 🤝 NVIDIA NIM is now integrated into Amazon SageMaker AI. 🛡️ NVIDIA AI Enterprise is now available in AWS Marketplace for the U.S. Intelligence Community.

Powering hospitality at an impressive scale. 🏨 Whitbread uses Amazon DynamoDB to manage tens of thousands of bookings every day with zero maintenance and seamless performance during peak demand. Learn more. ▶️ https://go.aws/4obLc04 #AWS #AWSforData | Amazon Web Services

Amazon ECS Managed Instances is now available in all commercial #AWS Regions. 🚀💻 With this fully managed compute option you get the flexibility of Amazon EC2, including access to a range of instance families & purchase options, without managing the underlying infrastructure. Learn more. 👉 https://go.aws/4qBXaBK | Amazon Web Services

Performance, cost, or sustainability? 🤔💡📈 “With AWS Graviton, you can have it all”, says Dave Brown, VP AWS. Getting started is easy with our 4-step guide: It takes one engineer working on one app for one week. What are you waiting for? Let’s make it happen! 👉 https://go.aws/47rNTn6 | Amazon Web Services