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1:15
YouTube
CodeSpace
When to Go Cloud and When to Stay On-Premise
Choosing between cloud computing and on-premise servers is one of the most important decisions for any business, whether you’re a startup, a growing app, or an established enterprise. Cloud solutions shine when you need speed, flexibility, and scalability—perfect for new businesses with low traffic or applications with unpredictable ...
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Big news: Project Rainier is now fully operational!👩💻⛰️ Discover how AWS has built infrastructure for the world's most powerful AI supercomputer. | Amazon Web Services
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Amazon Web Services
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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
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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.
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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.
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