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Tag Archives: NVIDIA Blackwell
AI Infrastructure at Scale: The Topology Decisions That Matter
A practical comparison of Rail-Only, Rail-Optimised Fat-Tree and traditional Clos network topologies for AI backend (East/West) Networks Modern AI infrastructure conversations are dominated by headline numbers. How many GPUs? How much HBM? How many terabits of bandwidth? How many tokens … Continue reading
Posted in Artificial Intelligence
Tagged ai, Artificial Intelligence, blackwell, feynman, Feynman platform, infiniband, llm, nvidia, NVIDIA Blackwell, rail, rail optimised, rosa, rosa feyman, rubin, technology, token, topology
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What’s next for AI Infrastructure?
Don’t worry if some of the terms below are new to you, I have linked my glossary here Over the last year or so I’ve had so many meetings, read so many papers, watched hundreds of hours of educational videos, … Continue reading
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