The Wayback Machine - https://web.archive.org/web/20221024153906/https://www.nextplatform.com/
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Compute

The Iron That Will Drive AI At Meta Platforms

If there is one thing that is consistently true about HPC clusters for the past thirty years and for AI training systems for the past decade, it is as workloads grow, the network becomes increasingly important – and perhaps as important as packing as much flops in a node as …

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Compute

TSMC: The Leading Indicator For An Entire Industry

Taiwan Semiconductor Manufacturing Co is the world’s largest and most advanced producer of semiconductors, and is therefore a “bellwether” for the semiconductor industry and, in turn therefore, a leading indicator of the entire IT sector that depends so heavily on semiconductors as its key driver. A bellwether is supposed to …

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Edge

The Edge Is The New Frontier For IT

The datacenter is becoming hyperdistributed and incorporating some multiple of capacity – 2X, 3X, 4X, or maybe 10X – outside of the traditional datacenter walls because applications and storage live increasingly at the edge. The edge is not just a new frontier for customers, who are being drawn out of …

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AI

Deep Dive On Google’s Exascale TPUv4 AI Systems

It seems like we have been talking about Google’s TPUv4 machine learning accelerators for a long time, and that is because we have been. And today, at the Google Cloud Next 2022 conference, the search engine, advertising, video streaming, enterprise application, and cloud computing giant will finally make its fourth …

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Cloud

Number Three Has To Work Very Hard In The Cloud

Being in the cloud business is difficult and expensive – even for a rich company like Google. The cloud business is at a $25 billion run rate, and generated $6.3 billion in the most recent quarter, a 36 percent year-over-year jump driven in part by Google Cloud and demand for …

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Compute

The Art Of System Design As HPC And AI Applications Diverge

Predicting the future is hard, even with supercomputers. And maybe specifically when you are talking about predicting the future of supercomputers. As we noted many years ago, the fact that AI training workloads using convolution neural networks came along with enough data to actually start working at the same time …

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Compute

Different GPU Horses For Different Datacenter Courses

If the semiconductor business teaches us anything, it is that volumes matter more than architecture. A great design doesn’t mean all that much if the intellectual property in that design can’t be spread across a wide number of customers addressing an even wider array of workloads. How many interesting and …