Lawrence Livermore National Laboratory, Sandia National Laboratories, and Los Alamos National Laboratory are known by the shorthand “Tri-Labs” in the HPC community, but these HPC centers perhaps could be called “Try-Labs” because they historically have tried just about any new architecture to see what promise it might hold in advancing the missions of the US Department of Energy. …
It was only a few months ago when waferscale compute pioneer Cerebras Systems was bragging that a handful of its WSE-3 engines lashed together could run circles around Nvidia GPU instances based on Nvidia’s “Hopper” H100 GPUs when running the open source Llama 3.1 foundation model created by Meta Platforms. …
Waferscale compute engine and AI system maker Cerebras Systems has filed with the US Securities and Exchange Commission to sell a chunk of itself to the public, giving we outsiders a view of the past two and a half years of its internal financials. …
The major cloud builders and their hyperscaler brethren – in many cases, one company acts like both a cloud and a hyperscaler – have made their technology choices when it comes to deploying AI training platforms. …
We think that waferscale computing is an interesting and even an inevitable concept for certain kinds of compute and memory. …
It is a pity that we can’t make silicon wafers any larger than 300 millimeters in diameter. …
Having commercialized its waferscale AI computing platform to a certain extent over the past several year, Cerebras Systems reportedly wants to get an initial public offering done before the AI hype peaks. …
The end of Moore’s Law – the real Moore’s Law where transistors get cheaper and faster with every process shrink – is making chip makers crazy. …
A decade ago, waferscale architectures were dismissed as impractical. Five years ago, they were touted as a fringe possibility for AI/ML. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
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