Cerebras Goes Hyperscale With Third Gen Waferscale Supercomputers
It is a pity that we can’t make silicon wafers any larger than 300 millimeters in diameter. …
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. …
When you are competing against the hyperscalers and cloud builders in the AI revolution, you need backers as well as customers that have deep-pockets and that can not only think big, but pay big. …
We could have a long, thoughtful, and important conversation about the way AI is transforming the world. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
If you were going to build an electronic brain in 2022, it might look something like the Neocortex supercomputer at the Pittsburgh Supercomputing Center at Carnegie Mellon University. …
Historically, the largest organizations in the world – the Global 2000 plus the biggest national government and academic research institutions – have always had the most complex data processing needs. …
What is that famous maxim in computer science about something that doubles on a regular cadence? …
Over the next year, we should get a good sense of how the Cerebras CS-1 system performs for dual HPC and AI workloads between installations at Argonne and Lawrence Livermore labs, EPCC, and the Pittsburgh Supercomputing Center (PSC). …
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