
Cerebras Wants Its Piece Of An Increasingly Heterogenous HPC World
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
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). …
It has been becoming increasingly clear – anecdotally at least – just how expensive it is to train large language models and recommender systems, which are arguably the two most important workloads driving AI into the enterprise. …
The HPC industry, after years of discussions and anticipation and some relatively minor delays, is now fully in the era of exascale computing, with the United States earlier this year standing up Frontier, its first such supercomputer, and plans for two more next year. …
When we last focused on Untether AI in 2021, the AI inferencing hardware startup had just secured $125 million in funding, which came a year after the company officially launched with its first-generation runAI200 devices and its unique at-memory inferencing approach. …
In March, Nvidia introduced its GH100, the first GPU based on the new “Hopper” architecture, which is aimed at both HPC and AI workloads, and importantly for the latter, supports an eight-bit FP8 floating point processing format. …
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