Scientists from KAUST and engineers from Cerebras Systems have fine-tuned an existing algorithm, Tile Low-Rank Matrix-Vector Multiplications (TLR-MVM), to improve the speed and accuracy of seismic data processing. …
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. …
The HPC gurus of the world may have started moving into the hyperscalers and cloud builders in recent years, but they don’t tend to work for vendors and they tend to stay in one place and lean in. …
We could have a long, thoughtful, and important conversation about the way AI is transforming the world. …
A decade ago, waferscale architectures were dismissed as impractical. Five years ago, they were touted as a fringe possibility for AI/ML. …
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. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
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? …
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