One Cerebras Wafer Beats An Exascale Super At Molecular Dynamics
We think that waferscale computing is an interesting and even an inevitable concept for certain kinds of compute and memory. …
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. …
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. …
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