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. …
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. …
What is that famous maxim in computer science about something that doubles on a regular cadence? …
The term “mainstream” in the context of the largest systems on the planet still only means a select few. …
Constructing a processor from an entire silicon wafer might seem like a strange idea, but a new study demonstrated that a waferscale chip can outperform an equivalent multi-chip module MCM by an order of magnitude, while delivering much better energy efficiency. …
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