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. …
The need for high-powered computing isn’t going away. Enterprises trying to corral the massive amounts of data they’re generating and adopting emerging technologies like machine learning are demanding the sort of HPC capabilities that not too long ago were reserved for research and educational institutions. …
It is very rare for any of the major semiconductor suppliers of the world to ever admit that things are going wrong, even when we all know that they have been. …
While AI training dims the lights at hyperscalers and cloud builders and costs billions of dollars a year, in the long run, there will be a whole lot more aggregate processing done on AI inference than on AI training. …
Sponsored Post: Analyst firm Gartner believes AI will remain one of the top workloads driving infrastructure decisions through to 2023 as more organizations push pilot projects into the production stage. …
Predicting the future is hard, even with supercomputers. And maybe specifically when you are talking about predicting the future of supercomputers. …
If the semiconductor business teaches us anything, it is that volumes matter more than architecture. …
The King Abdullah University of Science and Technology (KAUST) in Saudi Arabia has introduced the latest in its long-standing lineup of successive supercomputers with Shaheen III. …
Like everyone else on planet Earth, we were expecting for the next generation of graphics cards based on the “Ada Lovelace” architecture to be announced at the GTC fall 2022 conference this week, but we did not expect for the company to deliver a passively cooled, datacenter server friendly variant of the GeForce RTX 6000 series quite so fast. …
You can’t be certain about a lot of things in the world these days, but one thing you can count on is the voracious appetite for parallel compute, high bandwidth memory, and high bandwidth networking for AI training workloads. …
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