MIPS in Hand, AI Chip Startup Wave Computing Delivers First Silicon
When it comes to deep learning chip startups, hype moves fast but crossing the finish line to real production silicon takes an incredibly long time. …
When it comes to deep learning chip startups, hype moves fast but crossing the finish line to real production silicon takes an incredibly long time. …
There has been plenty of talk about where FPGA acceleration might fit into high performance computing but there are only a few testbeds and purpose-built clusters pushing this vision forward for scientific applications. …
Alex St. John is a familiar name in the GPU and gaming industry given his role at Microsoft in the creation of DirectX technology in the 90s. …
If the hype is to be believed, there is no computational problem that cannot be tackled faster and better by artificial intelligence. …
We have heard much about the concept of dark silicon but there is a separate, related companion to this idea. …
It is difficult not to be impatient for the technologies of the future, which is one reason that this publication is called The Next Platform. …
Propping up a successful silicon startup is no simple feat, but venture-backed Wave Computing has managed to hold its own in the small but critical AI training chip market–so far. …
One of the luckiest coincidences in the past decade has been that the hybrid machines designed for traditional HPC simulation and modeling workloads. …
Just by being the chief architect of the IBM’s BlueGene massively parallel supercomputer, which was built as part of a protein folding simulation grand challenge effort undertaken by IBM in the late 1990s, Al Gara would be someone whom the HPC community would listen to whenever he spoke. …
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