Why Is Japan Still Investing In Custom Floating Point Accelerators?
It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go mainstream with GenAI. …
It has taken nearly two decades and an immense amount of work by millions of people for high performance computing to go mainstream with GenAI. …
The HPC centers of the world like fast networks and compute, but they are also always working under budget constraints unlike their AI peers out there in the enterprise, where money seems to be unlimited to what sometimes looks like an irrationally exuberant extent. …
If you want a CPU that has the floating point performance of a GPU, all you have to do is wait six or so years and the CPU roadmaps can catch up. …
In March, Nvidia introduced its GH100, the first GPU based on the new “Hopper” architecture, which is aimed at both HPC and AI workloads, and importantly for the latter, supports an eight-bit FP8 floating point processing format. …
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