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www.cherryservers.com | ||
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raphlinus.github.io
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| | | | | The GPU in your computer is about 10 to 100 times more powerful than the CPU, depending on workload. For real-time graphics rendering and machine learning, you are enjoying that power, and doing those workloads on a CPU is not viable. Why aren't we exploiting that power for other workloads? What prevents a GPU from being a more general purpose computer? | |
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pixeljetstream.blogspot.com
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| | | | | Hi, while gathering public material on how the hardware works, I tried to create a compressed architecture image. It is based on images and ... | |
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flow-computing.com
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| | | | | Flow's Parallel Processing Unit (PPU) gives 100X CPU performance for demanding applications, such as locally-hosted AI and general-purpose parallel computing. | |
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momentsingraphics.de
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