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What you need is a massive amount of parallel cores. Currently, the cheapest and most efficient way to achieve this is GPUs. It's true that some graphics-specif
by sspiff 9y ago
What you need is a massive amount of parallel cores. Currently, the cheapest and most efficient way to achieve this is GPUs. It's true that some graphics-specific parts of a GPU are not needed for compute-only kernels (such as those for ML or other AI tools), but it's still a lower overhead than a CPU in yet another box.
Who knows, perhaps Intel will be developing more general purpose massively parallel compute processors, but intends to integrate some of the knowledge and experience accrued from the field of graphics processors.
- dnautics 9y agoI think they'll learn from the knights series of processors:. Intel seems to keep shooting itself in the foot by backing powerful computational cores with terrible on chip network architecture