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The point is that the GPU is designed for parallel computation. This happens to be useful for graphics, AI, and any other problem that can be expressed as a lot of independent calculations that can be executed in parallel. It’s a completely different architecture from a traditional CPU. This particular card is meant for running LLM models, and it will do it orders of magnitude faster than running this stuff on a CPU.
300i https://www.bilibili.com/video/BV15NKJzVEuU/
M4 https://github.com/itsmostafa/inference-speed-tests
It’s comparable to an M4, maybe a single order of magnitude faster than a ~1000 euro 9960X, at most, not multiple. And if we’re considering the option of buying used, since this is a brand new product and less available in western markets, the CPU-only option with an EPYC and more RAM will probably be a better local LLM computer for the cost of 2 of these and a basic computer.
The point is that the GPU is designed for parallel computation. This happens to be useful for graphics, AI, and any other problem that can be expressed as a lot of independent calculations that can be executed in parallel. It’s a completely different architecture from a traditional CPU. This particular card is meant for running LLM models, and it will do it orders of magnitude faster than running this stuff on a CPU.
300i https://www.bilibili.com/video/BV15NKJzVEuU/
M4 https://github.com/itsmostafa/inference-speed-tests
It’s comparable to an M4, maybe a single order of magnitude faster than a ~1000 euro 9960X, at most, not multiple. And if we’re considering the option of buying used, since this is a brand new product and less available in western markets, the CPU-only option with an EPYC and more RAM will probably be a better local LLM computer for the cost of 2 of these and a basic computer.
M4 is a SoC architecture so it’s not directly comparable. It combines multiple chips for CPU and GPU that share memory on a single chip.