@no_stp_on_snek: good hardware find for anyone running local: two GPUs as independent instances beat the same two lashed together with t…
Summary
A hardware tip for running local AI models: using two GPUs as independent instances is faster than tying them together with tensor-parallel over PCIe, which was 23% slower than a single card alone. Tensor parallel is only beneficial for models too large for one GPU.
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Cached at: 07/08/26, 05:42 AM
good hardware find for anyone running local: two GPUs as independent instances beat the same two lashed together with tensor-parallel over PCIe. the TP setup came out 23% slower than a single card alone. if your weights fit on one GPU, don’t pool them. TP is a fit-mechanism for models too big for one card, not a speed trick.
hugh madden (@dangerm00se): The main thing I had fable doing was routing moa and rlm experiments spanning local api and cerebras. Get your agent to summarise I think some of it was interesting. https://t.co/ZSEJFpfrW3 @DJLougen @no_stp_on_snek @Teknium
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