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GPT-2 KV caching experiment: 1,000x fewer estimated FLOPs, about 6x lower per-token latency

I implemented GPT-2 small and KV caching in PyTorch to connect the maths with actual inference measurements. I have written up the experiment as the first post on my new blog. Setup: NVIDIA A40, fp32 with TF32 disabled, batch size 1, greedy decoding, CUDA synchronization around timings, median of f…

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  1. 2026-10-18 08:19 · r/deeplearning
    GPT-2 KV caching experiment: 1,000x fewer estimated FLOPs, about 6x lower per-token latency

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