Split-KV decoding: how many splits would you use for batch 1 at 128K context on 132 SMs, and how are the partial results merged?
Batch-1 decode at long context gives the GPU eight thread blocks and 132 SMs. The answer counts the waves, picks the split count from a wave-efficiency rule rather than a guess, and derives the merge that makes the result exact.
Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.
Batch-1 decode at long context gives the GPU eight thread blocks and 132 SMs. The answer counts the waves, picks the split count from a wave-efficiency rule rather than a guess, and derives the merge that makes the result exact.
At batch 1 the step reads every weight once to produce one token per sequence, so arithmetic intensity sits near 1 FLOP per byte and the tensor cores idle.