According to @_avichawla, KV-streams prunes KV cache in-place to cut re-prefill costs, nearing 2x faster RL training on SWE-bench with matched accuracy.

According to @_avichawla, NVIDIA's closed-form KV cache transfer skips prefill and runs 2.7–25x faster, retaining up to 98% accuracy across model scales.