A workload-first playbook for Kimi K2.6 inference: measure request shape, find the current bottleneck, then tune decode, cache, and routing.
DeepSeek V4.1 cuts persistent KV storage with bounded replay. See what changes on a cache hit, what was tested, and how to validate it.
KV-cache manipulation lets pretrained LLMs observe, reason, and respond concurrently. The mechanism works; the production runtime is still emerging.
DiffusionGemma reaches 7.1x AR decoding speed at batch one, but quality, prefill, and concurrency determine whether that gain survives.