doc: prefill/decode performance technique survey (June 2026)#43
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Survey of 2024-2026 inference-performance techniques applicable to the engine, prioritized by Apple-Silicon evidence, effort, and compatibility with the exactness invariants. Covers wired-memory limits, sampler compilation, n-gram and MTP speculative decoding, token-budget chunked prefill, packed prefill, fused Metal kernels, and paged attention, plus MLX framework status (v0.31.2 is current; no fused quantized-KV SDPA upstream). https://claude.ai/code/session_0119yHPn3SDzSACP7Cy4V2kM
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Survey of 2024-2026 inference-performance techniques applicable to the
engine, prioritized by Apple-Silicon evidence, effort, and compatibility
with the exactness invariants. Covers wired-memory limits, sampler
compilation, n-gram and MTP speculative decoding, token-budget chunked
prefill, packed prefill, fused Metal kernels, and paged attention, plus
MLX framework status (v0.31.2 is current; no fused quantized-KV SDPA
upstream).
https://claude.ai/code/session_0119yHPn3SDzSACP7Cy4V2kM