Why Cache Hit Rate Is the Real Tell of Inference-Provider Quality

Key Info

An AI-infrastructure developer argues that a hosting provider's cache hit rate is one of the strongest signals of its overall engineering quality, because real-world inference optimization depends on a long chain of small hardware and software choices tuned to a specific model. The developer also warns that DeepSeek is currently the only provider genuinely reaching ~99% cache hit rates, so competing providers claiming that number are often simply wrapping DeepSeek.

Highlights

• Cache hit rate, not sticker price, reveals how much a provider has optimized its inference stack for the model it serves.
• Top-tier inference performance requires hundreds of small fixes across datacenter setup, hardware, and software, which are easy to get wrong.
• DeepSeek sets the cache-performance benchmark: ~99% hit rates are effectively a DeepSeek signature, and similar claims elsewhere usually mean reselling DeepSeek.
• OpenAI and Anthropic are acknowledged as excellent, but the discussion focuses on models that third parties can host themselves.