Inference engineering is becoming a new middle-layer market in AI
dotey · x · 2026-08-04
- The thread argues that inference engineering has become a huge new middle-layer market because AI changes fast, information asymmetry is large, capital is abundant, and the story is compelling.
- It breaks down the core technical levers: separating prefill from decode, cache-aware routing with KV cache reuse, speculative decoding, quantization, and rapid day-0 support for new open models.
- The claim is that these optimizations can lift throughput from roughly 30–40 tokens/s to 300–400 tokens/s, creating a large price/performance gap for infrastructure vendors.
- The conclusion: inference engineering is one of the first examples of a potentially billion-dollar intermediary business in the AI stack, with more such startups likely to follow.
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