Don't Over-Engineer Your Inference Stack from Day One
TerryTangYuan · x · 2026-07-07
The author notes that most teams over-engineer their inference stack from day one: splitting before measuring, using speculative decoding before concurrency is stable, multi-tenant mesh for single-model teams. The proven principle: add one mechanism at a time, only when simpler solutions have reached their limit. This is Part 3 of the 'Distributed AI Inference' series, offering six deployment blueprints for different traffic patterns like chat/copilot and long-context.
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