80% of the DIY LLM inference hype posters have already quit — it's brutally hard systems work
abhijithneil · x · 2026-09-11
The author observes that of the recent wave of people posting about building their own LLM inference engines, 80% stopped posting within a week — because the work is brutally hard.
- Inference is the full execution path from input to output — pure systems engineering.
- It requires the whole toolkit: web APIs, CUDA, ML fundamentals, linear algebra / vectors / tensors.
- That's also why inference engineers command high pay: the bar and the grind are both extreme.
A reality-check post on the 'everyone is writing an inference engine' moment, equal parts informative and meme.
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