Specialized inference engines: the batch-of-prompts abstraction may be wrong
sh_reya · x · 2026-09-17
shreya argues that with declarative DSLs and inference inside operators, OpenAI-API-style batches of independent string prompts may be the wrong intermediate representation. Key points: you can build specialized inference engines by reusing vLLM/SGLang components (model loader, forward pass); KV cache is the inference-era analog of the buffer pool, and domains like data processing will need specialized KV cache management; SGLang's original programming model was interesting here but its maintenance status is unclear.
Related event: Coding Agents Fuel Rise of Specialized Inference Engines(4 posts)→
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