Reusable building blocks and custom caches for specialized AI inference

Specialized engines for running AI models can reuse components from vLLM or SGLang, such as the model loader and forward pass, one post argues. The author suspects many applications and domains will need specialized KV cache management, drawing an analogy to applications needing fine-grained control over buffer pools.

In a follow-up reply, the same author questions whether batches of independent text prompts, as in the OpenAI API, are the right intermediate layer for a declarative, domain-specific language with inference built into an operator. They describe SGLang’s original programming model as interesting but are unsure who uses it or whether it is actively supported.