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Building a Pure AI Inference Server
Most people building "AI servers" end up with a machine trying to be a database, web server, chat frontend, and inference box all at once — and then wonder why it falls over. This episode walks through what it actually takes to build a pure inference server: a machine whose only job is running models, with everything served out over an API. We cover engine selection (vLLM vs SGLang vs Ollama), the multi-model problem, concurrency and batching, VRAM planning, and the orchestration gaps that still exist. If you've been thinking about setting up dedicated inference infrastructure, this is the…
The skinny
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