GLOBALATLAS AI · LLM hosting

LLM hosting

A model service needs weights in memory, runtime buffers, a KV cache and an application endpoint.

From a user request to model output

  1. 01

    Application API: access and request limits

  2. 02

    Model server: weights, context and KV cache

  3. 03

    Persistent storage: model versions and logs

Architecture decision

Specify model revision, precision, context and concurrency. Test response latency with real prompts before sizing production capacity.

Configuration requirements

Separate the model server from the public API if their scaling and security requirements differ.

Technical references

Specification 1 →