Description
Large-language-model inference can be served from a binary vLLM package for high-throughput deployments. This build supports developers who need the vLLM engine and command-line service without building the core pieces locally.
It can expose network endpoints and process prompts, generated text, model files, and accelerator memory. Keep served APIs private unless intentionally published, and treat prompt logs as sensitive.