vLLM, a high throughput OpenAI compatible inference and serving engine for large language models, secured and ready to serve from first boot.
vLLM is a high throughput, memory efficient inference and serving engine for large language models. Its PagedAttention scheduler delivers leading serving throughput and it exposes an OpenAI compatible REST API, so existing OpenAI client code works unchanged against a private, self hosted inference backend for open weight models.
cloudimg ships vLLM hardened and fully patched on Ubuntu 24.04 LTS, with the inference server bound to loopback behind an nginx TLS proxy that enforces a unique API key generated on first boot into a root only file. A paired deployment guide and 24/7 support are included with every image.