vLLM
★ 88.4kApache License 2.0Open Source — No Paywall2 Containers — 2 containers — light hosting footprintPackage · SourceNo external DB52 documented maintainers
About
vLLM is an open-source library for serving and running large language models efficiently. It is aimed at developers and teams that need high-throughput inference for a wide range of model families,...
Community Ratings
No ratings yetFeatures
- LLM inference and serving
- PagedAttention memory management
- continuous batching
- chunked prefill
- prefix caching
- streaming outputs
- structured output generation
- tool calling
- OpenAI-compatible API server
- gRPC support
Details
- Last Updated
- Aug 7, 2026
- Created
- Feb 9, 2023
- Install Methods
- package-managersource
- Requirements
- uv or pip
- API
- RESTGRPC
- Privacy & Independence
- No Cloud Required
- Deployment
Deployment: Docker Compose ✓2 Containers — light hosting footprintRuns as 2 containers
Docker Compose
2 services · 2 unclassified (prometheus, grafana)
no resource limits declared
needs persistent storage (1 volume)
examples/observability/prometheus_grafana/docker-compose.yaml · @ 8d9b52f · scanned Aug 7, 2026
# docker-compose.yaml
version: "3"
services:
prometheus:
image: prom/prometheus:latest
extra_hosts:
- "host.docker.internal:host-gateway" # allow a direct connection from container to the local machine
ports:
- "9090:9090" # the default port used by Prometheus
volumes:
- ${PWD}/prometheus.yaml:/etc/prometheus/prometheus.yml # mount Prometheus config file
grafana:
image: grafana/grafana:latest
depends_on:
- prometheus
ports:
- "3000:3000" # the default port used by Grafana
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Metadata extracted from README on Aug 7, 2026
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