Model Serving (vLLM)
by AaaS · open-source · Last verified 2026-03-01
Deploys a language model as an OpenAI-compatible API server using vLLM. Configures PagedAttention for memory efficiency, continuous batching for throughput, tensor parallelism for multi-GPU setups, and health monitoring endpoints.
https://aaas.blog/script/model-serving-vllm ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: BEngagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- vllm-deployment, openai-compatible-api, paged-attention, continuous-batching, tensor-parallelism
- Integrations
- vllm, docker, nginx, prometheus
- Use Cases
- self-hosted-inference, api-serving, multi-model-deployment, production-inference
- API Available
- No
- Language
- python
- Dependencies
- vllm, torch, uvicorn, fastapi, prometheus-client
- Environment
- Python 3.11+ with CUDA 12 and Docker
- Est. Runtime
- 2-5 minutes for setup; server runs continuously
- Tags
- script, automation, serving, vllm, inference
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
58.6Adoption
66
Quality
86
Freshness
88
Citations
60
Engagement
0