Model Serving
by AaaS · open-source · Last verified 2026-03-01
Deploys and serves language models in production environments with high availability and low latency. Covers framework selection (vLLM, TGI, Triton), batching strategies, GPU memory management, and auto-scaling configurations for different workload profiles.
https://aaas.blog/skill/model-serving ↗C+
C+—Average
Adoption: BQuality: AFreshness: ACitations: C+Engagement: F
Specifications
- License
- MIT
- Pricing
- open-source
- Capabilities
- framework-setup, batching-optimization, gpu-management, auto-scaling, health-monitoring
- Integrations
- vllm, triton, docker, kubernetes
- Use Cases
- production-deployment, self-hosted-inference, multi-model-serving, edge-deployment
- API Available
- No
- Difficulty
- advanced
- Prerequisites
- Supported Agents
- Tags
- serving, deployment, inference, production, infrastructure
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
56.1Adoption
62
Quality
84
Freshness
86
Citations
58
Engagement
0