ScriptAI Infrastructurev1.0

Docker ML Deployment

by AaaS · open-source · Last verified 2026-03-01

Containerizes ML models and inference servers with optimized Docker images for production deployment. Includes multi-stage builds for minimal image size, GPU support configuration, health checks, and docker-compose setups for full inference stacks.

https://aaas.blog/script/docker-ml-deployment ↗

C+

C+—Average

Adoption: BQuality: B+Freshness: B+Citations: C+Engagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: multi-stage-builds, gpu-configuration, health-checks, compose-setup, image-optimization
Integrations: docker, vllm, torch, fastapi
Use Cases: model-containerization, inference-server-deployment, development-environment, cloud-deployment
API Available: No
Language: python
Dependencies: docker, vllm, torch, fastapi, uvicorn
Environment: Python 3.11+ with Docker and NVIDIA Container Toolkit
Est. Runtime: 5-15 minutes for build; deployment 1-2 minutes
Tags: script, automation, docker, deployment, containerization
Added: 2026-03-17
Completeness: 100%

Index Score

54.2

Adoption

Quality

Freshness

Citations

Engagement

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