About DockerFit

AI/ML Infrastructure Configuration Engine

Our Mission

DockerFit eliminates the frustration of configuring AI/ML environments by providing an intelligent Dockerfile generator based on verified compatibility matrices.

We understand the pain of CUDA version hell, driver incompatibilities, and cryptic error messages. That's why we built DockerFit β€” to give you confidence that your environment will work before you spend hours building images.

What We Do

1

Compatibility Matrix Database

We maintain a curated database of tested compatibility combinations for PyTorch, TensorFlow, vLLM, and more. Every framework version is mapped to compatible CUDA versions, Python versions, and NVIDIA drivers.

2

Intelligent Configuration

Select your deployment target (AWS g5, Hugging Face Spaces, local development, etc.) and DockerFit automatically recommends the best CUDA version and generates optimized Dockerfiles with proper settings.

3

Production-Ready Output

Generated Dockerfiles include best practices: multi-stage builds, cache optimization, minimal image sizes, proper user permissions, and platform-specific configurations.

Key Features

🎯 Hardware Target Selection

Choose from 12+ deployment targets including AWS EC2, GCP, Azure, Hugging Face Spaces, and more

πŸ” Smart CUDA Matching

Automatically selects compatible CUDA versions based on your framework and hardware choice

πŸ“¦ Multiple Frameworks

Support for PyTorch (9 versions), TensorFlow (8 versions), vLLM, and modern web frameworks

πŸš€ Optimized Images

Multi-stage builds, BuildKit cache mounts, and minimal runtime dependencies

🌐 Bilingual Support

Full Chinese and English documentation with localized content

πŸ”§ Error Fix Guides

Detailed troubleshooting for common Docker + GPU issues

Built With

Astro 5 React 19 TypeScript Tailwind CSS Cloudflare Pages

Data Sources

Our compatibility data is sourced from official documentation and community testing:

  • PyTorch: Official compatibility matrix and Docker Hub tags
  • TensorFlow: Official release notes and tested GPU configurations
  • NVIDIA: CUDA compatibility guide and driver requirements
  • Cloud Providers: AWS, GCP, Azure GPU instance specifications

Get in Touch

Have questions, suggestions, or found an issue with our compatibility data? We'd love to hear from you!

[email protected]

Built with ❀️ for the AI/ML community

Β© 2025 DockerFit. All compatibility data sourced from official documentation.