A comprehensive ML model serving solution that streamlines the deployment process with high-performance API serving and batch processing capabilities.
Perfect for teams who need:
- Production-ready model deployment
- High-throughput API endpoints
- Efficient resource utilization
- Multi-framework ML serving
Getting Started Tip: Begin with a simple PyTorch model deployment to understand the service creation workflow before implementing advanced features.
Difficulty: ⭐⭐ (Intermediate)
- Basic ML deployment knowledge needed
- Good DevOps integration
- Clear documentation
- Straightforward containerization
