Detailed Introduction
OneFlow is a deep learning framework focused on scalable training and efficient distributed execution. It provides a simple programming model and high-performance runtime for large-scale training scenarios, targeting both research and production use cases.
Main Features
- Efficient distributed training scheduling and communication optimizations.
- Modular operator support and custom operator extensibility.
- Production-ready pipeline and model parallelism solutions.
- Tooling for operator optimization and deployment examples.
Use Cases
OneFlow fits large-scale model training, distributed clusters, model-parallel training, and enterprise-grade training pipelines, used by research labs and AI platforms requiring robust engineering support.
Technical Features
The framework optimizes scheduling, memory management and communication layers, supports CUDA backends and integrates with common toolchains to ease migration from prototypes to production.