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Linux Foundation (LF) AI & Data is pleased to introduce DeepSpeed, a deep learning optimization library, as its latest incubation project. Contributed by Microsoft, DeepSpeed empowers developers to streamline distributed training and inference, making it easier to scale AI models efficiently while minimizing costs and operational complexity.

What is DeepSpeed?

DeepSpeed is designed to optimize deep learning workflows, providing a robust set of features that enhance the performance, scalability, and cost-efficiency of AI model training and deployment. It enables seamless scaling across thousands of GPUs while also optimizing resource utilization for constrained systems, addressing key technical challenges in AI development.

Key features of DeepSpeed include:

  • Scalable Model Training: Supports dense and sparse Mixture-of-Experts (MoE) models with billions or trillions of parameters, scaling seamlessly across thousands of GPUs.
  • Heterogeneous Hardware Support: Offers compatibility with diverse hardware platforms, including Nvidia, AMD, and Intel GPUs, ensuring flexibility and adaptability in deployment.
  • Optimized Resource Use: Facilitates training and inference on systems with limited GPU capacity, maximizing hardware efficiency.
  • Low-Latency Inference: Achieves minimal latency and high throughput for real-time model inference.
  • Compression Capabilities: Reduces model size and inference latency, lowering costs for large-scale deployments without sacrificing performance.

Advancing Open Source AI Together

DeepSpeed’s addition as an incubation project under LF AI & Data strengthens the foundation’s mission to foster innovation in AI and data technologies. By joining LF AI & Data, DeepSpeed gains access to a thriving ecosystem of open-source projects, a global network of contributors, and robust technical and operational resources. This collaboration enables the DeepSpeed community to scale its efforts, enhance interoperability with other projects, and drive broader adoption of its optimization library. Additionally, LF AI & Data’s focus on open governance and community-driven development ensures that DeepSpeed’s growth aligns with the shared goals of transparency, inclusivity, and innovation in the AI space.

Learn more about DeepSpeed and how to get involved by visiting the Deepspeed website.

LF AI & Data Resources

Access other resources on LF AI & Data’s GitHub or Wiki