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Incredibly Fast BLOOM Inference with DeepSpeed and Accelerate

Open-source BLOOM model now runs 5-10x faster. Here's how Hugging Face and Microsoft did it.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

Inference optimization tools (DeepSpeed + Accelerate) dramatically lower the operational cost and latency barrier for running large language models, making open-source model deployment viable at scale for more organizations.

The key facts

10 to know
  1. BLOOM model inference optimization via DeepSpeed and Accelerate

  2. Focus on inference speed improvements for open-source LLM deployment

  3. Joint work between Hugging Face and Microsoft

  4. Published September 2022 — foundational period for open-source LLM infrastructure

  5. Reduces compute barriers for model serving and deployment

  6. BLOOM inference optimization via DeepSpeed and Accelerate

  7. Focus on inference speed and cost efficiency

  8. Collaboration between Hugging Face and Microsoft

  9. Published September 2022 (historical but foundational)

  10. Open-source inference optimization as infrastructure play

Go to the source

Hugging Face Bloghuggingface.co

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