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llm-d reaches 1.0, adding multi-tenant quality of service and zero-downtime upgrades for serving open models.

The maintainers' post says IBM Research serves up to 3,000 concurrent coding agents on 544 NVIDIA H100 GPUs using it.

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The llm-d maintainers published llm-d v1.0 on 20 October 2026.

The release post says it brings multi-tenant quality of service, zero-downtime upgrades and agent-aware serving on a stable v1 API. It says the project has more than 500 contributors from over 25 organizations, and that it serves open models through both vLLM and SGLang.

Its site identifies llm-d as a CNCF Sandbox project under the Apache 2.0 licence. The post reports that IBM Research serves up to 3,000 concurrent coding agents on 544 NVIDIA H100 GPUs using llm-d; that figure is the post's own account of a user's deployment.

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1 llm-d v1.0: State-of-the-art inference, ready for Day 2llm-d maintainers · 20 Oct 2026 · 5 facts Open the source archived copy
  1. The llm-d blog post "llm-d v1.0: State-of-the-art inference, ready for Day 2" is dated 20 October 2026.

    October 20, 2026
    cite
  2. The llm-d site says: "llm-d 1.0 is here! State-of-the-art inference, ready for production operations: multi-tenant quality of service, zero-downtime upgrades, and agent-aware serving on a stable v1 API."

    llm-d 1.0 is here! State-of-the-art inference, ready for production operations
    cite
  3. The post says llm-d is "built by more than 500 contributors from over 25 organizations" and serves open models "through both vLLM and SGLang".

    built by more than 500 contributors from over 25 organizations ... serving open models through both vLLM and SGLang
    cite
  4. The site footer says llm-d is a CNCF Sandbox project and carries an Apache 2.0 License notice.

    llm-d is a CNCF Sandbox project ... Apache 2.0 License
    cite
  5. The post says IBM Research self-hosts frontier open models on llm-d for coding agents and chip-design agents, "serving up to 3,000 concurrent coding agents on 544 NVIDIA H100 GPUs". The figure is the llm-d maintainers' account, not IBM's.

    serving up to 3,000 concurrent coding agents on 544 NVIDIA H100 GPUs
    cite

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