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[Doc] Add vllm-iluvatar core Gpu to the Vllm support list - #65557

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@lance5890 lance5890 commented Nov 4, 2026 •

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Overview

related to #62500
Add Iluvatar CoreX GPU to the support list of vLLM hardware

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Pull Request Checklist
  • I used vLLM's /pr-checklist skill. (Mandatory for agents, optional for humans).

  • AI assistance was used during the creation of this PR.

  • Design Fit: Minimizes impact on core components, reuses existing functionality, and justifies added complexity.

  • Testing and Validation: Validates the change and ensures any added tests are meaningful and reliable, with CI coverage or documented CI resource constraints and validation performed outside CI.

  • Code Quality and Style: Keeps code and comments clear and concise, and updates relevant documentation and examples.

  • Pull Request Contents: Includes a brief summary and relevant links, supports claims with evidence, explains root causes and implementation trade-offs, and follows the contributing guide.

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Claude Code Review

This pull request is from a fork — automated review is disabled. A repository maintainer can comment @claude review to run a one-time review.

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/cc @hmellor

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@lance5890
lance5890 force-pushed the add-iluvatat_readme branch from 2aa6f52 to 139656d Compare November 4, 2026 05:37
@lance5890 lance5890 changed the title Add vllm-iluvatar core Gpu to the Vllm support list [Doc] Add vllm-iluvatar core Gpu to the Vllm support list Nov 4, 2026

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You could also add it to docs/README.md so it shows up there too

Signed-off-by: lan.tian <tlan@redhat.com>
@lance5890
lance5890 force-pushed the add-iluvatat_readme branch from 139656d to 47af1df Compare November 5, 2026 01:12
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mergify Bot commented Nov 5, 2026

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Documentation preview: https://vllm--65557.org.readthedocs.build/en/65557/

@mergify mergify Bot added the documentation Improvements or additions to documentation label Nov 5, 2026
Comment thread docs/README.md
- Efficient multi-LoRA support for dense and MoE layers
- Support for NVIDIA GPUs, AMD GPUs, and x86/ARM/PowerPC CPUs. Additionally, diverse hardware plugins such as Google TPUs, Intel Gaudi, IBM Spyre, Huawei Ascend, Rebellions NPU, Apple Silicon, MetaX GPU, and more.
- Support for NVIDIA GPUs, AMD GPUs, and x86/ARM/PowerPC CPUs. Additionally, diverse hardware plugins such as Google TPUs, Intel Gaudi, IBM Spyre, Huawei Ascend, Rebellions NPU, Apple Silicon, MetaX GPU, Iluvatar CoreX GPU, and more.

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Thanks, updated!

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