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  3. AMD 2025 分布式推理算子优化挑战赛
ModelScopeLLMIntermediateRegistration closed

AMD 2025 分布式推理算子优化挑战赛

A intermediate llm competition requiring roughly 10–30 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
10–30 hours
Registration deadline
Sep 21, 2025
Compute
Free GPU OK
OverviewPreparationSource

Overview

Who this competition fits

适合已有 GPU 算子开发和分布式推理优化经验的开发者,尤其是能处理单节点 8 GPU 全互连环境下 GEMM、ReduceScatter、AllGather 等算子的参赛者。中国大陆参赛者还需要能够通过官方 CLI 或 Discord 提交算子。

Read the original official blurb
参赛者将致力于开发和优化多GPU分布式推理算子,并在AMD GPU上实现LLM性能的重大提升。挑战赛于北美太平洋标准时间2025年8月23日开放注册,算子提交期从8月30日开始,至2025年10月13日结束。参赛者有资格赢取高达100,000美元的奖金,并有机会被邀请前往美国旧金山参加特别颁奖典礼。 Official category: 应用开发赛. Participants: 351. Organizers: AMD, 魔搭社区, Datawhale.

Preparation

From registration to a first submission

  1. 01

    GPU 算子开发

  2. 02

    分布式推理

  3. 03

    GEMM 优化

  4. 04

    ReduceScatter 通信

  5. 05

    AllGather 通信

  6. 06

    CLI 或 Discord 提交

Before you commit: 主要难点是为单节点 8 GPU 全互连场景实现并提交多类高性能算子,包括 GEMM 与集合通信组合算子;不同算子有各自的提交窗口,参赛流程也要求先补全报名信息。

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
ModelScope
Last checked
Aug 26, 2025

Entry assessment

est.
55

Prepare before joining

Overall fit estimate

Beginner fit55/100
Learning value58/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Timeline

Registration deadline
Sep 21, 2025

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Aug 26, 2025
Published on this site
Aug 11, 2026

Official metric is not published on the ModelScope competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.