Beginner score
30/100
Competition workspace
适合已有 RISC-V 平台开发或系统移植经验的个人或团队，并且能围绕一个明确方向投入：Apache Doris 数据库优化、VLLM/Qwen 大模型推理、QEMU/KVM 虚拟化、端侧 AI 方案，或 ROS2/实时操作系统适配。参赛者还需要能在指定或参考的 RISC-V 硬件与国产操作系统环境中完成部署、测试和代码交付。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有 RISC-V 平台开发或系统移植经验的个人或团队，并且能围绕一个明确方向投入：Apache Doris 数据库优化、VLLM/Qwen 大模型推理、QEMU/KVM 虚拟化、端侧 AI 方案，或 ROS2/实时操作系统适配。参赛者还需要能在指定或参考的 RISC-V 硬件与国产操作系统环境中完成部署、测试和代码交付。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
RISC-V 开发与调试
openEuler 系统部署
C/C++ 性能优化
Docker 可复现环境
性能基准测试与分析
技术文档与演示制作
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点不只是实现功能，而是在 RISC-V 环境中稳定完成移植并拿出可复现、量化的优化证明；不同题目都要求部署、性能测试和完整材料。作品还必须提交源码、模型及 Docker 运行环境、技术报告、配音 PPT 和运行演示视频；获奖作品须按要求开源。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
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Rules, files, submission details, and the live deadline still come from the official page.
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Official metric is not published on the OpenAtom 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.