Beginner score
48/100
Competition workspace
适合具备 BMC 或嵌入式 Linux 开发经验，并能处理服务器温度、风扇转速、CPU/内存/磁盘/网卡负载数据的个人或团队。若选择整机方向，还需要能在 BMC 端实现 AI 决策模块，并调用风扇控制、CPU/GPU 调频调压等接口；可使用飞腾设备、其他平台或 PhyPin 虚拟机完成开发。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
48/100
Learning value
60/100
Estimated effort
12-40 hours
Metric
Official scoring is published on the Op…
适合具备 BMC 或嵌入式 Linux 开发经验，并能处理服务器温度、风扇转速、CPU/内存/磁盘/网卡负载数据的个人或团队。若选择整机方向，还需要能在 BMC 端实现 AI 决策模块，并调用风扇控制、CPU/GPU 调频调压等接口；可使用飞腾设备、其他平台或 PhyPin 虚拟机完成开发。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
BMC/OpenBMC 开发
嵌入式 Linux
温度与功耗传感器采集
轻量级神经网络
CPU/GPU 调频调压
AtomGit 与 Git
The real friction is usually not library usage. It is validation, time allocation, and task framing.
核心难点是在计算、内存和存储资源受限的 BMC 上，做出既能根据温度或主机负载动态决策、又真正可控制硬件的轻量化 AI 模块。除了算法效果，还要压缩可执行文件和内存占用，并完成可运行代码、文档、代码规范检查及现场演示。
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.
These competitions share a similar domain or difficulty level.
Separate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
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.