行业动态
www.freecodecamp.org ·
@Beau Carnes
AI 数据中心解剖：从电网到 GPU 的完整基础设施课程
freeCodeCamp 发布一部长约 8 小时的课程，系统讲解 AI 数据中心：高压配电与备份系统、液冷与散热、光网络互连、多吉瓦级设施的建设流程，以及 GPU 云托管与容量合同的经济性。课程从电网电力一路讲到执行矩阵乘法的 GPU。
AI推荐理由 freeCodeCamp 发布 8 小时长课程，系统讲解 AI 数据中心从电网到 GPU 的供电、液冷、光互连与建设经济性，内容结构清晰、面向工程实践，对理解算力基础设施有实际学习价值；属课程发布而非新闻，时效性一般。
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Artificial intelligence models like GPT-4 and Claude require massive, highly complex physical infrastructure. We just published a new full-length course on the freeCodeCamp.org YouTube channel that takes you deep inside the data centers powering the AI revolution. This course traces the entire journey of electricity from the utility grid all the way down to the individual GPUs executing matrix multiplications. The course breaks down the complete anatomy of an AI factory, teaching you: How high-voltage power distribution networks and backup systems route reliable electricity to server racks. The mechanics of advanced liquid cooling and global heat rejection systems required to keep massive GPU clusters from overheating. The complex optical networking and interconnects needed for thousands of chips to communicate during training and inference. The engineering, procurement, and physical construction processes for these multi-gigawatt mega-facilities. The real-world economics behind GPU cloud hosting, capacity contracts, and infrastructure investments. Head over to the freeCodeCamp.org YouTube channel to watch the full course today (8-hour watch).