Why AI Tasks Do Not Simply Move to Wherever Electricity Is Cheapest
哪里电便宜，算力就往哪里跑？没那么简单
- Who
- Leifeng.com
- What
- explained the technical and commercial challenges of cross-cluster AI workload scheduling for power coordination
- Quote
雷峰网在共绩科技办公室见到了创始人兼CEO付智，这位有着“00后创业者”标签的年轻创始人，谈起行业频繁提及的算力调度，措辞相当直接。
What happened
Leiphone examines the technical and market hurdles to shifting AI workloads toward regions with more available or cheaper power. Moving a task across clusters requires access to the destination hardware and advance preparation of its models, data, and software; pricing also matters, since a scheduler may see compute rental costs rather than the grid’s real-time electricity price. Zongji Technology CEO Fu Zhi says the company has explored distributed computing since 2023.
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See the full storyLeiphone Examines the Hurdles to Moving AI Workloads Across ClustersThe story so far
Leiphone examined the technical and commercial hurdles to shifting AI workloads toward regions with more available or cheaper power. Moving a task across clusters requires access to the destination hardware and advance preparation of its models, data, and software. A scheduler may also see compute rental costs rather than the grid’s real-time electricity price, complicating decisions based on power costs. Zongji Technology CEO Fu Zhi said the company has explored distributed computing since 2023.
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