SF Compute launches programmable data center with GPU scheduling and market settlement
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SF Compute has launched a programmable data center platform enabling GPU scheduling and market settlement. Evan Conrad likens the shift to a hotel model, moving from sub-leasing compute capacity to building cloud operations. The platform provides real-time resource scheduling, allowing users to adjust cluster scales by redrawing boundaries. It addresses the limitation of traditional cloud providers offering only single InfiniBand networks, offering greater flexibility for cluster management.
Written with AI from the reporting · updated 10/23/2026
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- 1Unclassified fact stationOct 21, 03:45single sourcereport-time onlyrevised
SF Compute 发布可编程数据中心，实现 GPU 可编程调度与市场结算
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- Oct 21, 03:45
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- Latent SpaceRelated fact: single sourceFact occurrence time unverifiedSource report revisedEvan Conrad of SF Compute explains how programmable infrastructure is transforming GPU trading
Report first recorded Oct 21, 03:45
Evan Conrad of SF Compute describes the evolution from subleasing GPU clusters to building full cloud operating capabilities, enabling physical settlement of compute trades. The platform matches orders with varying constraints, allowing GPU trading while technology changes, though liquidity is spread across more variants. Key factors such as GPU generation, networking, and software configuration affect contract terms and pricing, bringing physical cluster constraints directly into the market.
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