# SF Compute enables programmable GPU compute markets with physical settlement

Digest AI · Enterprise & Industry · published 2026-10-20T19:31:57Z

Canonical: https://digestai.news/story/sf-compute-enables-programmable-gpu-compute-markets-with-physical-sett

## Summary

SF Compute, led by CEO Evan Conrad, is building a programmable marketplace for GPU compute that goes beyond simple spot pricing. The company treats GPU capacity like a commodity, using physical settlement – actually delivering the hardware resources rather than a cash‑only contract – and matching orders with detailed constraints such as interruption tolerance, storage backup, and specific GPU generations.

Only about 5% of SF Compute’s total GPU capacity is currently on its order book, but that slice enjoys high liquidity. Customers can buy compute for as short as an hour or lock in capacity for up to three years. Spot prices for B300 GPUs run about $5‑$6 per hour, while reselling the same capacity for inference can generate $25‑$40 per hour, giving the firm an average $25 profit per $100 of capacity sold back.

The platform also handles forward contracts, batch versus live inference leases, and price curves that reflect hardware release cycles. Conrad notes that larger hardware owners may lack the neutrality needed to run a fair exchange, positioning SF Compute as an independent market operator for AI workloads.

## Key points

- SF Compute has placed about 5% of its GPU capacity on a programmable order book, achieving high liquidity for that slice.
- The firm uses physical settlement, delivering actual GPU compute and matching constraints such as interruption tolerance, storage backup, and GPU generation.
- Customers can lease compute from an hour up to three years; spot B300 rates are $5‑$6/hr, while resale inference can earn $25‑$40/hr.

## Why it matters

A programmable compute market could lower AI infrastructure costs, add liquidity, and enable new financial products for GPU workloads.

## Sources

1. [The Programmable Data Center — Evan Conrad, SF Compute](https://latent.space/p/sfcompute2) (Latent Space, 2026-10-20)

## Cite

Digest AI, "SF Compute enables programmable GPU compute markets with physical settlement", 20 October 2026, https://digestai.news/story/sf-compute-enables-programmable-gpu-compute-markets-with-physical-sett

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