
The hard part of compute futures will always be when somebody needs the compute at the other end.
The contracts announced so far are cash-settled. They can hedge the reference price of a B300 or H100 hour without anyone having to deliver a cluster.
The Nebius example shows why physical delivery is harder. Investor analysis of its B300 deals puts longer-term capacity around $4.25 per GPU-hour and near-term capacity above $9. The same chip can cost more than twice as much. The difference is obviously contract length and the value of contiguous clusters.
At the end of the day a buyer needs more than B300 hours. They need a specific number of GPUs in the same place, connected with the right networking, available for the right period, in the right geography and with the required uptime and software.
A cash index can average across those differences, but a marketplace delivering the compute has to decide which capacity is genuinely interchangeable.
Narrow delivery specifications fragment liquidity across thousands of products. Broad specifications can leave the buyer with compute that technically matches the contract but cannot run the intended workload.
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Mark Rydon指出算力期货的核心难点在于实物交割。目前合约多为现金结算,虽可对冲价格,但无法解决物理集群的交付问题。Nebius案例显示,长期与短期算力价格差异巨大,且买家需要特定网络、地理位置及软件支持。现金指数可平均化差异,但实物市场面临流动性碎片化与规格匹配的两难困境。
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