Compute you already
paid for, now tradable.
GPU contracts cannot be resold, so we never resell one. The buyer is added underneath the seller’s contract with the provider’s written consent - and dead capacity becomes a market with a published price.
Sellers move the months they will not use.
Buyers pay under the hourly rate.
Idle months earn nothing, so any price beats holding them — and the buyer skips the three-year commitment. One trade, end to end.
512 of them, paid up front. That is how compute is sold.
Sell the months you will not use, for cash.
Buy them today, under the on-demand rate.
NVIDIA H100 reference rates. On-demand runs about 2× a one-year committed rate (Compute Exchange, 2026). Illustrative — not a quote.
GPU capacity, priced and traded
like power.
Brokers send our RFQ link instead of a WhatsApp message. Every reply comes back normalised to one instrument, and that is where the price comes from.
We start physically settled — every trade is a block of GPUs somebody actually runs on. The cash-settled commodity exchange comes after that, once the physical tape is long enough to price it.
not launched, maturing the benchmark right now
- 01RFQ linksBuilding
Brokers send our link instead of a WhatsApp message. The quote comes back through it.
- 02FeedBuilding
One instrument, one price, provenance on every print.
- 03BenchmarkNext
The published term mark per SKU.
- 04VenueBuilt
The monthly auction where blocks change hands.
- 05Market makersIn discussion
Two-sided firm quotes at every auction.
The software is copyable.
The access is not.
A term market needs three things at once: deal flow to price from, a venue to trade on, and a seat both sides trust.
Brokers send us their asks. Every conversation is logged, and the price is built from those notes.
Our advisors built exchanges and chains. These are people they know, not a cold pipeline.
A broker runs its own book, so it can never be neutral. The same firm buys one month and sells the next.
Electricity could not be stored either.
Power solved it in a fixed order. Compute is doing it out of order.
In power the exchange came first. In compute the futures did.
A contract cannot settle against a number nobody publishes. We are building the layer underneath, in the order power did.
A forward price is a forecast, not a financing cost. It is why the compute curve can fall while spot rises, and why the oil analogy misleads.
Today it is a private negotiation with no price and no exit.
Four of the eight biggest providers won't publish a term price at any size. The four that do quote the same H100 from $3.19 to $6.16 an hour.
A listed price isn't a price you can fill. In April 2026, half the providers asked for even 64 GPUs were completely sold out.
Non-refundable, non-cancellable, non-transferable. The best-documented buy-back pays in credits that expire; its own worked example recovered 2.8%.
We have run an exchange before.
A prediction market is an exchange with the hard parts left in. We built and ran India’s second-largest one.
Markets and product. Founded India's second-largest prediction-market platform. Engineering at Amazon and Adobe.
Quant and operations. Quant at one of India's largest fintechs; founded a prediction-market hedge fund. CFA Level 3.
Capital markets and distribution. An L1 builder, now at Tezos in London. Berkeley and INSEAD. Brings the relationships that take a market from tokenisation to venue listing.
Nothing here is a derivative.
Physical delivery only. No cash settlement, no net-out. The analogue is electricity, not oil.
Not Yet ;)