Compute you already paid for,
now tradable.
Sell the GPU capacity you’re not using. Get GPUs for a month, set up and verified.
Bought in years.
A GPU contract is one solid block: every node, every month, paid for up front.
Capacity sits idle.
The capacity a team isn’t using sits under the line. Already paid for, and today there’s nowhere to sell it.
Now it moves.
We move that window, node by node, to a buyer who needs it. With the data centre’s consent, set up to spec, and verified before any money moves.
GPUs are sold like a building and used like electricity.
You sign for three to five years and pay for all of it, every month. You only need that much in your busiest month.
- 1The gap is paid for, and it perishes.
An unused GPU-month cannot be stored.
- 2Smaller buyers are locked out.
A startup cannot sign three years. Same H100:
$2.70on contract$3.32neocloud hourly$12.29Azure - 3And the gap cannot be sold.
The contract forbids it. The machines are set up for whoever holds them.
Sellers move the capacity they are not using.
Buyers pay under the hourly rate.
The data centre agrees once. The seller lists a window on a link. The buyer takes it at the posted price, delivered and verified. The contract never moves. See a request link
512 of them, paid up front.
How a GPU actually moves.
A block is not a login. The machines are rebuilt for the next tenant, measured against the spec, and accepted before the seller is paid.
- 01Consent0 to 2 days
The data centre agreed once. Each sub-tenant is confirmed against it.
- 02Screening3 to 10 days
KYB, ownership, sanctions and export checks.
- 03Partition and wipe2 to 3 days
Fabric partitioned, disks wiped, firmware pinned to the listing.
- 04Attestationhours
Serials, network and storage measured against the listing.
- 05Acceptance48 hours
The buyer tests in-tenancy. If it fails, it walks.
- 06Recordon release
Hashed and timestamped. Funds release. The trade prints.
- IdentitySerials, firmware, driver, node count and topology, as listed
- FabricAll-reduce of 380 GB/s or better across 32 nodes, one island
- Storage2 GB/s per GPU, sustained
- HealthThe operator's node events plus the buyer's own probes
- Xid classes 13, 31, 48, 79
- ECC errors over threshold
- NCCL bus bandwidth below the floor
- Thermal throttle
Tested on two data centres. Nothing fee-bearing has settled yet.
GPU capacity, priced and traded
like power.
Every window that clears prints a price for one instrument. Physical first. The cash-settled market comes once the tape is long enough to price it.
not launched, maturing the benchmark right now
- RFQ linksBuilding
Brokers send our link instead of a WhatsApp message. The quote comes back through it.
- FeedBuilding
Replies normalised to one instrument, with the source on each print.
- BenchmarkNext
The published term mark per SKU.
- VenuePrototype
The monthly auction where blocks change hands.
- Market makersIn discussion
Two-sided firm quotes at every auction.
A compute desk for the companies that hold compute.
If your GPU bill floats and your prices do not, you hold a position in compute. We read the contracts and tell you what to sell, what to buy short, and what to leave alone.
The first review is free.
Every contract, tenor and price on one page.
The months you will not use, and what they clear for.
What a 40% move in GPU rates does to your margin.
Sign long, take a window, or wait a quarter.
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, product and business. Founded India's second-largest prediction-market platform. Engineering at Amazon and Adobe.
Ex-quant at one of India's largest fintechs; founded prediction-market managed baskets. CFA Level 3.
Capital markets and distribution. An L1 builder, now at Tezos in London. Berkeley and INSEAD.
Markets and trading. Ex-trader and partner at a Chicago trading firm. Institutional market infrastructure.
Nothing here is a derivative.
Physical delivery only. No cash settlement, no net-out. The analogue is electricity, not oil.
Not Yet ;)