Your idle GPU pays in MYCEL

Agents, provers and indexers on Solana need GPU work every second of the day. Point your card at the substrate and it earns while you sleep — paid per second, straight to your wallet.

EARNINGS ESTIMATE LIVE
0MYCEL / MONTH
0 / hr 0 / day 0% utilisation

At the rate this card clears for right now, after the 2% burn. Utilisation is what the substrate reports for that model — not a best case.

The gap

AI is buying compute. Almost none of it is on-chain

Every one of these workloads runs on Solana today and buys its GPU time off-chain, in fiat, from a company. That money leaves the ecosystem. MYCEL routes it to whoever supplies the hardware instead — and the hardware can be yours.

01 — AGENTS

Inference on a schedule

An agent that trades, posts or routes has to run inference somewhere. Today that is an API key on a company's server, paid in dollars by whoever deployed it.

02 — PROVERS

Proving is GPU work

ZK compression and every proof system on this chain generate proofs continuously. It is the clearest case of compute a protocol needs and cannot produce itself.

03 — INDEXERS

State into embeddings

Solana produces more state per day than any chain running. Turning that into features and search scales with the chain, not with a roadmap.

04 — SIMULATION

Bursts, then nothing

Searchers, risk engines and backtests burn compute in spikes. Hourly pricing prices that out. Per-second pricing does not.

Interface

A job is a transaction

Renting is an instruction, not a checkout flow. Anything that can sign — a wallet, a bot, or another program via CPI — opens a rental and pays for it while it runs.

rent.rsLIVE RATES
// an agent buying its own inference. no account, no card.
mycel::rent(
    card:  "H100 SXM",
    rate:  8400,   // MYCEL / hr, discovered by the market
    for_s: 420,     // pay for 7 minutes. not an hour.
)?;
// stream opens · job runs · stop it and it stops paying

Why it has to be on Solana. Billing by the second needs finality faster than the billing unit, which rules out most chains outright. But the reason it belongs here is composability: a compute market a program can call is infrastructure the rest of the chain builds on. One bought with a credit card is not.

Live market

What each card earns

Rates are in MYCEL per GPU-hour and discovered by the market — when a model is busy its remaining cards clear higher. Load is how much of that model is already working, so it is also how likely your card is to be picked.

AcceleratorVRAMNodesLoad Rate

Rates move with the market. What a card clears for depends on how much of that model is already working — the numbers here are what nodes report right now, not a price list. Rent one and the stream opens against the rate you accepted.

For hosts

Your idle card is someone's job queue

List what you have, set your own floor, keep 98% of what it earns. No approval queue, no minimum term, drop off between jobs whenever you want.

The contract handles

  • Matching. A job goes to the closest node that can hold it.
  • Billing. The stream pays you per second while it runs.
  • Payouts. Straight to your address, same transaction.
  • Escrow. The renter's MYCEL is locked before the job starts.
  • Verification. Random re-benchmarks catch anyone lying about a card.

You handle

  • Uptime. A card that does not answer does not earn.
  • Connectivity. Your uplink is part of what you sell.
  • The hardware. Power, cooling, whatever it costs to run.
  • Your floor. Too high and it does not clear. Your call.

That is the whole list. There is no third column where a company takes a percentage for making introductions.

Select a card and a floor to see what it would earn at the substrate's current utilisation.
Node client

Check your own card first

One file, standard library only, 270 lines. It reads your machine and tells you what the card is worth here. It makes no network calls at all.

terminal
$ curl -O https://mycel.rent/node/mycel_node.py
$ python mycel_node.py

  MYCEL  node readiness check
  ------------------------------------------------
  NODE   MY-005EA9B0AA
  HOST   Windows 11 · python 3.14.2

  [0] NVIDIA GeForce RTX 3060 Ti
      VRAM  8 GB     DRIVER 610.88
      TEMP  51°C     LOAD   41%
      RATE  240 MYCEL/hr  · published rate

  SUBSTRATE  ready to join
  Run with --join to put this card on the substrate.

What it reads

Card name, VRAM, driver, GPU UUID, power limit, clock, PCIe width, temperature, utilisation. Nothing else on your machine.

What it sends

Nothing. There is no substrate to call yet. Your GPU UUID never leaves the box — the node id is a SHA-256 prefix of it.

Measured vs looked up

Every figure is read from your driver. The only number it measures itself is --bench, skipped unless torch is installed.

Read the source Apply with this card
Documentation

The mechanics, the money, and what is not built