Embeddings
Large batches with clear inputs, outputs and deterministic accounting.
Abakos is designed as a self-serve hourly rental marketplace, like Akash or Vast.ai, plus funded batch jobs for programmatic demand — both settle through the same escrow and can unlock the useful-work block reward.
Browse provider listings by GPU model, region and price. Launch an instance instantly, pay per minute from a stablecoin balance — the same model as Vast.ai or Akash's reverse-auction market.
Post a workload with a deadline and input commitment, lock stablecoin in escrow, and let an eligible provider claim it. Used by the Developer API and Abakos Chat under the hood.
| Provider | GPU | Region | Price / hr | Reward-eligible |
|---|---|---|---|---|
| gpu_provider_07 | RTX 4090 24GB | EU-West | target: low | Yes — supported workload |
| gpu_provider_12 | H100 80GB | US-East | target: mid | Yes — supported workload |
| gpu_provider_21 | A100 40GB | AP-South | target: mid | Pending — arbitrary workload |
Illustrative target design only. No listings, prices or providers are live. Real prices will be set by providers, not by Abakos.
Choose a registered open model, workload, input commitment and deadline.
Lock stablecoin in escrow. Unfunded jobs never count as useful work.
An eligible provider claims the job and commits hardware capacity.
The provider submits output, work units and the PoUW certificate.
Payment, protocol fee, burn and block reward become publicly traceable.
Renting a raw GPU for arbitrary code is easy; proving that the cycles were "useful" is not. Abakos ships verification workload-by-workload, starting with batch inference.
Large batches with clear inputs, outputs and deterministic accounting.
Structured outputs suitable for verification and retries.
Streaming and unverified rental sessions earn the 25% floor only, until proof coverage expands.
Abakos does not guess whether matrices look like AI. A session or job must be funded, valid and bound to proven work.
On-chain escrow, per-minute metering, the listing matcher, model registry and settlement are specified but not implemented in production.
Data centers and GPU cloud operators can bring capacity to the network as compute partners — see the partner track.
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