Solutions · AI/ML workloads
Source training and inference capacity on-chain
AI teams are capacity-constrained and price-taking. VirtEngine inverts the relationship: describe what you need, let providers bid, verify hardware through published benchmarks, and pay only for metered usage from escrow you control.
Who this is for: ML teams that need training or inference capacity without hyperscaler lock-in.
The problem
The problem: allocation queues and opaque pricing
GPU allocation at major clouds means waitlists, committed-use contracts, and prices set by scarcity you can't see. Specialized GPU clouds improve price but reintroduce single-vendor risk — and rarely let you verify the hardware behind the SKU.
How VirtEngine addresses it
Grounded in what the protocol actually does
Demand-side market power
Post an order specifying accelerators, memory, region, and required attributes; provider daemons bid against it. Competition happens per order, continuously — not per contract cycle. Benchmark records (x/benchmark) let you verify measured performance before accepting a bid.
Batch jobs on real HPC
Large training runs fit the HPC path: on-chain jobs with walltime and partition requirements executing on SLURM-class clusters through native adapters — supercomputing-grade interconnects included, no re-platforming on either side.
Protect the model itself
For proprietary weights and sensitive training data, require attested enclave execution (x/enclave) and encrypted secret delivery (x/encryption). Counterparty risk is bounded by VEID verification and on-chain reputation in both directions.
Economics
Economics
You fund escrow; providers draw against it only as metered usage settles — hourly records, 24-hour dispute window, anomaly detection before submission. Idle budget returns to you when the deployment closes. Cost control is structural, not a billing-alert afterthought.
Getting started
The path in
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Describe the workload
Resources, accelerator classes, region, and attribute constraints in a deployment spec.
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Set placement requirements
Benchmarked hardware, audited attributes, or attested enclaves as needed.
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Fund escrow and post the order
Bids arrive from matching providers; you choose the winner.
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Monitor usage and settlement
Metered records and settlement state are queryable chain data.
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