Pay per execution,
metered by kernels.
ArkNet charges for the work your program actually performs — measured directly from kernel execution, not wall-clock time. Scale across fragmented GPUs with a mathematically guaranteed max burn.
Hard caps per execution, enforced before work begins.
Each execution declares a maximum burn. ArkNet escrows that maximum, runs the execution (potentially across multiple GPUs), then settles the final cost from kernel-metered receipts. Unused escrow is instantly released.
Spot market
For scalable inference and fault-tolerant jobs.
- Per execution billing (not time-based)
- Kernel-metered usage (work-based)
- Mixed GPU segments allowed
- Escrow-first settlement with max burn
- Marketplace rates from hardware owners
Reserved cluster
Guaranteed availability for production APIs.
- Priority access guarantees
- SLAs and support targets
- Private networking options
- Monthly invoicing (predictable)
- Capacity planning assistance
Enterprise
For high-compliance and bespoke deployments.
- Full isolation + dedicated capacity
- Custom identity + networking
- Compliance programs (SOC2, HIPAA)
- 24/7 dedicated support options
- Bespoke GPU configurations
A quick comparison
Cloud bills by time. ArkNet bills per execution using kernel-metered work. “Eqv/hr” helps you sanity-check market rates against legacy providers.
| Provider | H100 (80GB) | A100 (80GB) | RTX 4090 (24GB) | Billing model |
|---|---|---|---|---|
ArkNet SpotExecution-based | $1.85 eqv / hr | $1.10 eqv / hr | $0.25 eqv / hr | Per execution (kernel-metered) |
AWS (p5.48xlarge) | $4.10 / hr | $3.67 / hr | — | Per hour |
Google Cloud (A3) | $3.95 / hr | $3.40 / hr | — | Per minute |
Lambda Labs | $2.49 / hr | $1.29 / hr | — | Per hour |
* “Eqv/hr” is a convenience projection from kernel-metered work on recent workloads. You are strictly billed per execution.
Frequently Asked Questions
Straight answers on per-execution billing, kernel metering, and the max burn mechanics.
Ready to deploy?
Start on spot executions, set your max burn constraints, and scale effortlessly across the decentralized marketplace.