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For Users

Fractional Compute. Full Results.

Run training and inference on fractional GPUs/CPUs; pay only for the slices you use.

Run training and inference on fractional GPUs/CPUs; pay only for the slices you use.

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For Users

Pay Per Second. Ship More.

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OVERVIEW

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OVERVIEW

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OVERVIEW

Utilization, Not Waste.


Run training, inference, and batch jobs on micro-compute: per-second GPU-core and vCPU slices with RAM by the GB-hour. Kova packs multiple jobs per machine and produces verifiable usage receipts, so you only pay for what you actually consume.

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CHALLENGES

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CHALLENGES

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CHALLENGES

Waste and wait

Traditional instance rentals force you to over-provision, sit in queues, and pay for idle capacity. Costs are hard to attribute to outcomes.

“How do we get reliable throughput without renting whole machines?”

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SOLUTIONS

Slice, Schedule, Verify


  • Slice: request micro-units (vCPU-sec, GPU-core-sec, GB-hr) with price caps and region preferences.


  • Schedule: a local agent runs many jobs per host (fractional GPUs/CPUs), with checkpointing to survive interruptions.


  • Verify: Proof-of-Utilization (PoU) creates cryptographic receipts that reconcile to invoices.

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RESULTS

Measured impact


Those gains come from packing many jobs per machine and per-second micro-unit billing—you’re paying for outcomes, not idle instances. With price caps and Proof-of-Utilization receipts, spend stays predictable and provable.

*Typical pilot outcome; varies by workload and region.

–55%

effective cost per result*

<2 min

average time-to-start

0 lock-in

unified API across providers

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Get Started Now

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Get Started Now

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Get Started Now