Building an open
market for compute
Kracht connects GPU demand with idle capacity to make compute clearer, fairer, and less wasteful.
What we are building
Compute should be easier to find and safer to share
AI work depends on GPUs, but access is still fragmented. Kracht is being built as a two-sided marketplace where renters can launch capacity quickly and providers can make spare hardware useful without hiding the tradeoffs.
What we do
A two-sided marketplace. Teams rent compute by the second; providers list available GPUs. The platform handles matching, isolation, metering, and payout workflow.
Why it matters
Cheaper, faster GPU access helps more teams train, fine-tune, and ship without needing to own every accelerator they use.
How we're different
No lock-in, clear usage pricing, and compact security boundaries: marketplace economics paired with dedicated, attested execution.
Trust principles
The principles that shape the marketplace
The product only works if renters and providers can understand the price, the risk boundary, and the rules of the exchange.
Fair by default
Transparent pricing, per-second metering, and clear marketplace rules. Both sides should understand the same numbers.
Waste is the enemy
Idle GPUs are unused capability. The marketplace is built to make spare capacity easier to put to work.
Speed is a feature
Fast launch paths matter. Marketplace workflows should stay quick without hiding verification or security steps.
Both sides win, or nobody does
A marketplace only works when renters and providers both come out ahead. We optimize for the whole loop.
The flywheel
A marketplace that compounds
Every side of the trade makes the other side better. The loop is the product. And it gets stronger the more it turns.
More idle GPUs get listed
Owners turn dormant hardware into income.
Prices fall
More supply on the market pushes the going rate down.
More teams rent
Cheaper compute pulls in more builders and bigger runs.
Demand rewards owners
Higher utilisation makes listing even more worth it.
Our story
From idle silicon to a compute market
The idle-GPU problem
The starting point was simple: compute can be scarce for builders while useful hardware sits underused elsewhere.
First marketplace loop
The early product focused on the core exchange: a renter launches work, a provider supplies capacity, and both sides can see the economics.
Per-second usage model
The pricing model moved toward smaller billing units so renters are not pushed into artificial hourly blocks.
Attestation and isolation
The marketplace direction expanded around host verification, single-tenant execution, encryption, and cleanup between workloads.
Verified production signals
Customer proof, inventory, and compliance claims should connect to approved sources before production use.
The team
The founding team
Small team, focused on making GPU access more transparent and provider participation easier to trust.
Ali
Co-founder
Leads product direction and the two-sided marketplace model: renter access on one side, provider participation on the other.
Focuses on marketplace clarity, renter/provider flows, pricing language, and making the product feel trustworthy before it feels loud.
Product and marketplace
ali@kracht.aiAustin
Co-founder
Focuses on scheduling, isolation, and the platform mechanics that make shared GPU supply usable for real workloads.
Focuses on allocation, host verification, isolation mechanics, and the control-plane pieces that make shared capacity usable.
Systems and infrastructure
austin@kracht.aiTwo sides, one marketplace
Spin up the GPUs you need - or earn from the ones you already own
Rent on-demand compute by the second, or list idle hardware and let it pay for itself. Same marketplace, both directions.
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