About | GPU.ai

the problem

GPU clouds are fragmented, expensive, and slow●

Every provider has its own APIs, its own pricing, its own availability windows. Teams burn days comparing options, wiring up networking, and overpaying, because no one can see the whole market at once.

GPU.ai is a single control plane over all of it. We poll live inventory across providers, normalize pricing to per-GPU-hour, and let you deploy with one command. Per-second billing, no minimums, no lock-in.

the market today●capacity exists, spread across providers, regions, and hardware generations, none of which can see each other

12+: clouds on one surface
30s: availability refresh
per-second: billing, no minimums
<60s: to a running GPU

what it costs you

The same GPU, priced a dozen different ways●

Fragmentation shows up on two lines of your budget. You overpay for the hour, and you pay again in the weeks it takes to reach the hardware at all.

One GPU, one hour, every supplier

Illustrative. The spread between the dearest and cheapest node for identical hardware is routinely the largest line item nobody is looking at. We surface all of it, and route to the bottom of the stack. See the live index →

Time to a running GPU

Procurement calls, minimum commitments, and quota tickets are infrastructure work disguised as paperwork. One command replaces the whole sequence.

what we built

One surface over the whole market●

Not a reseller and not another cloud. An aggregation layer that reads the entire market continuously, then hands you the one node that is cheapest, closest, and actually available right now.

Poll
Live inventory and pricing from every cloud we hold, refreshed continuously.
Normalize
One price per GPU-hour, one spec sheet, one API, one bill.
Launch
The cheapest node with real stock, running in seconds.

GPU compute for everyone●

GPU clouds are fragmented, expensive, and slow●

The same GPU, priced a dozen different ways●

One surface over the whole market●

Start deploying GPUs
in under 60 seconds●

GPU clouds are fragmented, expensive, and slow●

The same GPU, priced a dozen different ways●

One surface over the whole market●

Start deploying GPUsin under 60 seconds●

Start deploying GPUs
in under 60 seconds●