PartnerGPU hours on demand. Data centers built for AI.
Pruna Trading operates purpose-built AI data centers and sells NVIDIA GPU compute by the hour — from a single node for an experiment to reserved clusters for production training.
On-demand GPU hours
Reserved GPU capacity
Dedicated clusters
NVIDIA accelerated computing
Liquid-cooled racks
High-bandwidth networking
Hourly billing
24/7 operations
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Compute is the bottleneck. We sell it by the hour.
Building AI shouldn't mean waiting months for hardware or financing a data center. We run the facilities, the power, the cooling and the NVIDIA GPUs — you rent exactly the compute you need, for as long as you need it.
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Three ways to buy GPU hours
Start small, commit when you're ready, or take a whole cluster.
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Our own data centers
Every GPU hour we sell runs in facilities we design and operate — built from the ground up for high-density AI compute.
- High-density power delivery for GPU racks
- Liquid cooling for sustained performance
- Physical security and controlled access
- Round-the-clock monitoring and operations
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Why teams run on Pruna Trading
NVIDIA partner
Latest-generation NVIDIA data center GPUs, deployed and operated to NVIDIA guidance.
Power for dense compute
Facilities engineered for the power draw of modern GPU racks, not retrofitted office space.
Liquid cooling
Cooling that keeps GPUs at full clock speed through long training runs.
High-speed fabric
Low-latency, high-bandwidth networking so multi-node jobs scale cleanly.
Simple hourly billing
Clear per-GPU-hour pricing and usage reporting. No surprises on your invoice.
Engineers on call
Infrastructure specialists who help you size, launch and tune your workloads.
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Powered by NVIDIA
As an NVIDIA partner, we build our GPU infrastructure on NVIDIA accelerated computing — so the hours you buy run on the platform the AI ecosystem is built around.
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From request to running in four steps
- 1
Tell us your workload
Model size, GPU count, duration and timeline.
- 2
We match capacity
On-demand, reserved or a dedicated cluster — whichever fits.
- 3
Get access
Your GPUs are provisioned in our data centers and handed over ready to run.
- 4
Scale as you go
Add hours, extend reservations or grow the cluster when you need to.
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Questions, answered
One GPU running for one hour. An eight-GPU node used for ten hours is eighty GPU hours. You are billed for the GPU hours your workloads consume.
Ready for your next GPU hour?
Tell us what you're building and we'll size the right capacity.