GPU capacity + AI engineering
GPUs that work on day one, set up by an engineer.
We find H100, H200 and B200 capacity that's actually available, test every machine, deploy your model, and stay on call. One quote, one invoice, one engineer.
Founder-led from IndiaCovers US nights and EU and Gulf working hoursEvery machine tested before handover
The problem
Renting GPUs is easy. Getting them to work is not.
Sold out when you need it.
On-demand H100s and H200s are often unavailable, and big providers want 6–12 month contracts. We find 8–64 GPU blocks for 2–12 weeks.
Machines that fail mid-run.
Marketplace hosts drop offline and lose work. We test every node before handover and monitor it while you run.
Nobody to call.
Ticket queues don't fix a stuck training run at 2 a.m. You get an engineer who answers.
How it works
From request to running model in days, not weeks.
Tell us your workload.
Model, size, GPU count, how long, and when. Takes two minutes.
Get two options within 24 hours.
A flexible monthly option and a committed option, each naming the data center and country.
We set up and test.
Health checks, GPU-to-GPU speed tests and a real run of your model. You get the test report.
We run it with you.
Monitoring, tuning and support across US, European and Asian hours.
Packages
Pick what you need.
Production model serving in 10 days
Your open or fine-tuned model served with vLLM or SGLang on GPUs sized for it, with autoscaling, monitoring and cost tuning.
$3,000 setup, then $1,500/month to run it + GPU cost
Live in 10 days or your setup fee back.
Fine-tuning sprint
Data preparation, fine-tuning (LoRA or full), evaluation and deployment of one model.
Fixed price per sprint, quoted within 24 hours + GPU cost
GPU capacity finder
8 to 64 GPUs for 2 to 12 weeks. H100, H200, B200 or RTX PRO 6000. Quoted within 24 hours, tested before handover.
H100 from $3.29 per GPU-hour
Free GPU cost audit
A 30-minute review of what you run and what you pay, with a written estimate of what you could save. Useful if your cloud credits are about to run out.
Free
Back-office GPU team for agencies
You build AI for your clients. We supply and run the GPUs under your name, so you can sell infrastructure without hiring for it.
Margin share. Let's talk.
Prices
Indicative prices
| GPU | Memory | From (per GPU-hour) |
|---|---|---|
| NVIDIA H100 SXM | 80 GB | $3.29 |
| NVIDIA H200 | 141 GB | $4.29 |
| NVIDIA B200 | 180 GB | $6.29 |
| NVIDIA RTX PRO 6000 | 96 GB | $1.99 |
| B300, A100, L40S, AMD MI300X | - | On request |
Prices in US dollars, excluding taxes, as of October 2026. Committed terms cost less. Multi-node InfiniBand clusters are quoted separately. Every quote names the data center and country.
Where it runs
Where your GPUs run
Your workloads run in professionally operated data centers run by established GPU cloud providers in the US, Europe and India. We don't resell spare hobbyist machines. Every quote tells you the provider's region, the country, and whether the GPUs are on bare metal or virtual machines. If your data must stay in the EU, the US or India, tell us and we'll quote only there.
Already have an account with a GPU cloud? We can set up and run everything on your own account instead.
Testing
We test before we hand over.
- GPU health test (NVIDIA DCGM diagnostics)
- GPU-to-GPU and node-to-node bandwidth (NCCL tests)
- A real run of your model, with tokens per second recorded
- A one-page test report, shared with you
- Monitoring with alerts from day one
The engineer
The engineer is the point.
Setup
- Model serving with vLLM or SGLang
- Fine-tuning pipelines (LoRA, full fine-tunes)
- Autoscaling and load balancing
- Storage and data transfer that doesn't surprise you on the bill
Running
- Monitoring and alerting
- Cost and performance tuning every month
- Incident response in your working hours
- Moving workloads when a better price or GPU appears
Who you'll work with
Skygnosis Founder
Founder & Lead Engineer
I've spent four years deploying AI systems into production. I started Skygnosis because teams kept telling me the same thing: getting GPUs is only half the problem; making them work is the other half. When you work with us, you work with me.
Based in Surat, India.
| Your city | Your 9 a.m. is our |
|---|---|
| San Francisco | 9:30 p.m. |
| New York | 6:30 p.m. |
| London | 2:30 p.m. |
| Berlin | 1:30 p.m. |
| Dubai | 10:30 a.m. |
| Singapore | 6:30 a.m. |
India Standard Time. Times update automatically when clocks change.
Security
How we handle access and data
- You keep control of your data. We only access machines with credentials you can revoke at any time.
- We don't copy or keep your models or data after the work ends.
- We verify every customer and screen them against US, UN and EU sanctions lists before provisioning.
- GPUs may not be used for anything illegal, harmful, or against the data center's rules. See our Acceptable Use Policy.
Get a quote
Tell us what you need. You'll have two options within 24 hours.
FAQ
Questions buyers ask
Do you own the GPUs?
No. We work with established GPU clouds and data centers, choose the right capacity for your workload, and set up and run it. Every quote names where it runs.
Can you work on our own cloud account?
Yes. If you already have an account with a GPU cloud, we can set up and run everything there and charge only for the engineering.
What's the minimum?
One GPU for a week for engineering packages. Capacity blocks usually start at 8 GPUs for 2 weeks.
How fast can we start?
Quotes within 24 hours. Single servers are often ready within 1–3 days of payment; larger clusters depend on availability, and we'll tell you the date upfront.
How do we pay?
In US dollars by bank transfer or card. The first month is paid in advance, then monthly in advance.
What happens if a GPU fails?
We monitor every machine, replace or move workloads with the provider, and keep you updated. Your uptime commitment matches the data center's commitment to us, and it's written in your order.
Where can our data be located?
US, EU, UK or India. Tell us your requirement and we'll quote only there.
Is there anything you won't run?
Yes: anything illegal or harmful, and any use that breaks sanctions or export rules. See the Acceptable Use Policy.