Train and serve AI models next to your data
Rent dedicated GPU servers on Gewape Cloud and keep your training data and models in the region you choose.
What you get
- Dedicated GPUs, never shared
- Data and models in the region you choose
- Published GPU rates
Context
The challenge
AI work needs GPUs and a lot of data close to them. Shipping sensitive datasets abroad to rent GPUs creates cost, delay and compliance risk.
Our approach
How Gewape Cloud Infrastructure addresses it
Gewape Cloud GPU servers are dedicated, never shared, and sit in the same platform as your storage, so training data and models stay in the region you choose.
How it works
Step by step
- 1
Talk to us about your workload
GPU servers are a 12-month commitment; we size them with you.
- 2
Bring your data
Load datasets into object storage in the same region.
- 3
Train and serve
Run training and inference on your dedicated GPUs.
Why Gewape Cloud Infrastructure
Accountable in every market we serve
We operate it ourselves
The platform is run and supported by our own team, not resold from another provider.
Your region, by your choice
Run in the live region you choose, or in a private cloud we deliver in your country. Your data stays where you put it.
A local company to contract with
You contract with a Gewape Cloud company in your own country where we have one: Rwanda, Kenya, South Africa, Singapore or the United States. Registered as a data controller and data processor with the data protection authorities in Kenya and Rwanda.
FAQs
Frequently asked questions
Are the GPUs shared?
No. Each GPU server is dedicated to you.
How long is the commitment?
GPU servers are ordered on a 12-month commitment. See the GPU Cloud page for published rates.
Dedicated GPUs, sold like servers, next to your data.
Start on the Gewape Cloud Platform today, or speak with our team about your requirements.