Almaty
Kazakhstan
- Purpose
- Primary hosting for your production models
- Terms
- Capacity, access and service terms are agreed for your project.
Infrastructure for open models
Capacity for your AI inside Kazakhstan
We select GPUs and hosting for your model and workload. From an employee assistant to your company’s dedicated AI service. One team for deployment, operations and support.
Sized for your task
Kazakhstan
NVIDIA Blackwell
NVIDIA Hopper
NVIDIA Ada Lovelace
Model → workload → configuration
Hosting that fits your company
We agree on the site and recovery setup together while planning your project.
Astana
Kazakhstan
- Purpose
- Recovery and backup planning
- Terms
- Capacity, access and service terms are agreed for your project.
Choose hardware for the work
We start with the model and the result you need. Then we choose a platform and test it on your workload.
For the largest models
For models that need a large memory pool and multiple GPUs working together. We size the configuration for your context and concurrent requests.
For everyday production workloads
Company assistants, document processing and automation. We test the model’s quality and speed on your tasks before deployment.
For compact models
Search, classification, data extraction and streams of short requests. We help you choose enough capacity for the result you need.
What we check before launch
| Parameter | What it means for your company | How we choose |
|---|---|---|
| Model quality | Answers you can use at work | Test on your examples |
| Response time | A useful experience for employees and customers | Measure typical requests |
| Concurrent demand | Enough capacity for your team | Account for users and busy hours |
| Running cost | A clear budget before launch | Calculate for the selected configuration |
Dedicated capacity. Clear terms.
Resources for your project
For a dedicated deployment, we agree on the GPUs and available capacity. Your team gets a defined configuration for its workload.
Access and processing rules
We define who uses the models, what data they receive and how infrastructure access works before launch.
Support on agreed terms
We discuss monitoring, updates and the response to disruptions. Service and recovery terms are included in your proposal.
Find the right capacity for your task
Tell us about your model, users and expected demand. We will prepare a configuration and deployment terms.
Discuss infrastructure