GPU server rental in Kazakhstan
A GPU server is a virtual machine with a graphics card that belongs entirely to you. It's built for training and fine-tuning neural networks, serving language models, image and video processing, scientific computing and rendering.
A whole GPU for training and running models.
price on request
VAT not applicable
We're preparing GPU servers in a data center in Astana. That matters for companies working with personal or commercial data: training datasets and results don't leave Kazakhstan, and latency for users in the country is minimal.
The service is launching soon. We'll tailor the configuration to your workload: GPU model, video memory, CPU cores, RAM and storage. Send a request describing your task and we'll let you know about the launch, timing and pricing.
GPU workloads
Model training
Fine-tune LLMs and computer vision models on your own data.
Inference
Serve language models and recognition APIs inside Kazakhstan.
Media
Video transcoding, image processing and rendering.
Science and computing
CUDA workloads, simulations and big data analysis.
What you get
A whole GPU
The GPU isn't shared with other customers.
Drivers ready
Ubuntu with NVIDIA drivers and CUDA on request.
Data in Kazakhstan
Training data stays in the country.
Storage for datasets
SSDs to feed data into training.
Flexible terms
Rent for a month or for the long term.
Launch help
We'll help with your environment, Docker and frameworks.
GPU servers
Frequently asked questions
How much does a GPU server cost?
The price depends on the GPU model and rental term. Send a request and we'll send you a quote.
Which GPUs are available?
We don't have GPUs in our fleet yet: we'll match a model to your video memory needs and budget and let you know the timing.
Can I rent for a short period?
The minimum term is one month. Long-term rentals get discounts.
Do PyTorch and CUDA work out of the box?
We install NVIDIA drivers and CUDA. Frameworks are easiest to run in Docker with GPU support.
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