GPU Server Rental in Kazakhstan
Renting a GPU server removes the two problems that come with buying one: a large upfront payment and hardware that sits idle between projects. You take the card for the weeks you actually train or run inference, and release it afterwards. We supply NVIDIA H100, H200, A100 and L40S servers hosted in a Kazakhstan data centre, which matters when your data cannot legally leave the country. Each machine arrives with CUDA, cuDNN and your framework of choice already installed, so your team starts working the same day instead of spending a week on drivers. We size the configuration around the workload — model size, batch, latency target — rather than selling the largest card in stock.
What we deliver
Cards matched to the workload
Training a 70B model, serving inference at scale and rendering 3D scenes need different hardware. H100 and H200 for large-model training with NVLink between cards, A100 where budget matters more than deadline, L40S for inference and rendering with hardware ray tracing. We decide after looking at your model, not before.
Data stays in Kazakhstan
Servers sit in a Tier III data centre inside the country. For banks, healthcare and public-sector projects this is usually a hard requirement rather than a preference, and it also keeps latency low for users in Central Asia.
Hourly or monthly billing
Short experiments are billed by the hour; long training runs and production inference move to a monthly rate. You are not locked into a year-long contract for a two-week experiment, and you are not paying hourly rates for a workload that runs continuously.
Ready environment on delivery
CUDA, cuDNN, PyTorch or TensorFlow, Docker and Jupyter are installed and tested before handover. Optional extras — vLLM for serving, RAPIDS for data science, DeepStream for video pipelines — are set up on request.
Support that understands GPUs
Round-the-clock monitoring of temperature, memory and utilisation. If a card throttles or a job stalls, we see it and tell you, rather than waiting for you to notice that a week of training produced nothing.
How much does gpu server rental cost
Indicative prices. We send a precise quote within 24 hours of your brief.
Why Applications.kz
19 years, 300+ projects
We started in 2007 and have shipped over 300 products since — from MVPs to banking-grade platforms. The edge cases your project will hit, we have already solved.
Fixed price, fixed scope
A clear scope and a firm budget before we write a line of code. No hourly drift, no surprise change orders, no padded estimates.
Up to 10-year warranty
We back our code with a warranty of up to 10 years and full source-code handover. No lock-in, no abandonment after launch.
Technologies
Frequently asked questions
How quickly can we start?
Standard configurations are handed over within one to three business days. If the exact card you need is already reserved, we say so straight away and offer the nearest alternative with the performance difference spelled out.
Can we scale from one card to a cluster?
Yes. Most teams begin with a single GPU for prototyping and move to a multi-card node with NVLink once the model outgrows one card. We plan the path in advance so the migration does not mean rebuilding your pipeline from scratch.
What happens to our data when we stop renting?
Storage is wiped on release, and we confirm it in writing. If you need the data returned first, we agree the transfer window before shutdown.
Is renting cheaper than buying?
It depends on utilisation. Below roughly half-time use, renting almost always wins, because idle hardware still depreciates. For a card that runs continuously for years, buying can be cheaper — we will tell you which case you are in rather than pushing the rental by default.
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Start your gpu server rental
Free consultation and a fixed quote within 24 hours. +7 (707) 928-13-15