Hourly GPU servers for training and inference
Virtual machines powered by NVIDIA L4, L40S and H100 accelerators. CUDA, cuDNN and drivers come pre-installed; power it off when you are done and billing stops.
On quoteA quote for your needs
The exact price is set by your needs and scale. Get a quote or schedule a meeting with your account manager.
From model training to inference, your GPU workflow is ready
Start in minutes with images that already have CUDA, cuDNN and the NVIDIA drivers installed.
The GPU is not split or shared; the VRAM and cores are fully allocated to you.
On multi-GPU nodes the accelerators talk over NVLink at high bandwidth.
Put the training dataset on the local NVMe disk so disk I/O does not limit your training speed.
The NVIDIA Container Toolkit is ready; run your own image or a ready-made Jupyter environment.
Write checkpoints and model weights directly to S3-compatible object storage.
Frequently asked questions about GPU Server
We offer the NVIDIA L4, L40S and H100 accelerators. Multi-GPU (e.g. 4× H100) configurations are provided on request with a quote.
Yes. Our ready-made images ship with the current NVIDIA driver, CUDA and cuDNN; you can also open PyTorch and TensorFlow environments in one click.
No. The GPU you reserve is single-tenant; the VRAM and cores are not shared with another customer and you experience no noisy-neighbor effects.
Stopping (powering off) the server does not stop billing; the GPU and disk resources stay reserved and billed until you delete it. When training ends, move your checkpoint to object storage and delete the server — that stops the GPU charge entirely.
Yes. We offer configurations with multiple H100s in a single node connected over NVLink; these multi-GPU options are provided on request with a quote.
For continuously running workloads we offer reserved GPUs with a monthly or yearly commitment; this provides a significant discount over the hourly price. For short jobs the hourly model is ideal.
Datasets and model weights are kept on the local NVMe disk or in S3-compatible object storage, on the infrastructure we operate in Tier III+ data centers, in Turkey.