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Console

GPU CLOUD / GHOSTVPS

GPU Cloud. Ideas in motion.

Train models, create with AI and run GPU workloads. Explore single and multi-GPU configurations, ready-made templates and usage-based billing.

Explore configurationsExplore the workspace
PyTorchCUDAComfyUIJupyter
Explore your GPU setup
1× GPU2× GPU4× GPU8× GPU
18GPU models
48configurations
1–8GPUs per instance
PyTorch × CUDA × ComfyUI
1plansConfigure in Console

GPU / PAY AS YOU GO

Compare GPU configurations

Explore the published configurations and USD hourly rates. Choose a family or search the specifications to narrow your options.

48 matching configurations

Compare GPU configurations
GPU modelGPU countTotal VRAMGPU compute USD / hourConfigure in Console
RTX A45001× GPU20 GB$0.3250Configure in Console
RTX 4000 Ada1× GPU20 GB$0.3640Configure in Console
A401× GPU48 GB$0.7670Configure in Console
L41× GPU24 GB$0.7670Configure in Console
PRO 6000 MIG 24GB1× GPU24 GB$0.8970Configure in Console
RTX PRO 45001× GPU32 GB$0.9360Configure in Console
RTX PRO 4500 SE1× GPU32 GB$0.9360Configure in Console
RTX 40901× GPU24 GB$1.1570Configure in Console
RTX 6000 Ada1× GPU48 GB$1.2870Configure in Console
L40S1× GPU48 GB$1.4170Configure in Console
A402× GPU96 GB$1.5340Configure in Console
L42× GPU48 GB$1.5340Configure in Console
RTX 50901× GPU32 GB$1.5470Configure in Console
PRO 6000 MIG 48GB1× GPU48 GB$1.6770Configure in Console
PRO 6000 MIG 24GB2× GPU48 GB$1.7940Configure in Console
RTX PRO 45002× GPU64 GB$1.8720Configure in Console
RTX PRO 4500 SE2× GPU64 GB$1.8720Configure in Console
RTX 40902× GPU48 GB$2.3140Configure in Console
A100 PCIe1× GPU80 GB$2.3270Configure in Console
A100 SXM1× GPU80 GB$2.3270Configure in Console
RTX 6000 Ada2× GPU96 GB$2.5740Configure in Console
L40S2× GPU96 GB$2.8340Configure in Console
A404× GPU192 GB$3.0680Configure in Console
RTX 50902× GPU64 GB$3.0940Configure in Console
RTX PRO 60001× GPU96 GB$3.2370Configure in Console
PRO 6000 MIG 48GB2× GPU96 GB$3.3540Configure in Console
RTX PRO 6000 WK1× GPU96 GB$3.3670Configure in Console
PRO 6000 MIG 24GB4× GPU96 GB$3.5880Configure in Console
RTX PRO 45004× GPU128 GB$3.7440Configure in Console
RTX PRO 4500 SE4× GPU128 GB$3.7440Configure in Console
A100 PCIe2× GPU160 GB$4.6540Configure in Console
A100 SXM2× GPU160 GB$4.6540Configure in Console
RTX 6000 Ada4× GPU192 GB$5.1480Configure in Console
H100 SXM1× GPU80 GB$5.1870Configure in Console
L40S4× GPU192 GB$5.6680Configure in Console
A408× GPU384 GB$6.1360Configure in Console
RTX 50904× GPU128 GB$6.1880Configure in Console
RTX PRO 60002× GPU192 GB$6.4740Configure in Console
PRO 6000 MIG 48GB4× GPU192 GB$6.7080Configure in Console
PRO 6000 MIG 24GB8× GPU192 GB$7.1760Configure in Console
A100 PCIe4× GPU320 GB$9.3080Configure in Console
A100 SXM4× GPU320 GB$9.3080Configure in Console
H100 SXM2× GPU160 GB$10.3740Configure in Console
B2001× GPU180 GB$10.3870Configure in Console
RTX PRO 60004× GPU384 GB$12.9480Configure in Console
H100 SXM4× GPU320 GB$20.7480Configure in Console
B2002× GPU360 GB$20.7740Configure in Console
H100 SXM8× GPU640 GB$41.4960Configure in Console

Rates checked in Console: 2026-10-29 13:01 UTC+03:00. This is a configuration snapshot; confirm the selected region, storage and final quote in Console.

Container disk: 30–200 GB. Persistent volume: 0 GB or 10–1,000 GB. Retained storage can continue billing while stopped.

Container disk is temporary and its files are lost on restart. The persistent volume at /workspace is retained across restarts.

Persistent volume: running 0.000232, stopped 0.000427 USD/GB/hour.

Service-level conditions

These conditions describe the Console service entry, not every hourly hardware configuration. Verify the selected instance in Console.

Published plan conditions — GPU VPS
CPU allocationListed; review details
View published evidence
  • Live Usage Monitoring (GPU, VRAM, CPU, RAM and disk stats)
Traffic allowanceCheck in Console
Network portCheck in Console
SMTP port 25Check in Console
PTR / reverse DNSCheck in Console
BackupCheck in Console
System optionsCheck in Console
Software / Windows licence costCheck in Console
Configuration choicesCheck in ConsoleListed configuration choices do not establish an upgrade path after purchase.
Upgrades after purchaseCheck in Console
Service managementCheck in ConsoleA control panel does not by itself mean a managed service.

GHOSTVPS / GPU COMPUTE

Start with your workload. Choose your GPU.

For model training, inference, image generation and GPU processing, compare memory, GPU count and storage before deploying.

RTX A4500RTX 4000 AdaA40L4PRO 6000 MIG 24GBRTX PRO 4500RTX PRO 4500 SERTX 4090

These models are advertised in Console; availability, memory variants and configurations depend on current capacity.

VRAM for your model

Match GPU memory to your model, precision, batch size and working data. Check the memory of the exact GPU variant, not only its model name.

GPU count and software support

Choose a single or multi-GPU configuration offered in Console. Your software must support the selected GPU setup; more GPUs do not automatically improve every workload.

Space for models and results

Allow storage for model weights, datasets, templates and output. Review storage type, persistence and cost before deployment.

AI / DEVELOPMENT

Your tools, ready for the next experiment.

Choose an available AI template for your workflow. Framework and CUDA compatibility depend on the selected image and GPU.

PyTorchTensorFlowCUDAComfyUI
Configure in Console

Jupyter Notebook

Use the password-protected web notebook environment offered by the service to develop and run experiments.

SSH and network access

The service lists root SSH access and a dedicated public IPv4 for direct TCP access. Use the connection details and exposed ports shown in Console.

Monitoring and management

Review GPU, VRAM, CPU, RAM and disk usage, logs and cost reports. Template reinstallation is available; back up required data before reinstalling.

UNDERSTAND THE BILLING

Understand running and stopped costs.

The order amount is initial cloud credit, not the price of a GPU per hour. Review the selected GPU rate and billing interval in Console.

While running

Compute usage is charged from your cloud balance according to the selected configuration. Include storage and applicable additional resources when reviewing the total.

While stopped

The displayed stopped quote releases GPU compute and charges only the selected persistent volume. Its stopped rate differs from its running rate.

Review storage retention before stopping, reinstalling or deleting. Keep an independent copy of important models and results; do not assume every operation preserves data.

GPU / CONSOLE

From an idea to a GPU workspace.

Add cloud credit, choose an available GPU and template, review the running and stopped rates, then create and manage the service in Console.

Configure in Console

Before you order

Know what fits before you choose.

Choose GPU memory and compute resources for your model. A stopped server can still incur storage or other charges; check the selected service’s running and stopped rates.

Need help choosing?
Is the initial cloud credit a GPU hourly price?

No. It is initial cloud credit. The GPU model, count, storage and billing interval determine the actual charge shown in Console.

What is charged when I stop the server?

The service offers a lower stopped cost: GPU compute charges are reduced, while retained storage continues to be billed. Check the selected configuration’s rates before stopping.

Are all listed GPUs always available?

No. GPU model, quantity, memory variant and location depend on available capacity. Confirm the exact configuration in Console before deployment.

Will my files survive a reinstall or deletion?

Do not assume so. Persistence depends on the selected storage and operation. Back up required files before reinstalling or deleting the service.

Explore more infrastructure

Support
Hourly & GPU

Hourly Cloud

Hourly cloud servers with flexible resources. Choose an instance and location, then manage usage in Console.

Explore service
GPU Infrastructure