GPUBank

GPUBank

GPU Compute
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About

GPU.ai is a cloud platform specialized in GPU infrastructure tailored to AI workloads. It offers two main products: GPU Instance, letting users launch compute instances with recent NVIDIA GPUs (for tasks like training, fine-tuning, and inference), and model inference, where you upload your pre-built models and GPU.ai handles deployment. The hardware options include H200s and A100s. It also supports custom requests via sales, with fast responses (within ~15 minutes) for more specialized GPU or workflow needs.

About

GPUBank is a cloud GPU rental platform for developers, machine-learning practitioners, and research teams that need accelerated compute for AI and other GPU workloads. Through its web console, customers can select NVIDIA or AMD GPU instances, choose a deployment region, and start preconfigured environments for tasks such as model training, inference, fine-tuning, image generation, and framework development. Available templates include PyTorch, vLLM, ComfyUI, and Ollama. The service provides an API, command-line interface, Python SDK, and Terraform provider for provisioning and usage management. GPU compute is priced by the second, with the selected instance's CPU, memory, local NVMe storage, public IPv4, and network traffic included in the hourly rate; persistent disks are billed separately. Customers can use on-demand, interruptible, or reserved capacity across listed data-center regions.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Developers, AI engineers, and companies requiring a tool for training, deploying, or serving AI models without owning the physical hardware

Audience

GPUBank is a cloud GPU rental platform offering affordable, on-demand NVIDIA and AMD GPUs for AI training, machine learning, LLM inference, and generative AI workloads with flexible pay-per-second billing.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

$2.29 per hour
Free Version Not Supported
Free Trial Not Supported

Pricing

$0.23/GPU/hour
On-demand RTX 4090 compute starts at $0.23 per GPU-hour, billed by the second with no minimum compute duration. Prices are in USD and exclude VAT. Customers add funds to a prepaid balance using cryptocurrency, with a $25 minimum top-up. Compute price includes vCPU, RAM, local NVMe, one public IPv4 address, and traffic. Persistent disk is $0.03 per GB-month. Interruptible and reserved rates are available at discounts from on-demand pricing.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

GPU.ai
United States
gpu.ai/

Company Information

GPU Compute
Founded: 2026
Estonia
gpubank.io

Alternatives

Alternatives

gpu.nz

gpu.nz

Transtrade
Nextify

Nextify

Nextify Now

Categories

Cloud GPU Supported

Categories

Cloud GPU Supported

Integrations

DEEPMOTION Supported
Supermicro MicroCloud Supported
Terraform Not Supported

Integrations

DEEPMOTION Not Supported
Supermicro MicroCloud Not Supported
Terraform Supported
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