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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GPUBank serves as a cloud-based platform where developers, machine-learning experts, and research groups can rent GPU resources to enhance their AI and GPU-intensive workloads. Users can easily navigate the web console to select either NVIDIA or AMD GPU instances, pick a deployment location, and initiate pre-configured setups for a variety of purposes, including model training, inference, fine-tuning, image generation, and framework development. The platform offers a range of templates, such as PyTorch, vLLM, ComfyUI, and Ollama, catering to diverse project needs. Additionally, GPUBank provides an API, a command-line interface, a Python SDK, and a Terraform provider to facilitate easy provisioning and management of usage. Pricing for GPU compute is calculated per second and encompasses the costs for the chosen instance's CPU, memory, local NVMe storage, public IPv4, and network traffic as part of the hourly rate; however, persistent disks incur additional charges. Customers have the flexibility to opt for on-demand, interruptible, or reserved capacity across various data center locations, ensuring they can tailor their resources to fit specific project requirements effectively. This versatility makes GPUBank an appealing choice for those looking to optimize their computational needs in a cost-effective manner.

Description

NVIDIA's virtual GPU (vGPU) software delivers high-performance GPU capabilities essential for various tasks, including graphics-intensive virtual workstations and advanced data science applications, allowing IT teams to harness the advantages of virtualization alongside the robust performance provided by NVIDIA GPUs for contemporary workloads. This software is installed on a physical GPU within a cloud or enterprise data center server, effectively creating virtual GPUs that can be distributed across numerous virtual machines, permitting access from any device at any location. The performance achieved is remarkably similar to that of a bare metal setup, ensuring a seamless user experience. Additionally, it utilizes standard data center management tools, facilitating processes like live migration, and enables the provisioning of GPU resources through fractional or multi-GPU virtual machine instances. This flexibility is particularly beneficial for adapting to evolving business needs and supporting remote teams, thus enhancing overall productivity and operational efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

AWS Marketplace No 
Armet AI No 
Azure Marketplace No 
IBM Spectrum LSF Suites No 
IONOS Cloud GPU Servers No 
IREN Cloud No 
Mistral Compute No 
NVIDIA Base Command Manager No 
NVIDIA Magnum IO No 
NVIDIA TensorRT No 
Notenic No 
SF Compute No 
Terraform Yes 

Integrations

AWS Marketplace Yes 
Armet AI Yes 
Azure Marketplace Yes 
IBM Spectrum LSF Suites Yes 
IONOS Cloud GPU Servers Yes 
IREN Cloud Yes 
Mistral Compute Yes 
NVIDIA Base Command Manager Yes 
NVIDIA Magnum IO Yes 
NVIDIA TensorRT Yes 
Notenic Yes 
SF Compute Yes 
Terraform No 

Pricing Details

$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 Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

GPU Compute

Founded

2026

Country

Estonia

Website

gpubank.io

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/virtual-solutions/

Product Features

Product Features

Server Virtualization

Audit Management No 
Health Monitoring No 
Live Machine Migration No 
Multi-OS Virtual Machines No 
Patching / Backup No 
Performance Log No 
Performance Optimization No 
Rapid Provisioning No 
Security Management No 
Type 1 / Type 2 Hypervisor No 

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