Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Compute with Hivenet Reviews & Ratings
    4 Ratings
    Company Website
  • IONOS Cloud GPU Servers Reviews & Ratings
    45,340 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • Google Compute Engine Reviews & Ratings
    1,169 Ratings
    Company Website
  • Servers.com by Nexcess Reviews & Ratings
    15 Ratings
    Company Website
  • Nexcess Digital Cloud Reviews & Ratings
    205 Ratings
    Company Website
  • Gr4vy Reviews & Ratings
    5 Ratings
    Company Website
  • Airalo Reviews & Ratings
    79,541 Ratings
    Company Website
  • RouteGenie Reviews & Ratings
    49 Ratings
    Company Website
  • KrakenD Reviews & Ratings
    76 Ratings
    Company Website

What is GPUBank?

GPUBank operates as a cloud-based service that allows developers, machine-learning professionals, and research teams to lease GPU resources, thereby improving their AI and GPU-heavy tasks. The user-friendly web console enables users to choose between NVIDIA or AMD GPU instances, select a preferred deployment region, and launch pre-set configurations for diverse applications such as model training, inference, fine-tuning, image generation, and framework development. With an array of templates like PyTorch, vLLM, ComfyUI, and Ollama, GPUBank caters to varying project requirements effectively. Furthermore, the platform enhances usability by offering an API, a command-line interface, a Python SDK, and a Terraform provider to streamline resource management and provisioning. GPU compute pricing is billed by the second and includes charges for the CPU, memory, local NVMe storage, public IPv4, and network traffic associated with the selected instance's hourly rate, while additional fees apply for persistent disks. Users can choose from on-demand, interruptible, or reserved capacities across multiple data center locations, allowing them to customize their resource allocation based on specific project needs. This flexibility not only ensures efficiency but also positions GPUBank as an attractive solution for those aiming to manage their computational expenses strategically. As a result, it significantly enhances the overall productivity and effectiveness of various computational projects.

What is Amazon EC2 G4 Instances?

Amazon EC2 G4 instances are meticulously engineered to boost the efficiency of machine learning inference and applications that demand superior graphics performance. Users have the option to choose between NVIDIA T4 GPUs (G4dn) and AMD Radeon Pro V520 GPUs (G4ad) based on their specific needs. The G4dn instances merge NVIDIA T4 GPUs with custom Intel Cascade Lake CPUs, providing an ideal combination of processing power, memory, and networking capacity. These instances excel in various applications, including the deployment of machine learning models, video transcoding, game streaming, and graphic rendering. Conversely, the G4ad instances, which feature AMD Radeon Pro V520 GPUs and 2nd-generation AMD EPYC processors, present a cost-effective solution for managing graphics-heavy tasks. Both types of instances take advantage of Amazon Elastic Inference, enabling users to incorporate affordable GPU-enhanced inference acceleration to Amazon EC2, which helps reduce expenses tied to deep learning inference. Available in multiple sizes, these instances are tailored to accommodate varying performance needs and they integrate smoothly with a multitude of AWS services, such as Amazon SageMaker, Amazon ECS, and Amazon EKS. Furthermore, this adaptability positions G4 instances as a highly appealing option for businesses aiming to harness the power of cloud-based machine learning and graphics processing workflows, thereby facilitating innovation and efficiency.

Media

No images available

Media

Integrations Supported

Terraform

Integrations Supported

AMD Radeon ProRender
Amazon EC2
Amazon EKS
Amazon Elastic Inference
Amazon SageMaker
Amazon Web Services (AWS)
CUDA
OpenGL

API Availability

Has API

API Availability

Has API

Pricing Information

$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.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GPU Compute

Date Founded

2026

Company Location

Estonia

Company Website

gpubank.io

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/ec2/instance-types/g4/

Categories and Features

Cloud GPU

Not specified

Categories and Features

Cloud GPU

Not specified

Deep Learning

Not specified

HPC

Not specified

Popular Alternatives

gpu.nz Reviews & Ratings

gpu.nz

Transtrade

Popular Alternatives

Nextify Reviews & Ratings

Nextify

Nextify Now