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

  • IONOS Cloud GPU Servers Reviews & Ratings
    45,340 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website
  • Servers.com by Nexcess Reviews & Ratings
    15 Ratings
    Company Website
  • Compute with Hivenet Reviews & Ratings
    4 Ratings
    Company Website
  • Google Compute Engine Reviews & Ratings
    1,169 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Nexcess Managed Cloud Reviews & Ratings
    210 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    61,066 Ratings
    Company Website
  • HostZealot Reviews & Ratings
    309 Ratings
    Company Website
  • Nexcess Digital Cloud Reviews & Ratings
    205 Ratings
    Company Website

What is IREN Cloud?

IREN's AI Cloud represents an advanced GPU cloud infrastructure that leverages NVIDIA's reference architecture, paired with a high-speed InfiniBand network boasting a capacity of 3.2 TB/s, specifically designed for intensive AI training and inference workloads via its bare-metal GPU clusters. This innovative platform supports a wide range of NVIDIA GPU models and is equipped with substantial RAM, virtual CPUs, and NVMe storage to cater to various computational demands. Under IREN's complete management and vertical integration, the service guarantees clients operational flexibility, strong reliability, and all-encompassing 24/7 in-house support. Users benefit from performance metrics monitoring, allowing them to fine-tune their GPU usage while ensuring secure, isolated environments through private networking and tenant separation. The platform empowers clients to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, while also supporting container technologies like Docker and Apptainer, all while providing unrestricted root access. Furthermore, it is expertly optimized to handle the scaling needs of intricate applications, including the fine-tuning of large language models, thereby ensuring efficient resource allocation and outstanding performance for advanced AI initiatives. Overall, this comprehensive solution is ideal for organizations aiming to maximize their AI capabilities while minimizing operational hurdles.

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.

Media

Media

No images available

Integrations Supported

DeepSeek
Dell Technologies Cloud
Docker
Falcon AI
JAX
Llama
Mistral AI
NVIDIA DRIVE
NVIDIA virtual GPU
PyTorch
Stability AI
Supermicro CloudDC
TensorFlow
WEKA

Integrations Supported

Terraform

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

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.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

IREN

Company Location

Australia

Company Website

www.iren.com/solutions/gpu-cloud/ai-cloud

Company Facts

Organization Name

GPU Compute

Date Founded

2026

Company Location

Estonia

Company Website

gpubank.io

Categories and Features

AI Cloud Providers

Not specified

AI Infrastructure

Not specified

Cloud GPU

Not specified

Colocation

Not specified

Categories and Features

Cloud GPU

Not specified

Popular Alternatives

Popular Alternatives

gpu.nz Reviews & Ratings

gpu.nz

Transtrade
Nextify Reviews & Ratings

Nextify

Nextify Now