Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Alternatives to Consider

  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,093 Ratings
    Company Website for Google Cloud Platform
  • Compute with Hivenet Reviews & Ratings
    5.0 out of 5 stars 4 Ratings
    Company Website for Compute with Hivenet
  • Google Cloud Run Reviews & Ratings
    4.5 out of 5 stars 352 Ratings
    Company Website for Google Cloud Run
  • Codemagic Reviews & Ratings
    4.7 out of 5 stars 138 Ratings
    Company Website for Codemagic
  • Apify Reviews & Ratings
    4.8 out of 5 stars 1,859 Ratings
    Company Website for Apify
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • Eurekos Reviews & Ratings
    4.8 out of 5 stars 103 Ratings
    Company Website for Eurekos
  • Dragonfly Reviews & Ratings
    4.9 out of 5 stars 16 Ratings
    Company Website for Dragonfly
  • Apryse PDF SDK Reviews & Ratings
    4.2 out of 5 stars 172 Ratings
    Company Website for Apryse PDF SDK
  • DbVisualizer Reviews & Ratings
    4.8 out of 5 stars 593 Ratings
    Company Website for DbVisualizer

What is Velda?

Velda provides a comprehensive development environment that enables developers to run jobs effortlessly in the cloud or cluster, eliminating the need for extra setup. This streamlined access ensures that developers can instantly utilize computational resources, including GPUs, which are crucial for various tasks such as machine learning training, simulations, and batch processing, all while maintaining a user experience similar to local environments and offering extensive customization options. In addition, this solution enhances workflow efficiency, allowing teams to prioritize innovation over the complexities of infrastructure management. By minimizing the hurdles associated with setup and resource allocation, Velda empowers developers to be more productive and creative in their projects.

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

No images available

Media

No images available

Integrations Supported

Amazon EC2
Google Compute Engine
Kubernetes

Integrations Supported

Terraform

API Availability

API Availability

Has API

Pricing Information

Open source available.
Contact for enterprise pricing.
Free Version

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
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Velda

Date Founded

2025

Company Location

United States

Company Website

velda.io

Company Facts

Organization Name

GPU Compute

Date Founded

2026

Company Location

Estonia

Company Website

gpubank.io

Categories and Features

Application Development

Access Controls/Permissions
Deployment Management
Graphical User Interface
Software Development

Categories and Features

Cloud GPU

Not specified

Popular Alternatives

AWS HPC Reviews & Ratings

AWS HPC

Amazon

Popular Alternatives

gpu.nz Reviews & Ratings

gpu.nz

Transtrade
Nextify Reviews & Ratings

Nextify

Nextify Now
Trooper.AI Reviews & Ratings

Trooper.AI

5.0 out of 5 stars