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Jarvis GPU Cloud

Jarvis GPU Cloud screenshot

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About

Jarvis GPU Cloud is a computing platform designed for AI teams, researchers, engineers, and artists. It offers user-friendly interfaces, pre-configured frameworks like PyTorch, ComfyUI, and HF Autotrain, and dedicated support to aid users in achieving their AI goals. The system abstracts complexities associated with GPU usage and focuses on facilitating AI model training and deployment. With a growing community of over 30,000 researchers globally, Jarvislabs makes GPU computing accessible and cost-effective, providing on-demand GPU resources from secure data centers. Users benefit from a flexible pay-as-you-go pricing model, allowing them to only pay for the GPU resources they utilize, alongside multiple options for development environments such as JupyterLab and VS Code.

Platform

Keywords

research affordable pricing easy setup gpu cloud ai computing

Task

Features

• dedicated support

• user-friendly interfaces

• pay-as-you-go pricing

• pre-configured frameworks

• accessible gpu resources

FAQs

What is Jarvislabs?

Jarvislabs is a GPU cloud platform that simplifies AI model training and deployment.

How does the pricing work?

The pricing is flexible, following a pay-as-you-go model, and rates vary based on GPU types.

What kind of GPUs do you offer?

We offer a variety of GPUs including RTX5000, A5000, A6000, RTX6000Ada, and A100.

What frameworks are available?

Available frameworks include PyTorch, ComfyUI, HF Autotrain, among others.

Is there support for users?

Yes, we provide dedicated support to assist users with their projects.

Pricing Plans

Pay as you go

• Flexible pay-as-you-go pricing

• Access to various GPU resources

• Pre-configured development environments

GPU Pricing

• $0.39/hour for RTX5000

• $0.44/hour for A5000

• $0.74/hour for A6000

• $0.99/hour for RTX6000Ada

• $1.29/hour for A100

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