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GPU rental for AI developers

Jupyter GPU Cloud is a platform that offers scalable infrastructure built for production, allowing users to rent cloud GPUs for as low as $0.2/hour. With Jupyter for PyTorch, Tensorflow, or any other AI framework, users can easily deploy container-based GPU instances that can spin up in seconds using both public and private repositories. The platform offers secure and community cloud options, in addition to free bandwidth and serverless GPUs. Jupyter GPU Cloud enables users to seamlessly download or upload pod data to any cloud storage, run compute jobs when prices are low, and automate their workflows. Pricing options begin at $0.34/hour for 16 GB RTX A4000 GPUs and go up to $2.09/hour for 80 GB A100 GPUs.

Features:
- Rent cloud GPUs for as low as $0.2/hour
- Deploy container-based GPU instances that can spin up in seconds
- Secure and community cloud options available
- Free bandwidth and serverless GPUs for per-second GPU computing
- Ability to seamlessly download or upload pod data to any cloud storage
- Automated workflows and easy integration with PyTorch, Tensorflow, and other AI frameworks.
AI Cloud GPU Rental Jupyter

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