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Frictionless IPU cloud on-demand

Build and deploy your AI applications on IPUs in the cloud with a zero set-up, pre-configured Jupyter development environment on Paperspace

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Designed for ML engineers. Explore IPU-ready models at ease with Gradient Notebooks.

Gradient is an end-to-end MLOps platform providing AI practitioners and researchers with an intuitive no-fuss environment, paired with powerful native IPU support.

Built to meet the demands of ML workloads, Graphcore and Paperspace are working together to make IPUs more accessible than ever before through Gradient's simple cloud workspace - an alternative to Google Colab.

Discover a range of IPU-optimized ML models in popular domains like NLP and CV, plus new emerging areas like Graph Neural Networks, all pre-configured on IPU runtimes with self-guided tutorials, to get you running models in no time.

Developer Quickstart

IPU-POD4 Classic

For developers to try IPUs in the cloud for free

  • Six hour free sessions
  • Mid-range instances
  • Public projects
  • 5GB notebook memory

Price per hour

$0

Get started

IPU-POD4 Classic

For developers to explore IPUs in the cloud with unlimited access

  • Unlimited hours
  • Mid-range instances
  • Private projects
  • More storage options i

    Free subscription: Up to 5GB storage available

    Pro subscription: Up to 15GB storage available

    Growth subscription: Up to 50GB storage available

    + Pay-as-you-go storage available on an hourly basis

Price per hour

$2.70

Get started

IPU-POD16 Classic

For developers and teams to build and run faster ML applications

  • Unlimited hours
  • Larger IPU instances
  • Private projects
  • More storage options i

    Free subscription: Up to 5GB storage available

    Pro subscription: Up to 15GB storage available

    Growth subscription: Up to 50GB storage available

    + Pay-as-you-go storage available on an hourly basis

Price per hour

$19.08

Get started

BOW POD16

For developers and teams to unlock premium performance

  • Unlimited hours
  • Faster premium IPUs
  • Private projects
  • More storage options i

    Free subscription: Up to 5GB storage available

    Pro subscription: Up to 15GB storage available

    Growth subscription: Up to 50GB storage available

    + Pay-as-you-go storage available on an hourly basis

Price per hour

$26.71

Get started
cloud

Available globally with six hour free sessions allowing developers to try IPUs in the cloud without friction, commitment, or any upfront costs.

Command Line

Select an IPU runtime with pre-configured notebooks and launch instantly from your browser with Gradient's simple web-based Jupyter IDE.

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Access IPU-POD4 Classic machines delivering 1 petaFLOP of AI compute, designed for flexible machine learning exploration.

Models

Effortlessly run state-of-the-art ML models optimised for the IPU covering NLP, Computer Vision, and Graph Neural Networks (GNNs).

Tutorials

Discover a range of educational content including hands-on tutorials and code examples to get developers up and running fast on IPUs.

Ecosystem

Integrated with ML frameworks and libraries including PyTorch, PyTorch Geometric, TensorFlow2, and Hugging Face Optimum.

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Easily pay for additional time as your computing needs grow and access a wider selection of IPU instances around the clock.

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Instances outside of the free tier are charged at a flat hourly rate. Easily upgrade, downgrade or stop at any time. Only pay for what you use.

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Upgrade from mid-range IPU instances to our most powerful Bow Pod16 system for up to 40% faster performance and efficiency.

Scale

Upgrade and scale to larger and more powerful IPU systems with no runtime limits. Benefit from enhanced performance across training, fine-tuning and inference.

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Easily create private notebooks that are only accessible to you or the teammates you choose to share and collaborate with.

Storage

Access up to 50GB of notebook storage included with Gradient subscriptions. Easily manage and buy extra storage as you grow.

More Resources

Paperspace

Announcement Blog

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paperspace-blog

Getting Started Blog

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Stable Diffusion on IPU Blog

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