Fully managed Notebooks for exploring data & building models. Note, this page has information about our legacy AI/ML Notebooks, which we do not recommend for new customers.
Launch a GPU-enabled Jupyter Notebook from your browser in seconds. Use any library or framework. Easily invite collaborators or share a public link.
Choose a pre-built template or bring your own. Start coding. Start, clone, and stop your Notebook anytime. Collaborate by inviting collaborators, and generate a public link to share.
Transition your projects smoothly with tools designed for easy migration from other platforms or services.
Execute Jupyter files and projects in other languages e.g. Python with full syntax highlighting.
Scale up training with a full range of GPU options with no runtime limits.
Run any common ML frameworks as well as courses like Fast.ai. New integrations coming soon!
Notebooks are built on lightweight and portable Docker containers so startup time is lightning fast.
Create a team, invite collaborators, and set permissions. Fork public projects or create your own.
"Story.com’s GenAI workflow demands heavy computational power, and DigitalOcean’s H100 nodes have been a game-changer for us. As a startup, we needed a reliable solution that could handle our intensive workloads, and DO delivered with exceptional stability and performance. From seamless onboarding to rock-solid infrastructure, every part of the process has been smooth. The support team is incredibly responsive and quick to meet our requirements, making it an invaluable part of our growth.
Deep Mehta
Co-Founder and CTO, Story.com
Read our docs for more information on Notebooks and GPU pricing.
Notebooks are still accessible through the legacy AI/ML console, but we do not recommend new customers sign up for this product.
GPU Droplets are powered by NVIDIA H100s and can be used for a variety of AI/ML use cases.