NetBook connects all your local and cloud servers to manage workloads across your entire infrastructure seamlessly from a single dashboard. Spin up ML workspaces, training jobs, collaborate with the team, monitor resource usage in seconds.
Connect all your on-premise and cloud accounts to NetBook from UI. Work seemlessly.
Create and distribute custom development environments for faster setup and reproducibility. Share work with the click of a button.
Spawn and launch your workspaces directly from the dashboard. Pause and Stop at will.
Unified dashboard for scheduling, monitoring, and sharing training jobs across the team. Notifications for job start, completion, error, and metric thresholds.
Real-time and historical resource utilization dashboards. Single point for managing servers across local and multiple providers.
Configurable timeouts, billing alerts. Custom alerts and triggers for auto-shutdown and restart of instances.
Install NetBook on local servers and cloud providers. NetBook manages on-demand provisioning of workspaces.
Choose a base image from our library or create a custom image for the coding environment. Collaborate seamlessly by directly sharing your environment image.
Select preferred IDE, we support JupyterLab, VSCode, and Rstudio now. Choose required CPU cores, RAM, and if GPU is required.
Check all current running and historical infrastructure usage to plan better optimization strategies. No more communication overheads on teams to coordinate server usage.
No more losing track of servers spread across local and cloud instances. With NetBook all the data is in a single place to manage without breaking a sweat.
Better cloud governance with customizable auto showdown triggers, cloud billing limits at individual and provider lever, alerts for the same.
We provide integrations to variety of data science tools for you to effectively manage your data science training and deployments.
to track experiments seamlessly from Jupyter itself.
to start quickly
Time saved for ML developers by automating infrastructure management.
Money saved with better cloud governance.
Faster time to production for ML teams using NetBook.