Speed up ML notebooks
in the cloud
We make data scientists more productive
sessions or batch jobs
No need to change your code or workflow. Optumi hooks into your local environment as a JupyterLab extension.
To run in the cloud, simply tell Optumi which resource to optimize for, set a cost/performance tradeoff and hit launch.
Automate machine setup and cleanup
No need to self-provision or wait on colleagues.
Optumi dynamically allocates machines, configures them to work like your local environment and runs your notebooks.
You can tell Optumi to keep machines around or automatically release them when sessions/jobs finish.
Keep track of runs
No more surprise bills or digging through cloud consoles for basic information.
With Optumi you gain real-time job insights and can see your spend at a glance.
We automatically keep a record of past runs for you to look back on (code, files, etc.).
Reduce training time by leveraging powerful CPU and GPU machines.
No manual setup required.
Freed from resource limitations,
you can work with more complex models and larger datasets.
Lower cloud bills
When spinning up and down machines is effortless, there's no need to pay for them 24/7.
Bring your favorite Python tools and frameworks without having to understand Docker containers.
Every cloud has its own way of doing things. Leverage their innovations without learning their jargon.
Free your laptop
We know there's more to your remote workday. Offloading jobs makes room for Zoom calls and Chrome tabs 🙂