Experiment orchestration for easy MLOps 🚀
Optumi executes your ML experiments in the cloud without you having to set up infrastructure
Leverage the same functionality in both the API and web app
How does Optumi help?
Optumi offers data scientists and ML engineers a better experimentation and model training experience in the cloud. Use our Python library to launch jobs and our web UI to monitor and manage them while we automate all infrastructure-related tasks.
Run experiments and see them all in one place
Launch on powerful resources in a few lines of Python. Optumi dynamically allocates cloud machines and executes your code.
Keep track of machines and how much you're spending
Make sure there’s no idle GPUs laying around. Optumi makes it dead simple to see what resources you have running.
View job summaries, logs and notifications on the go
Get texts or emails that update you on job status. You can even configure them on your phone after the job starts running.
See how each resource is being utilized over time
No need to dig through cloud consoles or use DevOps tools. Optumi gives you relevant information in a consumable way.
Functionality
Workload execution 🚀
Run jobs (background execution) or sessions (interactive cells) using Jupyter notebooks, Python scripts or Docker containers.
Workload monitoring 
Easily view and manage all your workloads in one place. Use our web UI at your desk or on the move.
Resource automation ⚙️
Select from a wide variety of instances. Optumi dynamically provisions them and shuts them off when jobs finish.
Resource insights 
Better understand how resources are being used with intuitive utilization graphs and easy cost tracking.
Data source integrations 🌉
Easily connect to common data sources (e.g. S3, BigQuery) with integrations and environment variables.
Status notifications 📲
Get notified via SMS, email or Slack channel when jobs start, succeed or fail. No more babysitting code.