Train several ML models at the same time by dynamically allocating compute resources using our zero-downtime checkpointing.
Meeshkan plays nice with all major cloud providers and most on premise solutions. Get cracking in one line of code.
Simple commands from Slack like mk-deploy and mk-containerize help your team do powerful workflows with speed and grace.
Write as many machine learning jobs in your favorite environment. Meeshkan takes care of monitoring and scheduling all of your jobs out-of-the-box without any additional code.
Change jobs' priority in real-time and keep track of algorithms' loss and accuracy with alerts. If you are linked to a cloud service, Meeshkan will automatically scale up or down servers based on your preferences.
Voyage through time with our bot-based analytics tools to understand what you've accomplished and where you're going. Easily build upon previous work with transfer learning.