Scale any machine learning pipeline from a single server to hundreds of
cloud instances with zero friction.
Run any local machine learning pipeline on a fleet of cloud instances without any change in your code. Zero hassles in data migration and environment setup for new cloud servers.
Compatible with any machine learning framework. Run large-scale computation on PetaBytes of data with any R / Python / Java / C++ code.
Unlimited persistent storage for all of your tasks. Never worried about hard drive filling up during the execution of your jobs. Scaling your task to thousands of CPUs and hundreds of GPUs with zero friction.
Cloud resource (CPU/GPU/RAM) utilization tracking and machine learning experiment analysis. Transparent overview of your cloud spending for each of your task.