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Autoscaling

scale products, not costs

Working with large datasets? You can start a Dask, Spark or Ray cluster tailored to your task within seconds, right from within Jupyter. Idle compute nodes will be auto-cleaned by a sophisticated garbage collection system.

Scale up in Seconds, Not Weeks

Scale up workloads to hundreds of compute nodes with a single line of code.

Spin up a distributed cluster

Parallelize any loop in dask 

Ready to scale when you are

Auto-scalable
Effortlessly spin up real-time model serving endpoints that auto-scale with load
Garbage Collection
Automated garbage collection clean up idling nodes for cloud resources

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Resources spent on data operations are resources not spent on your product. Improve your solution with less time and money spent.

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Get first-hand experience of the Shakudo Platform through our sandbox environment.