Dask is lightweight, and runs your raw code on your machines without getting in the way. No virtualization or compilers. As the Python stack matures your code matures. Today Dask is 50% faster than Spark on standard benchmarks.
“At Capital One, early implementations of Dask have reduced model training times by 91% within a few months of development effort.”
“Dask also makes it easy to deploy distributed work locally using multiple Python processes in a way that is nearly identical to how full production load is distributed.”
“To further accelerate our users’ ability to scale easily on the cloud, we expanded this by setting up pre-configured Horovod and Dask clusters.”
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