By ET Bureau - July 13, 2021 2 Mins Read
The scalable Dask-powered cloud platform Coiled, which launched earlier this year at the Dask Distributed Summit, announces their Coiled Partner Program today at SciPy. The partnership program ensures Prefect, MetroStar, and Quansight customers have the Python tools and services needed to solve important problems without limitations.
Python is the most popular programming language in the world today and has an extensive ecosystem of open-source packages. And Dask is the most popular Python-native package for big data. As customers look to build cloud first ML applications, they are turning to Coiled to scale their applications on the cloud.
Prefect , the global leader in dataflow automation, previously used Dask to scale data workloads. Now Prefect customers can use Coiled to scale computationally intensive data workload tasks on the cloud.
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“The Prefect/Coiled strategic partnership provides a more streamlined experience for our users, community, and customers,” said Jeremiah Lowin, CEO/founder of Prefect. “Our collective teams are working together to provide a wide range of deliverables that will help companies more easily manage, orchestrate, and execute their workflows.”
MetroStar ‘s partnership with Coiled expands its commitment to support data scientists building high-impact bespoke applications in the cloud.
“MetroStar is proud to partner with Coiled to promote the extensive open-source and scientific community. Together, we are committed to continuing the important work of fostering critical insights for the development, delivery, and support of innovative technologies,” said Hussain Sultan, Director of Artificial Intelligence at MetroStar.
Additionally, Quansight has partnered with Coiled to further its mission to provide expert-level services for businesses that want to implement — or improve — their data science workflows with the latest open-source software.
“We look forward to partnering with Coiled to ensure Dask continues to grow as a trusted backbone for scaling data science and machine learning workflows,” said Travis Oliphant, CEO/CTO, Quansight.
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