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AI · January 23, 2021

GD

Garnet – Distributed Python on Kubernetes

Garnet (https://garnet.ai) is a framework to run distributed and parallel Python on Kubernetes. We make it easy to scale from laptop to cluster, without requiring any devops work. Garnet plugs into any existing Python environment (notebook, IDE, CI/CD pipelines, custom apps) using a lightweight client library, and enables users to scale popular data/ml libraries (including pandas, NumPy, scikit-learn, XGBoost, etc.) and custom code to a remote cluster for execution. Under the hood, we natively wire up Dask with Kubernetes for scheduling, which brings advantages such as…

Garnet – Distributed Python on Kubernetes launched on January 23, 2021 with 5 votes, #1,387 of 3,157 launches that month and more than 50% of that year's launches.

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What it does

In the maker’s words, at launch

Garnet (https://garnet.ai) is a framework to run distributed and parallel Python on Kubernetes. We make it easy to scale from laptop to cluster, without requiring any devops work. Garnet plugs into any existing Python environment (notebook, IDE, CI/CD pipelines, custom apps) using a lightweight client…

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Source: Show HN post ↗ · launch text quoted in part

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