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Build highly reproducible container workflows on top of a decentralized computing network. PLEX is using distributed computing and storage to run containers on a public network. Need GPUs? We got you covered. Every tool in PLEX has declared inputs and outputs. Plugging together tools by other authors should be easy. Every file processed by PLEX has a deterministic address based on its content. Keep track of your files and always share the right results with other scientists. PLEX is a simple...

...It provides an integrated Jupyter authoring notebook instance for easy access to your data sources for exploration and analysis, so you don't have to manage servers. It also provides common machine learning algorithms that are optimized to run efficiently against extremely large data in a distributed environment. With native support for bring-your-own-algorithms and frameworks, SageMaker offers flexible distributed training options that adjust to your specific workflows. Deploy a model into a secure and scalable environment by launching it with a few clicks from SageMaker Studio or the SageMaker console. ...