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Gradient Installer Launches To Deliver AI Development For Any Cloud, AnywhereNEW YORK, Aug. 6, 2020 /PRNewswire/ -- Paperspace announced today the launch of Gradient Installer, an open source installation package that developers can use to turn their own GPU machines — whether locally or in the cloud — into a fully featured machine learning platform. The release offers a self-service approach to deploying the Gradient MLOps platform — without any support required — in under 10 minutes. "Developers today have few options if they want to build ML pipelines on their own GPUs: they need to build the software themselves or hack together open source components," said Daniel Kobran, COO, Paperspace. "These approaches are time-consuming, expensive, and prone to a host of compatibility issues. That's why we've released Gradient Installer to offer a better way to bring MLOps software to any cluster — within minutes." The new self-hosted Gradient offering makes the enterprise-grade machine learning platform easy to install and run on your own without. There is managed and unmanaged support for AWS, GCP, Azure, Paperspace Cloud, or private servers — so you can always bring your model training and inference close to where your data lives. The platform is effortless to adopt. After going through a quick install, teams experience drastic decreases in model build-to-deployment time within days of adoption. Other features and benefits of Gradient Installer include:
To get started on Gradient Installer, visit https://gradient.paperspace.com/gradient-installer About Paperspace Paperspace is backed by leading investors including Battery Ventures, Intel Capital, SineWave Ventures, Y Combinator, and Initialized Capital. To learn more about Gradient, please visit https://gradient.paperspace.com/ or follow us on Twitter at: @hellopaperspace. View original content:http://www.prnewswire.com/news-releases/gradient-installer-launches-to-deliver-ai-development-for-any-cloud-anywhere-301107718.html SOURCE Paperspace |