ITBusinessToday

Gradient Installer Launches To Deliver AI Development For Any Cloud, Anywhere

AI Development For Any Cloud

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:

The latest version of the Gradient Installer also includes the following major updates: