Gradient is a platform for building and scaling real-world machine learning applications.

Paperspace was the first company to create a GPU cloud for hackers and I've loved watching them grow over the past couple of years as they've built out an impressive portfolio of products. This release of Gradient 1.0 represents years of work to bring machine learning application development to the mainstream. Paperspace recently passed 500,000 users and are approaching 100M hours of compute consumed by users ... so if any team can make it 10x easier to build an ML app it's them!

Thanks @garrytan! We couldn’t have done it without your support. We’re calling this launch Gradient 1.0 because it’s the product that we’ve always wanted to deliver to machine learning developers. - Gradient Notebooks is a web-based Jupyter IDE with free GPUs - Gradient Workflows provides a simple way to automate machine learning tasks - Gradient Deployments helps you perform effortless model serving The thing I’m most excited about is Gradient Workflows which helps you compose machine learning tasks into higher order pipelines. Think of it as a way to assemble production ML pipelines from Day 1. We’re so excited about this launch we even made a new commercial to celebrate! With Gradient, you can build anything. Yes, anything. 🥳

Great video! It's not often that I actually like to watch these :)

A perfect platform for small teams and individual researchers

Cool! I should try👍

excellent pricing and incredible virtual GPUs