When we started building Paperspace we knew that GPU’s were going to unlock an entirely new universe of possibilites for what cloud computing would be able to do. Over the last couple years we have seen an explosion of software and tools built specifically for parallel compute, and with that a whole new set of workflows.
It is an understatement to say that the rise of deep learning and AI has opened up new frontiers for not only cloud computing, but for the entire world. New businesses are being created every day where modern deep learning is at the core of the business model, and for existing businesses in every industry, deep learning is becoming an increasingly important part of future strategy.
A year ago we announced full support for machine learning, AI, and data science with the introduction of our powerful dedicated GPU instances and our Machine-Learning-in-a-Box template. Tens of thousands of users have used these tools to build things from genomics to cancer detection, to self-driving cars.
Today we are excited to announce our biggest and most ambitious product to date — Gradient°.
Gradient° is a suite of tools designed to accelerate cloud AI and machine learning. It includes a powerful job runner (that can even run on the new Google TPUs!), first-class support for containers and Jupyter notebooks, and a new set of language integrations.
With our emphasis on language integration, you can seamlessly run your existing python projects on the most advanced GPU infrastructure without having to ever leave your code.
We are excited to see what you build! Sign up today at www.paperspace.com/gradient
Chief Product Officer
Originally published at blog.paperspace.com on March 23, 2018.
Source: Deep Learning on Medium