PAPERSPACE LAUNCHES GRADIENT, AN ELEGANT SUITE OF MACHINE LEARNING TOOLS FOR DATA SCIENTISTS

NEW YORK — FEBRUARY 20, 2018 — Paperspace (http://www.paperspace.com) announced today the launch of Gradient, a collaborative cloud platform for building, training, and deploying machine learning models. With Gradient, data scientists and non-technical teams can tap into a robust suite of easy-to-use tools for incorporating machine learning in new applications.

 

"Machine learning is reshaping our lives, from how we work to how we date," said Daniel Kobran, co-founder of Paperspace. “Previously, only advanced technology companies had the resources needed to truly make use of the massive amounts of digital data that’s being created everyday. But with the launch of Gradient, those powerful machine learning algorithms and tools are now available to the growing number of professionals who work with data everyday.”

 

From industries ranging from genomics to entertainment, deep learning algorithms have become an inextricable part of our destinies. The growth of the digital data we produce gave rise to a new class of algorithms and tools that skilled programmers would use to extract never-before-seen insights. But, while businesses are excited about machine learning, pilots and implementations of ML and cognitive technologies have been far a few between. According to Deloitte, one of the biggest barriers preventing businesses from unlocking the true potential of machine learning is the immaturity of tools and frameworks.

 

Gradient makes powerful ML cloud infrastructure available to students, data scientists and non-technical professionals. It provides an interactive and collaborative coding environment that combines code with equations, visualizations, rich text, and other forms of media. Featuring one-click Jupyter notebooks, a powerful job runner, and a new integration that lets you add 1-line of code to run any code on a full GPU cloud,  Gradient’s powerful cloud infrastructure aims to accelerate the development of new machine learning products and services across a host of industry verticals.

 

“The launch of Gradient represents our team’s continued commitment to providing the machine learning and data science community with tools that are better designed, simpler to use, and much more intuitive,” continued Kobran.

 

Through Gradient, users can easily launch a GPU-backed Jupyter notebook that can be accessed in just a few clicks from anywhere. After reviewing the data that serves as the basis for a new machine learning model, users can then begin a job to train that model either using a base algorithm from TensorFlow or among the hundreds of pre-configured algorithms Paperspace makes available to its users.

 

Paperspace, the Brooklyn-based IaaS (infrastructure-as-a-service) provider, already powers tens of thousands of organizations with powerful turnkey virtual machines for performance-intensive applications like design, visualization, machine learning (ML), and artificial intelligence (AI).

 

Get started with Gradient today: https://www.paperspace.com/gradient

 

About Paperspace

Paperspace is the leading provider of high performance cloud computing. We offer a range of products powering everything from virtual desktops for businesses, 3D graphics and rendering for the VFX industry, Machine Learning pipelines for developers and technology companies, and gaming rigs for individuals.


To learn more about Paperspace, please visit http://www.paperspace.com/about/ or follow us on Twitter at: @hellopaperspace.