Paperspace, a Brooklyn-based Infrastructure-as-a-Service (IaaS) provider, has announced the launch of its Gradient solution to put the power of artificial intelligence (AI) into the hands of every developer. With Gradient, AI and machine learning developers of all levels can tap into this dedicated cloud of AI solutions for building, training and deploying machine learning applications.
“There’s no denying that AI is the future of every industry, but today’s complex cloud ecosystem coupled with a massive skills gap are threatening innovation,” said Daniel Kobran, co-founder of Paperspace. “You shouldn’t need decades of experience to build intelligent applications. We designed Gradient to remove infrastructure bottlenecks so that any developer can build a production-ready cloud AI pipeline.”
Gradient is a suite of enterprise-ready tools that makes developing cloud AI as simple as building a modern web service, according to Paperspace. Featuring one-click Jupyter notebooks, a “powerful” GPU job runner and a new integration that lets users add 1-line of code to run any code on a full GPU cloud, Gradient works to turn raw infrastructure into the building blocks for intelligent applications. The mission behind Gradient is to accelerate the development of new machine learning products and services across a host of industry verticals.
“Gradient represents our team’s continued commitment to providing the machine learning community with tools that are powerful, yet easy to use,” added Mr. Kobran. “Our mission is to make every developer an AI developer.”
Gradient would include additional “enterprise-ready” services such as data integrations, powerful user management and access control, and the ability to orchestrate across cloud providers – all designed to give any company access to a comprehensive platform for building AI applications.
The Brooklyn-based IaaS (infrastructure-as-a-service) provider, Paperspace, already powers tens of thousands of organizations with turnkey virtual machines (VMs) for performance-intensive applications like design, visualization, machine learning and artificial intelligence.
To learn more about Gradient, visit the Paperspace website.