Nvidia AI Enterprise 2.1 bolsters support for open source

by | Jul 25, 2022 | Technology

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Nvidia is updating its AI Enterprise software suite today to version 2.1, providing users with new commercially-supported tools to help run artificial intelligence (AI) and machine learning (ML) workloads for enterprise use cases.

Nvidia AI Enterprise first became generally available in August 2021 as a collection of supported AI and ML tools that run well on Nvidia’s hardware. In the new release, a core component of the software suite is an updated set of supported versions of popular open-source tools, including PyTorch and TensorFlow. The new Nvidia Tao 22.05 low-code and no-code toolkit for computer vision and speech applications is also included, as is the 22.04 update for Nvidia’s Rapids open-source libraries for running data science pipelines on GPUs.

“Over the last couple of years, what we’ve seen is the growth of AI being used to solve a bunch of problems and it is really driving automation to improve operational efficiency,” Justin Boitano, VP of enterprise and edge computing at Nvidia. “Ultimately, as more organizations get AI into a production state, a lot of companies will need commercial support on the software stack that has traditionally just been open source.”

Bringing enterprise support to open-source AI

A common approach with open-source software is to have what is known as an “upstream” community, where the leading edge of development occurs in an open approach. Vendors like Nvidia can and do contribute code upstream, and then provide commercially supported offerings like Nvidia AI Enterprise, in what is referred to as the “downstream.”

“When we talk about popular AI projects like TensorFlow, our goal is absolutely to commit as much as possible back into the upstream,” Boitano said.

With Nvidia AI Enterprise, the open-source components also benefit from integration testing across different frameworks and on multiple types of hardware configuratio …

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