2 years ago

Category: Software, Business, Data, Kubernetes, automation, machine-learning, artificial-intelligence

Nvidia added another piece to its widening artificial intelligence computing portfolio Aug. 24 with the full, general availability, release of its AI Enterprise suite of software tools and frameworks designed to expand the accessibility of AI and machine learning capabilities to a wider range of enterprises. The company, which for several years has made AI a central part of its growth strategy and advanced that effort through a deep and multilayered partnership with VMware announced in 2020, first unveiled AI Enterprise in March, making it available to select customers via an early access program. With the release of AI Enterprise 0, Nvidia is bringing AI training and inferencing into the reach of enterprises that have been looking to leverage the technologies in their data centers but had to contend with the high costs and complexities of having to pull together many of the specialized tools and other components themselves while they’re already facing a widening skills gap. AI is difficult to implement, and the reason is because, on the one hand, it’s an end-to-end problem, from the acquisition of data and training to produce models and then deploy the models in production,” Manuvir Das, head of enterprise computing at Nvidia, said during a press briefing about AI Enterprise 1.0.

What this means for an enterprise customer [that] for the first time is doing AI on-premises, is having an expectation that if they pick a particular version of VMware and a particular version of Nvidia Enterprise AI, then they have the backing from both Nvidia and VMware that these systems are tested together and certified to run in production in any environment that the customer chooses to run them,” Das said.