In the growing AI ecosystem, specialized cloud platform provider CoreWeave Inc. is defining its role as a cost-efficient resource for companies seeking to deploy AI with less investment and effort.
Two announcements over the past five months stand out as key indicators in this regard. The first was CoreWeave’s launch in May of a new offering that gave enterprises with the ability to deploy AI agents that can learn and improve themselves autonomously using real-world data. The second was the news this month that the company would introduce a Physical AI Field Engineering service designed to bridge the gap between industrial domain expertise and applied machine learning.
As CoreWeave prepares to hold its inaugural user conference in San Francisco later this month, industry analysts will be looking for further evidence of the company’s impact on the AI conversation.
“Some interesting trends have developed that I think are going to make it very interesting at this event,” said theCUBE Research’s John Furrier, during an interview in advance of the conference. “One is a new term that has been kicked around in industry circles called ‘asset light,’ which means that you don’t have to spend billions and billions of dollars to get AI intelligence. That’s driving a lot of people to say, hey, I’ll just go to CoreWeave.”
TheCUBE, SiliconANGLE Media’s livestreaming studio, will be covering the latest news and announcements from CoreWeave Fully Connected in San Franccsco, Sept. 30-Oct. 1. Tune in for on-site reporting and exclusive interviews with CoreWeave executives and industry leaders as theCUBE explores how CoreWeave and the broader AI infrastructure ecosystem are addressing the system-level challenges of operationalizing AI to run increasingly complex models and applications at production scale. (* Disclosure below.)
Cloud platform for the AI era
Founded in 2017 under a different name, CoreWeave made a successful pivot in 2019 from a cryptocurrency mining shop to renting surplus, discounted GPU power. Since then, it has diligently built cloud infrastructure for AI inference and training to support model and agent deployment.
The company’s launch of autonomous improvement capabilities for AI agents was designed to address issues it discovered within its own infrastructure. The process of building and testing agents before they could reach real users had become slow and expensive.
CoreWeave said that its autonomous improvement capabilities for AI agents could reduce costs by over 40% and accelerate training by about 1.4 times with no loss in quality. This is the kind of performance bottleneck that CoreWeave is seeking to remove for its customers, according to the company’s Chief Marketing Officer, Jean English.
“They’re looking for the place to develop agents and apps and to do their training or inference at the speed, at the scale and the rate that they need to get out into the market fast,” English told theCUBE. “It’s the performance. They cannot be slowed down, and they cannot have latency, and they cannot have any gaps in terms of how they think about observability. They need a true partnership to make that happen and someone that’s going to work side-by-side with them.”
Capitalizing on Nvidia validation
Speakers at the upcoming conference include a high-ranking executive from Nvidia Corp., which comes as no surprise given the close partnership CoreWeave has forged with the AI computing giant.
In early June, CoreWeave announced that it had completed what was described as the industry’s first bring-up and validation of Nvidia Vera Rubin NVL72 on CoreWeave Cloud. The release highlighted deeper systems work behind the deployment, including liquid cooling, rack control, networking, and secure multi-tenant operations.
The Nvidia partnership and other market factors may be providing a tailwind for CoreWeave. In August, the company indicated that its revenue backlog was approximately $104 billion as of June 30. That number did not include more than $25 billion in net new customer commitments added in early third quarter.
“There is so much demand in the market right now for the AI infrastructure that we provide,” English said. “We see this through clients coming to us who have tried something else and they didn’t get the reliability they needed. It’s bringing things up, bringing it up and validating it first to market as we did with Vera Rubin. All of that is an ecosystem that we serve and the ability for us to do that with the partnership that’s required is what we really see as a big differentiator.”
TheCUBE event livestream
Don’t miss theCUBE’s coverage of CoreWeave’s Fully Connected event, Sept. 30-Oct. 1. Plus, you can watch theCUBE’s exclusive content on demand after the event.
How to watch theCUBE interviews
We offer you various ways to watch theCUBE’s coverage of CoreWeave’s Fully Connected event, including theCUBE’s dedicated website and YouTube channel. You can also get all the coverage from this year’s event on SiliconANGLE.
TheCUBE podcasts
SiliconANGLE’s “theCUBE Pod” is available on Apple Podcasts, Spotify and YouTube, which you can enjoy while on the go. During each podcast, SiliconANGLE’s John Furrier and Dave Vellante unpack the biggest trends in enterprise tech — from AI and cloud to regulation and workplace culture — with exclusive context and analysis.
SiliconANGLE also produces our weekly “Breaking Analysis” program, where Dave Vellante examines the top stories in enterprise tech, combining insights from theCUBE with spending data from Enterprise Technology Research, available on Apple Podcasts, Spotify and YouTube.
Guests
During theCUBE’s coverage of CoreWeave’s Fully Connected event, company executives and industry analysts will explore how CoreWeave and the broader AI infrastructure ecosystem are addressing the system-level challenges of operationalizing AI to run increasingly complex models and applications at production scale.
(* Disclosure: TheCUBE is a paid media partner for the Fully Connected event. Neither CoreWeave, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)
