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Enterprise adoption of emerging technologies — from generative agents to industrial robotics — is often slowed by infrastructure complexity, forcing organizations to undertake costly overhauls. But two of the industry’s titans, Dell Technologies Inc. and Nvidia Corp., are actively working to accelerate enterprise AI adoption by focusing on turnkey solutions that fit within the existing data center footprint. The core of this strategy, centered on the Dell AI Factory with Nvidia, has generated immediate and significant customer momentum, demonstrating that the market strongly favors easily adoptable solutions, according to Varun Chhabra (pictured, center), senior vice president of product marketing at Dell. “We’ve had over 200 new releases in … 18 months, so the pace of joint technical innovation between our companies has been absolutely smoking,” he said. “Then, it shows up in the market momentum, as well: We have over 3,000 customers. Yes, that’s not a typo: 3,000 customers in 18 months using the Dell AI Factory with Nvidia. That would never have happened if Dell and Nvidia had not committed together to create turnkey solutions, easy to adopt, really targeted at what our customers are looking for and have the agility to be able to adjust and react to needs as they evolve.” Chhabra joined Jason Schroedl (right), director of product marketing, enterprise platforms, at Nvidia, and analyst Rob Strechay (left) for the “Fast Path to AI With Dell PowerEdge and NVIDIA” launch event, during an exclusive interview on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the momentum of their joint solutions, the technical capabilities of the new air-cooled PowerEdge servers and how the partnership is working to simplify the complex journey to enterprise AI at scale. (* Disclosure below.) Accelerating enterprise AI adoption from pilot to global scale The newest iteration of the PowerEdge XE servers — specifically the XE7740 and XE7745 models — is designed as a flexible platform that enables customers to scale graphic processing unit-accelerated workloads from small proof-of-concepts up to full global rollouts. A critical element of this design is the use of air-cooled technology for these powerhouses, removing the significant barrier of retrofitting or introducing liquid cooling to deploy cutting-edge hardware, according to Chhabra. “These servers … I think of them as the Swiss Army Knife for AI and GPU-accelerated workloads,” he said. “They let customers scale up to eight PCIe-based GPUs per server, including the brand new Nvidia RTX Pro 6000 Blackwell Server Edition.” The versatility of the new platform is reflected in the breadth of use cases it supports across various industries, including manufacturing, healthcare, financial services and the public sector. This capability to support everything from generative and agentic AI to digital twins and industrial robotics is a direct result of integrating the powerful Blackwell architecture into enterprise-friendly systems — an important step toward broadening enterprise AI adoption, according to Schroedl. “The RTX Pro 6000 Blackwell Server Edition is at the heart of that, really enabling a wide range of different use cases for AI in existing enterprise data center environments as they build out these AI factories,” he said. “The Dell portfolio of servers … has just a phenomenal breadth of use cases that enterprises can run — everything from agentic AI and generative AI, leveraging some of the capabilities we’ve built together with Dell and use cases for things like content generation, code generation, digital assistance or for a wide range of different visual computing cases.” Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the “Fast Path to AI With Dell PowerEdge and NVIDIA” launch: (* Disclosure: TheCUBE is a paid media partner for the “Fast Path to AI With Dell PowerEdge and NVIDIA” launch. Neither Dell, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.) Photo: SiliconANGLE
