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Inside Cisco’s approach to edge AI: Tune in to theCUBE on July 29

Cisco Systems Inc.'s Unified Edge platform, winner of the 2026 Tech Innovation CUBEd Award for most innovative IoT or edge platform, addresses the fragmentation and infrastructure challenges enterprises face when deploying AI at the edge, according to theCUBE Research Chief Analyst Dave Vellante. In a CUBE Conversation airing July 29, Cisco Compute director of product management James Leach will discuss how the modular platform scales from one server to five servers and five GPUs, allowing customers to avoid overbuying infrastructure while integrating Cisco's computing, networking, and security technologies with Intersight for centralized management.

read4 min views4 publishedJul 24, 2026
Inside Cisco’s approach to edge AI: Tune in to theCUBE on July 29
Image: Siliconangle (auto-discovered)

Inside Cisco’s approach to edge AI: Tune in to theCUBE on July 29

Organizations are expanding their use of edge AI infrastructure as workloads move beyond traditional data centers, creating new demands on systems designed for an earlier era of computing.

Cisco Systems Inc.’s Unified Edge platform, winner of the 2026 Tech Innovation CUBEd Award for the most innovative IoT or edge platform, was designed to address this mismatch. The challenge involves more than supporting increasingly demanding workloads, according to theCUBE Research’s Chief Analyst Dave Vellante (pictured, left).

“We certainly hear from enterprises all the time that edge environments are fragmented,” Vellante said. “You get … different hardware, different protocols [and] different security, so it’s a very, very difficult problem. Now, you bring in AI. The infrastructure that’s at the edge today is not built for AI.”

In an exclusive CUBE Conversation airing Wednesday, July 29, from noon to 1 p.m. ET, Vellante will talk with James Leach (right), director of product management for Cisco Compute, about the infrastructure challenges created by moving AI to the edge and how organizations can prepare for changing requirements without locking themselves into rigid technology decisions.

Flexible edge AI infrastructure for evolving demands

Cisco designed Unified Edge as a modular platform that can scale from a single server to configurations with up to five servers and five GPUs, along with storage and security capabilities. The approach is intended to help customers avoid overbuying infrastructure before they understand what their edge AI deployments will require, according to Leach.

“This is truly like a get-out-of-jail-free card for these IT folks who have to make these choices based on information that the line of business may not have fully communicated to them about what AI applications they need at the edge,” he said. “This gives them a way to build the infrastructure today and grow it as the business needs it so that they can show that return on investment that they need to justify this type of an investment in their own AI journey.”

During the broadcast, viewers will hear how that modular approach could help enterprises begin deploying edge AI infrastructure while retaining the flexibility to expand as applications and business requirements become clearer.

Unified Edge also brings together Cisco’s computing, networking and security technologies and integrates with Intersight to centrally manage edge AI infrastructure. Combining those capabilities is intended to reduce the integration burden on customers, according to Leach.

“Cisco, the last few years, has really focused on building itself internally and externally so that we can deliver all of these technologies to customers without … just giving them a bunch of Lego blocks and telling them to build a solution,” he said. “Here, we’re able to bring the best of Cisco technologies together … and [give] it to customers, showing them, ‘Hey, here’s a solution,’ instead of, ‘Here’s a set of tools to fix your problem.’”

The conversation will also examine how centralized management could help information technology teams oversee AI infrastructure across distributed locations where technical staffing, space and other resources may be limited.

TheCUBE event livestream

Don’t miss theCUBE’s exclusive coverage on July 29. The conversation will also be available on demand after the livestream.

How to watch theCUBE interviews

There are several ways to watch theCUBE’s coverage, including via our dedicated website and YouTube channel. You can also get coverage 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.

Image: SiliconANGLE

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About SiliconANGLE Media

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theCUBE Research,

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theCUBE AIand theCUBE SuperStudios — with flagship locations in Silicon Valley and the New York Stock Exchange — SiliconANGLE Media operates at the intersection of media, technology and AI.

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

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