By @SiliconANGLE
Publication Date: 2026-02-13 19:54:00
The hyperconverged edge is where AI factories collide with wireless networks.
That shift is forcing telecom infrastructure, enterprise networking and compute architecture to converge in ways the industry has long discussed but rarely executed. Nvidia’s push to extend artificial intelligence beyond centralized data centers is accelerating that change, and companies such as Veea Inc. are aligning architectures accordingly. The real issue is whether telecom operators will actually capitalize on this opportunity, according to Allen Salmasi (pictured), chairman and chief executive officer of Veea.
“I really believe that this is a huge opportunity for telcos to effectively come out of this dump pipe type of service offering and really provide for a lot of value added into the use cases that are running at the edge,” Salmasi said. “Effectively for that, there are a number of architectures that they can integrate into their telco infrastructure, especially given the fact that we used to have these huge SS7 switches at telco aggregation points that are no longer the case because the core network has shrunk into smaller racks of equipment.”
Salmasi spoke with theCUBE’s John Furier for theCUBE + NYSE Wired: AI Factories – Data Centers of the Future interview series, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They explored how Nvidia’s AI strategy is converging with telecom networks at the edge, among other…
