Nokia‘s CEO and President, Justin Hotard, claimed a completely new network topology is required to support the growth of AI traffic. He went on to point to the predictable nature of traditional traffic currently flowing across today’s infrastructure.
“The concept of scale up to scale out to scale across has accelerated and ultimately the unit of networking is changing to meet the demands of the workload”, he said at keynote 10 of MWC26.
Traditional traffic – voice, data and video – that drives the primary volume on existing networks today is quite predictable, said Hotard.
“It’s quite linear. Whereas, it’s very different with AI. The traffic we’re modelling in networks today, and the traffic we’re capturing out of networks today is completely different. It’s bursty, it’s dynamic and sometimes it’s uplink constrained”.
“We’re seeing this change with chatbot engagements, we’re seeing it with M2M communications, for example, We’re sharing images, seeing video directing actions, it’s all very dynamic. It’s not about voice, it’s not about data, it’s not about video, it’s about something new, which is the token. And ultimately the traffic is token driven not stream driven”.
Warming to his theme, the CEO added: “With the right latency, the right performance, the right quality, the right security and ultimately the right level of trust we have what we call deterministic connectivity. The individual device getting the token it needs to take the actions and the decision it needs. This is a structural shift”.
“AI native networks will carry the performance, the capability and the bandwidth to support video, data and of course, voice. This is the architectural shift that’s needed. It also has tremendous implications for the networks that we’re designing and building today. But when we understand what’s happening with AI and we recognise the need to build truly AI native networks, we realise that this silo model has to be broken”.
Source: Mobile World Live
Image Credit: Nokia
