Networking and AI
A look at how machine learning changed data center traffic, what large AI systems ask of networks now, and which changes may come next.Continue reading on Medium »
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A look at how machine learning changed data center traffic, what large AI systems ask of networks now, and which changes may come next.Continue reading on Medium »
An AI agent reviewed our sandbox network design, caught routers hanging off the spines, and asked one question that turned a Clos fabric into a two-tier vPC design.
As AI data centers scale, the way computing resources connect is becoming increasingly important to infrastructure performance and business value. High-performance XPUs are being d...
Rev Up to Recert: Stack answers a hard truth about AI in networking: understanding it isn't enough. You also need to build the infrastructure behind it, operationalize it so it per...
AI data centers rely on more than compute. See how Cisco unifies white and gray space to strengthen uptime, security, and efficiency.
As the telco industry transitions toward Autonomous Networks Level 4, a fundamental architectural challenge has emerged: how do you build a secure, reliable and interoperable AI ha...
Ciena says AI is accelerating a multiyear network investment cycle, boosting demand for optical networking, data center connectivity, and high capacity bandwidth. As AI traffic res...
Rob Shore, head of optical networks solution marketing at Nokia Network Infrastructure, said AI is generating significantly more bandwidth demand between locations, including data...
Bandwidth scaling is no longer enough to satisfy demand coming from AI applications at the home. Providers need a resilient, intelligent network that delivers the performance that...
AI is triggering a multiyear re-architecture of network infrastructure, says Ciena, driving higher bandwidth demand and making optical connectivity increasingly critical from long-...
Kids can learn why BGP matters in a semester, but that won’t leave them ready to implement it
As AI scales, security must span every layer. See how Cisco delivers trust from silicon to the optical network.
And you'll trust agents to do that for the same reason you no longer worry about automatic transmissions
SPONSORED POST: Why training AI across multiple sites is creating a new networking challenge
AI's infrastructure isn't just about chips and data centers. It's about the fiber, wireless, satellite, edge and power infrastructure required to move intelligence everywhere.
The alliance is expanding its focus on AI RAN services while tackling workload placement, infrastructure sharing, and the commercial case for turning mobile networks into distribut...
From the newsletter (September 25; sign-up or follow if you want it sooner): Rakuten Mobile and T-Mobile offer tangible AI-RAN examples, embedding intelligence in network automatio...
Jungchul Kim, head of product strategy group, networks business at Samsung Electronics, told RCR that physical AI applications will place specific demands on networks, including ul...
Cisco and NVIDIA introduce an AI inference routing blueprint to help service providers turn distributed capacity into carrier-grade, sovereign AI services.
Ericsson is framing AI RAN as a two-sided transformation: networks must use AI to improve their own performance while also evolving to support a new generation of AI applications I...
<p>An AI-ready private cloud is not simply a private cloud with GPUs added to it. What determines whether a private cloud platform can actually serve <strong>AI workloa...
The availability of resources for AI workloads can be challenging across the industry, especially accelerators. This can slow your AI workload deployment if it’s built around a spe...
AI-RAN now has measurable radio gains, but the investment case changes sharply with where capacity is constrained. Software on the installed RAN has the clearest near-term economic...
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