The Deep Edge Podcast

Powerful GPUs are only part of the AI equation. The networks connecting them play a critical role in performance, efficiency, and scale. Join Ray Mota of ACG Research and Bill Gartner of Cisco for a discussion on how optical networking and interconnect infrastructure are evolving to support increasingly demanding AI workloads. In this conversation: - Connecting AI infrastructure across distributed data centers - How packet loss and latency affect GPU utilization - Advances in coherent optics ...

In this episode of the Deep Edge Podcast, host Ray Mota sits down with AE from HPE Juniper to break down the massive shift happening in networking and AI infrastructure. From multi-data center connectivity to edge computing and self-driving networks, they dive deep into how modern networks are evolving to support the heavy demands of AI workloads. In this episode, we cover: Scale-Up, Scale-Out & Scale-Across: Why AI is inherently a distributed application and how backend networks (DCI, ...

In this episode of The Deep Edge Podcast, host Ray Mota sits down with Ari Weil, Vice President of Cloud Computing and Delivery Product Marketing at Akamai, to examine the real economics of AI inference. Token pricing may be the most visible line item, but it does not tell the whole story. Ray and Ari discuss how network egress, cross-region data transfers, latency, model placement, and increasingly complex agentic and RAG workflows can reshape the total cost of running AI in production. Th...

What if a message could be protected by the laws of physics—not just by encryption? In this video, we explore the real promise of quantum networking and the science behind the no-cloning theorem, quantum entanglement, trusted nodes, quantum repeaters, and the race to build a true end-to-end quantum internet. We also look at what is working today, including China’s large-scale quantum communication network, and what is still holding the industry back. The biggest challenges are not the theor...

For the last two years, the AI infrastructure conversation has been dominated by GPUs. But as AI clusters scale to tens of thousands — and eventually hundreds of thousands — of GPUs, the real bottleneck is shifting. The next AI infrastructure challenge is not just compute. It is interconnect. In this episode of The Deep Edge Podcast, Ray Mota breaks down why optical networking is becoming the foundation of AI data centers. From 800G and 1.6T optics to Linear Pluggable Optics, Co-Packaged Opti...