Cisco and SoftBank Corp.: Harnessing the Potential of Mobile Edge Computing
5:03
Mobile edge computing has the power to fuel AI innovation and transform industries like robotics. Ryuji Wakikawa (SoftBank) and Masum Mir (Cisco) unpack this, and explore how Cisco AI Grid with NVIDIA can help telecom operators become AI enablers.
Related Videos
In AI Networking
-
Play video Under the Hood – AI infrastructure: Rethinking the Network OS as a platform for Hyperscalers
Under the Hood – AI infrastructure: Rethinking the Network OS as a platform for Hyperscalers
Will Eatherton talks with Cisco Technical Fellow Praveen Bhagwatula about how hyperscalers are turning the network OS into a programmable platform: custom protocol stacks, real-time telemetry feedback loops, and co-design with Cisco Silicon One.
18:37
-
Play video Under the Hood - AI Infrastructure: AI-Driven Network Automation
Under the Hood - AI Infrastructure: AI-Driven Network Automation
Cisco's Viktor Leijon joins Will Eatherton to explore how AI is reshaping network automation, from Cloud Control and AI Canvas to identity, digital twins, and the evolving role of network architects.
16:53
-
Play video Under the Hood: Beyond the GPU - Why Networking Is the Real AI Infrastructure Play
Under the Hood: Beyond the GPU - Why Networking Is the Real AI Infrastructure Play
AMD's Soni Jiandani joins Will to explore why networking determines AI cluster performance. They cover DPU architecture, the UEC standard, front vs. back-end networks, zero trust security, and the AMD-Cisco partnership.
37:12
-
Play video Scaling AI with Cisco Ethernet for Future-Ready Infrastructure
Scaling AI with Cisco Ethernet for Future-Ready Infrastructure
Is your network AI-ready? Will Eatherton explains how Cisco’s Ethernet-based innovations simplify deployment and secure your infrastructure, helping you scale AI clusters with enterprise-grade reliability and peak performance.
25:18
-
Play video Tête-á-Tech: A Sit Down with Cisco and Computacenter
Tête-á-Tech: A Sit Down with Cisco and Computacenter
AI demands robust infrastructure. In the latest Tête-à-Tech, we joined Computacenter to bridge the gap between AI ambition and network reality. We move past the hype to discuss building scalable, simple foundations for modern AI workloads.
2:56
-
Play video Cisco meets AI capacity demands with innovations in optical transport
Cisco meets AI capacity demands with innovations in optical transport
Cisco innovations in optical transport requirements with 800G ZR+ coherent pluggables and new multi-rail open line systems meet AI capacity demands
9:30
