Cisco Artificial Intelligence and Machine Learning Data Center Networking Blueprint

Artificial Intelligence and Machine Learning is part of many industries and day to day life, and it will expand in the future. This session shows how Ethernet Networks use RoCEv2 transport benefits AI/ML clusters. You'll also see a demonstration of congestion management capabilities of Nexus switches, that will improve AI workload transports.

[@siddharthmanumusic]

It's not easy to start with the basics and get into the depths of network. Great work Nemanja for breaking it down and making it easy to visualize.

[@KenPaula]

Great material. I have read design document and it’s great to see this presentation.

[@pritishbarbara7962]

Great Content Thanks, Future is Intent Based Networking

[@aoblek]

🎉 Great material.

[@TheTarzanxxx]

Nicely explained thank you

[@mikeprest7959]

Great presentation, we'll articulated and good to see the adaptation to help with AI workflows. Do you think in the near future we'll see AI powered QoS with predictive workflow management rather than telling the network to buffer and eventually slow down?

[@ForyantoJayaWigunaChannel]

Great presentation, Artificial Intelligence is a must!

[@kkmm4179]

how do you handle L2 flooding when using PFC

[@CiscoSystems]

To handle L2 flooding while using PFC, identify and fix the source of the excess traffic first. Then, turn on network protections to prevent loops and limit unnecessary traffic. Use PFC to selectively pause certain traffic during congestion. We hope this info helps.

[@hussienalsafi1149]

😍😍😍😍😍😍😍😍😍😍

[@emanuelRed56]

Hallo

[@thehuonpine]

Topology is good but the complex implementation of it slow down the traffic!!