S10|E18 Cisco AI/ML Blueprint for DC Networks

Generative AI capabilities will enable a significant acceleration of enterprises business/ digital transformation. Enterprises will want to build out AI/ML capabilities for training and/or inference and look for a DC network infrastructure that supports these workloads. Cisco AI/ ML network blueprint will give our customers a proven/ validated solution leveraging Cisco experience with customer deployments for high performance compute, IB to Ethernet network migrations, and large-scale ML fabrics.

AI applications expect –high performance, low latency and lossless networks. To achieve this, network administrators need to deploy the right hardware and software features, along with a configuration that supports AI application needs.Vvisibility into congestion hot spots is the need of the hour-long with automation frameworks to make sure the entire network fabric is configured correctly for AI/ML workloads.

The Cisco Nexus 9000 switches have the hardware and software capabilities available today to provide the right latency, congestion management mechanisms, and telemetry to meet the requirements of AI/ML applications. Coupled with tools such as Cisco Nexus Dashboard Insights for visibility and Nexus Dashboard Fabric Controller for automation, Cisco Nexus 9000 switches are ideal platforms to build a high-performance AI/ML network fabric.

Resources
https://www.cisco.com/c/en/us/td/docs/dcn/whitepapers/cisco-data-center-networking-blueprint-for-ai-ml-applications.html

Cisco Champion Hosts
Liam Keegan (twitter.com/liamjkeegan), 24/7 Networks, Solutions Architect
Kenny Paula (twitter.com/KennyJPaula666), Reading Community College, Information Security Professional
Paul Giblin (twitter.com/dreamlessod), Presidio, Distinguished Engineer

Guest
Nemanja Kamenica, Technical Marketing Engineer, Cisco DC Networking Switching

Moderator
Danielle Carter, Cisco, Customer Voices and Cisco Champion Program