Building Networks for AI/ML Systems

As the engine behind AI, data center networks play a critical role in interconnecting and maximizing Graphics Processing Unit (GPU) capabilities. Reducing job completion time (JCT)—the time it takes to complete each round of AI training—is key to faster training of AI models and, ultimately, cost savings. However, traditional data center technologies and designs fall short of the demanding performance and capacity requirements AI workloads place on network infrastructure.


As organizations try to avoid lock-in and supply chain bottlenecks associated with InfiniBand, enterprises are increasingly turning to Ethernet as the preferred, and open, networking alternative for AI data centers.


This webcast will address the AI use case for networking, and how organizations can leverage Ethernet to deliver the network performance and capacity that AI/ML systems require.

Speaker and Presenter Information

Roselyn Richardson
Architecture Lead, Cyber AI and Cloud Lead for the Digital Capabilities Directorate

Air Force Research Laboratory (AFRL)


Greg Bensimon
Data Center Architect, Federal Government

Juniper Networks


George Jackson
Vice President of Events


Relevant Government Agencies

Other Federal Agencies, Federal Government, State & Local Government

Event Type

This event has no exhibitor/sponsor opportunities

Tue, Jun 18, 2024, 2:00pm ET

Complimentary:    $ 0.00

Click here to visit event website

Govexec 360
Juniper Networks

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