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Introduction
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Topology
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frontend network
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scaleup network
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tradeoffs
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power delivery
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balancing power delivery
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HPC and AI
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Power and cost
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Custom protocols
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AI Fabrics
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Alra Ethernet
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Google Falcon
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Congestion Control
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Ethernet for Scale Out
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about AI networking fabric design and infrastructure in this 52-minute conference talk from Networking Field Day 33. Explore the challenges of interconnecting AI elements as generative AI and machine learning workloads continue to grow exponentially. Dive into current proprietary technologies' limitations and discover Intel's vision for an open, standards-based approach to networking infrastructure. Examine recent developments in network protocol stacks for reliable transport, including Intel's contributions and the Ultra Ethernet consortium's initiatives. Follow along as Principal Engineer Naru Sundar breaks down key concepts including topology, frontend networks, scale-up networks, power delivery considerations, custom protocols, AI fabrics, and congestion control. Understand how these elements come together in creating efficient, scalable Ethernet solutions for modern AI infrastructure needs.

Networking Fabrics for AI: Design Challenges and Open Standards Approaches

Tech Field Day
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