Name: An Introduction to Networking For AI Training
Start: 2026-11-01T17:00:00-08:00
End: 2026-11-01T18:00:00-08:00

🚀 **Support Vectors Community \| An Introduction to Networking For AI Training**

As AI models scale across massive compute clusters, existing networking standards and transport mechanisms are limiting performance. This talk explores the core principles of large-scale AI training, outlining why current architectures fall short and how emerging industry standards are addressing these limits. Attendees will leave with a clear mental model of today’s scaling challenges and the key networking innovations shaping the next generation of infrastructure.

🎙️ **Guest Speaker:** Rip Sohan \| Broadcom
📅 **Date:** Sunday, November 1, 2026
🕖 **Time:** 5:00PM (Pacific Time)
📍 Location: SupportVectors, Fremont, CA or online via Zoom

Samantha Damaso

SupportVectors: Generative AI, LLMs, Agents

SupportVectors

Technology

Neural Networks

Artificial Intelligence

Machine Learning

Data Visualization

Data Science

Machine Intelligence

Deep Learning

Artificial Intelligence Applications

Artificial Intelligence Programming

AI/ML

Rip Sohan is an Engineer at Broadcom, where he leads end-to-end system architecture for high-performance enterprise and AI network interface controllers. His work centers on hardware software co-design across the entire networking stack, including micro-architectures, firmware, kernel networking, and user-spaces. He specializes in remote direct memory access, multipath transport, and the emerging Ultra Ethernet Consortium ecosystems.

Rip Sohan

An Introduction to Networking For AI Training

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SupportVectors: Generative AI, LLMs, Agents

An Introduction to Networking For AI Training

SupportVectors: Generative AI, LLMs, Agents

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