You're Invited:
AI Data Center Summit

September 14, 2026  |  11 AM - 3 PM  |  Keysight, Santa Clara  

Beyond GPUs: Chiplets to Clusters

Overview

Join us for an exclusive half-day summit on the future of AI infrastructure. We’ll discuss the many paths to optimization, and the levers you can pull to eliminate weak links and get the most out of your AI investment.

Between keynotes, executive panels, and curated networking, you'll hear from some of the leading voices in AI, including perspectives from Cisco, Coreweave, Ericsson, Lumentum, and Marvell. Expect meaningful discussions, and actionable perspectives about optimizing performance across pre-silicon, wafer, chip, board, server, rack, data center, and edge AI deployments.

Get solutions across the AI stack. The future of AI infrastructure starts here.

Meet the Speakers

Speakers

Rakesh Chopra
Rakesh Chopra

SVP & Fellow

Cisco

Mallik Tatipamula
Mallik Tatipamula

CTO

Ericsson

Brad Matthews
Brad Matthews

Sr. Distinguished Engineer

Marvell Technology

Vivek Raghuraman
Vivek Raghuraman

Co-Founder & CEO

Mixx Technologies

Ram Periakaruppan - Keysight
Ram Periakaruppan

VP & GM, Network & Security Applications

Keysight

Brig Asay - Keysight
Brig Asay

General Manager

Keysight

Venkat Pullela - Keysight
Venkat Pullela

CTO, AI Infrastructure

Keysight

Agenda

Agenda

Executive Insights: Exploring the Latest Trends in AI Infrastructure

AI infrastructure is entering a new era of scale, complexity, and opportunity — from advanced silicon and high-speed interconnects to AI-optimized networks, power systems, and data center architectures. In this keynote, Ram and Brig will explore the latest executive-level trends shaping AI data centers and highlight how leaders can prepare their infrastructure strategies for the next wave of performance, efficiency, and innovation.

The Smallest Signals, the Biggest Impact: Rethinking Reliability at Scale

As AI infrastructure scales, small signal integrity issues can create outsized impacts across chips, boards, interconnects, and full data center systems. In this talk, we'll explore why reliability at scale depends on understanding the smallest electrical and optical behaviors — and how engineering teams can rethink validation to reduce risk, improve performance, and build more resilient AI infrastructure.

Where Bandwidth Meets Reality: Optimizing Power, Performance, and Price

As AI data centers push toward higher bandwidth and greater scale, infrastructure leaders must balance performance gains against real-world constraints in power, cost, thermals, and deployment complexity. In this talk, we'll explore how engineering teams can optimize the tradeoffs between power, performance, and price — turning bandwidth ambition into reliable, efficient AI infrastructure.

Inference, Digital Twins, and the Fastest Path to AI Tokens

As AI moves from model training to real-world inference, the race is shifting toward faster, more efficient token delivery across increasingly complex data center environments. In this talk, we'll explore how workload emulation, digital twins, and infrastructure-aware validation can help teams accelerate deployment, reduce risk, and find the fastest path from AI infrastructure investment to production-ready tokens.

Chiplets to Clusters: Cutting-Edge Strategies for Scaling AI Infrastructure

As AI infrastructure scales from advanced chiplets to full data center clusters, leaders must rethink how compute, interconnects, networking, and validation come together as one system. In this panel, industry leaders will explore cutting-edge strategies for scaling AI infrastructure — highlighting how organizations can improve performance, reduce deployment risk, and prepare for the next generation of AI workloads.

Where Does AI Go From Here? Bold Predictions for the Future

AI infrastructure is moving quickly from today’s scaling challenges toward a future defined by new architectures, new economics, and new forms of intelligence at the edge, in the data center, and beyond. In our closing keynote, we'll explore bold predictions for where AI goes next — and what leaders should consider now as they prepare for the next wave of innovation.

Venue

Venue

Experience Keysight's Santa Clara headquarters. In the heart of Silicon Valley, our central location offers a modest commute for anyone in the Bay Area.

Address:
5301 Stevens Creek Blvd
Building 5
Santa Clara, CA 95051

Keysight AI Data Center Summit

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