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Dell, Siemon, and Keysight Discuss AI Fabrics for 1.6T
Discover practical strategies for designing, connecting, and validating scalable AI infrastructure, from today’s 800G deployments to tomorrow’s 1.6T networks.
3 Companies. Building AI Fabrics for 1.6T.
AI workloads are transforming how data center networks are designed and deployed. In this 20-minute panel discussion, experts from Dell Technologies, Siemon, and Keysight share practical lessons for building high-performance AI fabrics that operate reliably at scale.
Explore the architectural decisions, connectivity options, and validation strategies required to move from theoretical designs to production-ready AI infrastructure. The panel will discuss DAC, active copper, and fiber connectivity, realistic workload emulation, end-to-end system validation, and how organizations can prepare for the transition from 800G to 1.6T.
Meet the Panelists
James Wynia
Senior Product Manager
Dell Technologies
Ryan Harris
Director of Sales Engineering
Siemon
Avik Bhattacharya
Senior Product Manager
Keysight Technologies
Linas Dauksa
AI Technologist
Keysight Technologies
Build for 800G. Prepare for 1.6T.
AI fabrics must move massive east-west traffic, keep GPUs utilized, and maintain predictable performance under synchronized workloads. Bandwidth alone is not enough.
Hear experts from Dell Technologies, Siemon, and Keysight discuss:
- Designing and validating production-ready AI networks
- Choosing between DAC, active copper, and fiber
- Preparing 800G infrastructure for 1.6T
"Validate with statefulness. Validating with stateless traffic will not uncover the choke points found in a real network."
Avik Bhattacharya
Keysight
"System-level testing increases confidence much more than a simple layer-one cable test."
Ryan Harris
Siemon
"Individual component testing will not get you there; you need end-to-end testing to guarantee performance and ensure no bottlenecks exist."