Future-Proofing AI Infrastructure: Benchmark Networks Before You Burn GPUs – Keysight Technologies Triple-T
AI workloads are only as fast as the networks that carry them. Yet enterprises often discover congestion, incast, and collective operation bottlenecks only after GPUs are deployed—when fixes are costly. Keysight’s KAI Data Center Builder provides a smarter path: it emulates AI workloads and benchmarks backend fabrics without consuming GPU cycles. This enables IT teams to compare architectures, validate performance, and de-risk investments before scaling. Attendees will leave with a repeatable validation framework they can apply immediately to ensure their AI infrastructure is ready to meet tomorrow’s demands—without wasting today’s GPU resources.
Sushil Srinivasan is a Director of Product and Business Development at Keysight
Technologies, where he focuses on AI data center and high-speed networking solutions.
He works closely with hyperscalers, enterprises, and partners to translate emerging AI
infrastructure challenges into practical validation and benchmarking strategies. With a
background spanning product management, cloud platforms, and go-to-market
execution, Sushil brings a strong blend of technical depth and business perspective. He
is passionate about helping customers and partners design, test, and scale next-
generation AI networks with confidence.
