DesignCon 2026: Keysight to Showcase Advanced AI Data Center and High-Speed Interconnect Validation

Why It Matters

The tools cut design risk and time‑to‑market for AI‑focused data‑center hardware, meeting the industry’s demand for reliable, high‑bandwidth interconnects. Comprehensive validation enables manufacturers to hit performance and compliance targets for next‑gen AI workloads.

Key Takeaways

• Keysight showcases AI data‑center validation tools.
• Demonstrates 1.6 Tbps interconnect benchmarking.
• Introduces PCIe 7.0 and DDR5/GDDR7 test solutions.
• Offers 3D chiplet design workflow for high‑performance devices.

Pulse Analysis

The explosion of generative AI workloads is driving data‑center operators to seek ever‑higher bandwidth and lower latency across every layer of the stack. Traditional validation methods struggle to keep pace with the move toward multi‑die chiplets, 400‑GbE Ethernet, and emerging PCIe 7.0 standards. By providing a unified platform that spans physical‑layer testing, protocol verification, and AI‑specific performance metrics, Keysight addresses a critical bottleneck in the design cycle, helping engineers de‑risk complex systems before silicon tape‑out.

At DesignCon 2026, Keysight’s demonstrations illustrate how its hardware and software suite tackles these challenges. The 3D Interconnect Designer accelerates chiplet integration, while the PLTS2026 with a 250 GHz frequency extender pushes signal‑integrity testing to 3.2 Tbps, a regime essential for next‑gen AI fabrics. Memory validation tools cover both DDR5 and GDDR7, ensuring that high‑speed memory subsystems meet jitter and SNDR requirements. Meanwhile, the UXR‑Series oscilloscope and M8050A BERT platform streamline PCIe 7.0 PAM4 debugging, delivering faster margin analysis and higher link reliability.

Beyond the hardware, Keysight’s presence at DesignCon underscores its strategic positioning as a catalyst for AI infrastructure adoption. The 1.6 Tbps interconnect benchmark not only validates raw throughput but also assesses error‑correction performance, a key factor for large‑scale AI training clusters. By coupling these capabilities with automated test workflows and extensive educational content, Keysight helps vendors accelerate time‑to‑market while maintaining compliance with emerging standards. As AI models grow in size and complexity, such end‑to‑end validation will become a decisive competitive advantage for semiconductor and system manufacturers alike.