Keysight Technologies announced the launch of its AI Inference Builder, a platform that emulates real‑world inference workloads to validate and optimize AI infrastructure at scale. The product will be demonstrated live at NVIDIA’s GTC conference, where it will run within NVIDIA DSX Air digital‑twin environments to provide customers with a realistic performance preview before hardware deployment.
The new platform is part of Keysight’s expanding AI infrastructure suite, which also includes solutions for 224G electrical and optical interconnects and an AI Software Integrity Builder. By enabling customers to identify performance bottlenecks early, the Builder addresses a critical need in the AI supply chain—ensuring that inference workloads meet latency, throughput, and reliability targets in production data‑center environments.
"Inference is the key to unlocking AI's ROI, but that can be challenging to achieve when system resources aren't optimized for capacity and performance," said Ram Periakaruppan, Vice President and General Manager of Network Test & Security Solutions. "KAI Inference Builder provides visibility into real‑world inference performance across the full stack, enabling customers to validate and optimize deployments before hardware reaches the rack." Amit Katz, VP of Networking at NVIDIA, added, "The integration with NVIDIA DSX Air provides the essential environment needed to eliminate performance volatility, and enables NVIDIA AI Factory partners and customers to emulate real inference workloads and preemptively resolve bottlenecks."
Keysight reported Q1 2026 results on February 23, 2026, with revenue up 23% year‑over‑year to $1.6 billion and earnings per share of $2.17, beating analyst estimates of $2.00. The company guided for continued growth in Q2 and the full fiscal year, citing strong demand in AI, next‑generation connectivity, and defense modernization. Double‑digit growth was seen across all business segments, and recent acquisitions of Spirent Communications and the Optical Solutions Group have expanded Keysight’s test and design capabilities.
The market reaction to the earnings and product launch was positive, driven by the EPS beat, revenue beat, and optimistic guidance. Investors highlighted the company’s ability to maintain profitability while investing in high‑growth AI platforms, and analysts noted the strategic partnership with NVIDIA as a key advantage in the competitive AI infrastructure space.
Overall, the AI Inference Builder positions Keysight as a critical enabler for AI‑driven data‑center growth, reinforcing its strategy to capture a large share of the projected $200 billion AI interconnect market by 2030 and supporting the company’s continued expansion into high‑performance, high‑density AI systems.
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