Nvidia Kyber Delay Hangs Over Chip Rally
Nvidia Kyber delay reported after a PCB manufacturing snag, as the stock lags peers amid an AI infrastructure rotation that benefits AMD and Intel.
KEY TAKEAWAYS
- Third-party research reported Kyber NVL144 delayed to 2028 due to a complex multi-layer PCB manufacturing snag.
- Nvidia stock had lagged peers as investors rotated toward broader AI infrastructure exposures like CPUs and networking.
- No SEC filing or Nvidia IR statement confirmed the timetable; the claim rests on third-party research.
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A third-party research note reported a delay in Nvidia’s (NVDA) Kyber NVL144 rack-scale AI system after manufacturing issues with a complex multi-layer printed-circuit board. The delay has intensified investor concerns about Nvidia’s ability to maintain leadership in next-generation AI infrastructure as its stock lags peers amid a rotation toward broader AI infrastructure plays.
Kyber Delay and Manufacturing Snag
The Kyber NVL144 rack, designed to house Nvidia’s Rubin Ultra AI chips, was originally expected to launch in 2027 but is now reported to be delayed by more than 12 months to 2028. The delay stems from production difficulties with a critical, highly complex multi-layer printed-circuit board that connects electronic modules within each rack. Kyber is described as a next-generation rack-scale architecture aimed at supporting very high power density and advanced cooling and packaging technologies, surpassing Nvidia’s current H100 and Blackwell data-center GPU platforms.
No Nvidia SEC filings or investor-relations releases in the past 72 hours have confirmed or denied the reported delay. The timing claim is based solely on third-party research from SemiAnalysis and its dissemination through secondary sources.
Market and Competitive Impact
Nvidia’s stock performance has been more muted compared with peers such as AMD and Intel, which posted stronger gains as investors broadened exposure to AI infrastructure in early 2026. The investment narrative has expanded beyond GPU accelerators to include CPUs, custom accelerators, networking, and memory, highlighting new avenues for AMD, Intel, and other vendors to capture AI spending.
Analysts suggest that a slip in Kyber’s timeline could alter the mix and pace of next-generation data-center deployments, potentially giving AMD, Intel, or custom ASIC vendors additional time to scale competing platforms. Despite this, Nvidia’s operational and financial fundamentals remain strong, and the company retains substantial exposure to the AI infrastructure build-out. Management commentary cited in recent analysis expects another major growth wave in that same timeframe.
