Nvidia's next-gen AI rack system delayed to 2028 on manufacturing snags, SemiAnalysis says
Nvidia’s AI hardware roadmap hit by delays and design shifts, reshaping the chip rivalry landscape
📍 The outcome
Nvidia’s Kyber NVL144 AI rack system was pushed back to 2028 due to unresolved PCB midplane manufacturing challenges, with a planned stopgap solution also canceled amid customer pushback. The delay prompted a shift in market focus toward rival AI infrastructure providers and triggered declines in supplier stocks tied to optical communication PCBs.
Coverage of the development faded without further updates on Nvidia’s revised production timeline or design adjustments.
Epilogue added 44d ago, after coverage quieted.
Who reported it (12)
- Nvidia's Kyber rack for Rubin Ultra reportedly delayed to 2028, stopgap solution also axed due to customer pushback — Analyst firm SemiAnalysis says PCB midplane problems led to the delay Tom's Hardware · 47d ago
- Nvidia Report Roils Asian Stock Markets 富途牛牛 · 47d ago
- Tech Futures Rose Even As Nvidia’s AI Rack Faced A Delay Finimize · 47d ago
- Nvidia Kyber NVL144 rack delayed to 2028, sinking supplier stocks Yahoo Finance · 47d ago
- U.S. Market Preview | Bottlenecks in PCB manufacturing? NVIDIA delays next-gen AI rack system; Is the chip rally cooling off? Morgan Stanley: Capital is shifting toward AI supercomputing giants; SK Hynix sees up to $7 billion in investor interest for its 富途牛牛 · 47d ago
- NVDA Stock Swings In Premarket: Report Says Nvidia's Next-Gen AI Rack Delayed By A Year Yahoo Finance · 47d ago
- SemiAnalysis again broke news ahead of market open: NVIDIA's Kyber NVL144 rack is delayed by over 12 months due to 'difficulties in manufacturing the PCB midplane.' Moomoo · 47d ago
- NVIDIA's new product delayed by one year and performance halved; Hong Kong-listed optical communication PCB stocks plunge collectively 富途牛牛 · 47d ago
- Nvidia Stock Delay Opens A Window For Marvell And Other AI Chip Rivals simplywall.st · 47d ago
- Nvidia reportedly cancels quad-die Rubin Ultra GPU in favor of dual-GPU design, report claims — complex design purportedly scrapped over 'manufacturing execution concerns' Tom's Hardware · 47d ago
- Nvidia AI Server Delay Report Sends Asian Tech Stocks Sliding Bloomberg.com · 47d ago
- Nvidia's next-gen AI rack system delayed to 2028 on manufacturing snags, SemiAnalysis says CNBC · 47d ago
What happened
Nvidia’s next-gen AI rack system—originally slated for 2027—has been pushed back to **2028**, according to SemiAnalysis, citing **manufacturing execution concerns**. Coverage also reports the **quad-die Rubin Ultra GPU** has been scrapped in favor of a **dual-GPU design**, with performance reportedly halved.
The delays follow broader **supply chain and production challenges** in optical communication PCBs, impacting related stocks. Outlets including **CNBC, Bloomberg, and Tom’s Hardware** emphasize the **strategic shift** as a potential opening for rivals like **Marvell**, while **Hong Kong-listed optical communication PCB stocks** have seen collective declines.
Watch for **stock reactions** in AI infrastructure and semiconductor sectors, as well as **rival responses** from AMD, Intel, and Marvell. Nvidia’s next earnings call may clarify whether the delays stem from **technical hurdles, supply constraints, or strategic recalibration**.
Synthesized by headlinez.news from the headlines below under a strict no-invention contract. ✓ fact-checked: unsupported claims removed (86% supported) Updated 46d ago.
Questions people are asking
What is the Rubin Ultra GPU?
A canceled **quad-die GPU design** reportedly scrapped due to manufacturing complexity, replaced by a **dual-GPU architecture** with reduced performance.
Which companies are most affected by the delays?
Nvidia’s partners in **AI infrastructure**, **optical communication PCB suppliers** (especially Hong Kong-listed stocks), and **rival chipmakers** like Marvell, AMD, and Intel.
Why is the AI rack system delay significant?
It extends Nvidia’s **monopoly on next-gen AI hardware** and may **delay enterprise AI deployments** reliant on the system’s capabilities.
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