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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

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The brief

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**.

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Quick answers

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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