Even Nvidia Has Bottlenecks
Nvidia (NVDA) just gave investors a reminder that even the strongest company in AI is still at the mercy of manufacturing reality.
The company has pushed back the launch of its Kyber NVL144 rack scale AI system to 2028 after running into production difficulties tied to a highly complex midplane PCB. That matters because Kyber was designed to pack 144 Rubin Ultra chips into a single cabinet for massive AI workloads, the kind of system hyperscalers and data center operators have been racing toward.
The good news is that this does not look like a demand problem. Nvidia is still at the center of the AI infrastructure buildout, and management continues to point to confidence in the broader roadmap. Vera Rubin systems are still expected to carry much of the load, which helps explain why the stock has held up relatively well despite the headline.
The more important takeaway is what this says about scale. Nvidia has spent the past few years training the market to expect relentless execution, faster product cycles, and bigger leaps in performance. A delay tied to manufacturing complexity is a reminder that AI is no longer just a software story or even a chip story. It is now a supply chain story, a power story, a cooling story, and a systems integration story.
In other words, Nvidia may still be the clear leader, but leadership at this level comes with new friction. The Kyber delay does not break the long term thesis. It does, however, remind investors that even in the hottest corner of the market, physics, engineering, and manufacturing still get a vote.
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