The adoption of artificial intelligence (AI) has been all the rage in recent years, and the foundation for future AI proliferation has been laid. There's been a massive data center construction boom to keep up with the unprecedented demand -- yet some of the world's biggest cloud operators say they are still capacity-constrained. Put another way, the demand for AI by cloud infrastructure customers still outstrips supply.
One of the biggest bottlenecks is a shortage of AI-capable chips, namely the graphics processing units (GPUs) that underpin much of AI training and inference.
Chipmaker Nvidia (NVDA 0.05%) is doing its part to alleviate that shortage. At CES this week, CEO Jensen Huang announced that its "revolutionary" Rubin Architecture is already at full production -- well ahead of the original target for the second half of 2026.
Let's review the details to see what this means for investors.
Image source: Getty Images.
Enter Rubin
This week marked the official debut of Nvidia's Rubin Architecture, which includes a group of six chips that operate in concert. The chipmaker says these innovations "deliver up to 10x reduction in inference token cost and 4x reduction in the number of GPUs to train MoE [mixture of experts] models," compared with the current Blackwell platform.
The system is built around the Vera Rubin superchip, which consists of a Vera CPU and Rubin GPU. "Vera Rubin is designed to address this fundamental challenge that we have: The amount of computation necessary for AI is skyrocketing," Huang said in his CES keynote. "Today, I can tell you that Vera Rubin is in full production."
Having these next-generation AI chips available sooner than expected will be a boon to cloud and data center operators, and will likely produce a windfall for Nvidia.
NASDAQ: NVDA
Key Data Points
Indeed, the data center buildout by the major cloud operators has been continuing at breakneck speed, with no end in sight. For example, for its fiscal 2026 first quarter (ended Sept. 30, 2025), Microsoft reported that its Azure cloud growth accelerated to 40% year over year, and it was still unable to keep up with demand.
On the earnings call, Microsoft CFO Amy Hood pointed out that despite escalating capital expenditures, "We now expect to be capacity constrained through at least the end of our fiscal year, with demand exceeding current infrastructure buildout, resulting in lost revenue opportunities for Azure in fiscal Q1 2026."
This should be music to the ears of Nvidia investors, as it confirms that the market for the company's AI-centric chips remains strong. Furthermore, full production of the Rubin chips suggests earlier availability. That, combined with the robust demand, will ultimately result in increased sales and higher revenue for Nvidia.
Moreover, at just 25 times next year's expected sales, Nvidia stock remains a compelling opportunity.
