Nvidia GPU availability is close to zero, AI computing demand off the charts

• Nvidia ( NVDA ) posted revenue of $68.13B in the fourth quarter of FY2026, up 73.2% year-over-year, data center revenue reached $62.31B and data center networking increased 263% to $10.98B driven by NVLink adoption, while application guidance for Q1B7020202 Earnings for Q1B0202000 $

• Real-time GPU availability tracking shows near-zero inventory in hyperscalers and enterprises, confirming Nvidia CEO Jensen Huang’s statement that Blackwell sales and cloud GPUs have sold out, indicating that demand for AI computing is accelerating rapidly despite macro volatility.

• An analyst named NVIDIA just named his top 10 AI stocks in 2010. Get it for free here.

Right now there’s signal dilution through the macro noise, and it’s coming from a proprietary data product that most investors have never heard of. 3 Fourteen research tracks the availability of real-time GPUs, and what it shows is interesting.

“We’re tracking GPU availability at 314 Research as something that we own. We’ve had people in the industry reach out to us because it’s very good real-time data, and it’s showing almost zero ability to get GPU right now. So compute demand is off the charts, and I expect that to be reflected next week.”

This is a 3Fourteen research analyst speaking live on TV ahead of the upcoming Nvidia GTC conference. Almost zero GPU availability is not a talking point. It’s a real-time market signal that shows supply can’t keep up with what hyperscalers, enterprises, and AI startups are trying to buy.

Read: The analyst who called NVIDIA in 2010 Just naming his top 10 AI stocks

Nvidia (NASDAQ: NVDA) just posted a quarter that exactly confirms this demand signal. 4 FY2026 revenue reached $68.13 billion, up 73.2% year-over-year. Data center revenue reached just $62.31 billion, up 75% year over year, representing 91.5% of total quarterly revenue.

Jensen Huang put it straight on the earnings call: “Blackwell sales are off the charts, and cloud GPUs have sold out. Demand for computing continues to accelerate and combine across training and estimation—each growing exponentially.” 3Fourteen’s data independently confirms what Nvidia’s own CEO says from the supply side.

The network numbers tell an even sharper story. Data center networking revenue rose 263% year-over-year to $10.98 billion in Q4, driven by the acquisition of NVLink fabric across the GB200 and GB300 systems. When customers can’t get enough GPUs, they also create fabrics to connect to the ones they already have.

3Fourteen’s analyst frames the AI ​​capex supercycle as “a true north star in the market” even as macro headwinds create confusion. The VIX confirms that the background is truly uncertain. As of March 12, the VIX sat at 27.29, up 53.4% ​​from the previous month, placing it at 93.8 percent over the previous year.

Stocks reflect this pressure. Nvidia is down about 3.35% year-to-date even as the business’s core compounds at a price most companies never see. Forward guidance for Q1 of fiscal 2027 calls for roughly $78 billion in revenue, and that number apparently does not include China data center accounting revenue due to export restrictions.

Analyst consensus is sitting at $267.54 with 58 buy ratings versus just one sell. The forward multiple is roughly 23x earnings, which looks different when you consider that full-year FY2026 free cash flow came in at $96.58 billion.

3Fourteen’s GPU availability tracker says the same thing that earnings calls, hyper-scalar CapEx budgets, and NVLink revenue increases all say: demand for AI computing is not slowing down. Macro volatility can hide this signal for a quarter. It can’t replace the infrastructure build that’s happening at every major cloud provider, every enterprise AI deployment, and every independent AI initiative globally. GTC is another moment where this story is told again in public.

Wall Street is pouring billions into AI, but many investors are buying the wrong stocks. The analyst who first identified NVIDIA as a buyback in 2010 — before its 28,000% run — has identified just 10 new AI companies that he believes can deliver returns beyond that point. One dominates the $100 billion equipment market. Bill addresses the single biggest obstacle to maintaining AI data centers. The third segment is a net play in the optical network market that is quadrupling. Most investors haven’t heard of half of these names. Get a free list of all 10 stocks here.