Tae Kim

Nvidia's highly anticipated earnings are nearly here. The report is expected to be released at approximately 4:20 p.m. Eastern time today, according to the company. Nvidia will also host a conference call at 5 p.

In 2019, when Nvidia acquired Mellanox for $6.9 billion, CEO Jensen Huang envisioned data centers would someday be filled with tens of thousands of GPUs connected with advanced networking to power AI workloads. Superclusters of Nvidia GPUs inside data centers have grown from 16,000 GPUs to over 100,000 GPUs in the past year. In early September, Elon Musk's xAI deployed more than 100,000 Nvidia Hopper graphics processing units.

When Nvidia became the world's most valuable company (again) earlier this month, it did so because of its crucial role in the growing artificial intelligence industry.

Nvidia’s next generation Blackwell GPU production will ramp over the next few quarters, but the company said it won't be able to meet all of the demand from its customers. “We completed a successful mask change for Blackwell, our next Data Center architecture, that improved production yield,” Nvidia's chief financial officer said Wednesday in a letter to investors. “Both Hopper and Blackwell systems have certain supply constraints, and the demand for Blackwell is expected to exceed supply for several quarters in fiscal 2026.”

Nvidia’s next generation GPU, Blackwell, is officially in high demand. “Blackwell demand is staggering, and we are racing to scale supply to meet the incredible demand,” chief financial officer Colette Kress said on the company's conference call with investors. The executive also said Blackwell has been shipped to all of Nvidia’s major partners.

Nvidia CEO Jensen Huang says that worries about the pace of AI model improvements are overblown. “Pre training scaling is intact,” he said on Wednesday's conference call with analysts and investors when asked about the current state of AI. Huang said AI model makers continue to see the benefits of scaling, meaning the capabilities of models continue to improve as companies add more computing power and data to their training input.

Fear and anxiety became Jensen Huang's favorite motivational tools, writes author Tae Kim in his upcoming book "The Nvidia Way."

Nvidia’s AI growth story is far from over. Triple-digit growth rates while making tens of billions of dollars shouldn’t be overlooked by investors.