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Nvidia Predicts $24 Billion Revenue Next Quarter: Can It Keep up With Demand?

Last Updated February 22, 2024 5:54 PM
Samantha Dunn
Last Updated February 22, 2024 5:54 PM
Key Takeaways
  • Nvidia’s quarterly revenue hit $22.1 billion, surpassing analyst expectations by a substantial margin.
  • The company’s forecast for the current quarter suggests a revenue of $24 billion, again exceeding Wall Street forecasts.
  • Nvidia’s consistent outperformance has become a barometer for the AI sector’s demand and potential growth.
  • Unprecedented demand for Nvidia’s H100 GPU chips means the company faces supply constraints.

Nvidia has surpassed Wall Street’s expectations with its latest quarterly earnings report.

The technology giant, renowned for its leadership in the artificial intelligence (AI) sector, announced a revenue of $22.1 billion for the quarter, significantly exceeding the anticipated $20.4 billion.

Ndivia Earnings Report

GPU leader Nvidia reported  revenue for the fourth quarter ended January 28, 2024, of $22.1 billion, up 22% from the previous quarter.

Under the leadership of CEO Jensen Huang, Nvidia has not only maintained its streak of exceeding analyst expectations but has also showcased a 265% increase in sales compared to the same quarter last year.

Ndivia’s growth is attributed to the burgeoning demand for AI technologies, where Nvidia’s advanced computing platforms play a crucial role. The company’s $12.3 billion of Q4 net income, marking a staggering 769% year-over-year profit growth, reflects Nvidia’s efficient capitalization on this demand.

Outperforming Market Expectations

The company’s performance has a ripple effect across the tech industry, influencing investor sentiment and the valuation of AI-centric enterprises. Nvidia’s ability to consistently outperform market expectations underscores the robust growth and adoption of AI technologies across various industries, from gaming and entertainment to autonomous vehicles and data centers.


The boom in Ndivia shares reflects the interest and demand for Artificial Intelligence accelerators. The company’s GPUs, initially designed for rendering complex graphics, are now pivotal in training AI algorithms, handling massive computational workloads with unprecedented efficiency.

In a post-earnings conference call, Huang told  analysts that it cannot expect to “reasonably” keep up with demand for its chips.

“Generative AI has kicked off a whole new investment cycle,” Huang said. That will lead to a doubling of the world’s data center installed base over the next five years and “represent an annual market opportunity in the hundreds of billions”.

Can Ndivia Keep Up with Demand?

Nvidia projects a $24 billion revenue for the current quarter, the company not only sets new benchmarks for its performance but also raises the bar for the entire AI industry.

This is the firm’s third-consecutive quarter reporting record profits and sales, and it expects $24 billion in revenue in the current quarter, beating analyst estimates of $22.2 billion according to LSEG data.

Nonetheless, Nvidia’s supply constraints for the H100 GPU chips raise questions about the semiconductor industry’s capacity to keep pace with the explosive growth in demand for AI technologies. The supply-demand mismatch was highlighted by Elon Musk’s who publicly lamented his company’s inability to procure them quickly enough.

“We’re using a lot of Nvidia hardware. We’ll actually take it as fast as they’ll deliver it to us. Frankly, if they could deliver us enough GPUs, we might not need Dojo. But they can’t. They’ve got so many customers.”

Nvidia’s historical impact on computing and AI underscores its central role in the sector’s growth, influencing broader tech market dynamics. Whether or not the tech company will be able to keep up with demand remains to be seen.

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