Nvidia’s CEO, Jensen Huang, remains highly optimistic about the company’s future prospects, reiterating his previous stance that DeepSeek will not negatively impact sales, as stated during the latest earnings call on Wednesday.

The speculation surrounding DeepSeek’s R1 model, which allegedly requires significantly fewer chips for training, had led to a substantial decline in Nvidia’s stock price last month, with the company’s market cap dropping by $600 billion.

However, during the earnings call, Huang praised the R1 model as an “excellent innovation,” highlighting that it, along with other “reasoning” models, is beneficial for Nvidia as they require substantially more computing power.

“Reasoning models can consume up to 100 times more compute, and future models will require even more,” Huang explained. “DeepSeek R1 has generated immense global interest, and it’s an outstanding innovation. Moreover, it has made a world-class reasoning AI model open-source, which nearly every AI developer is now utilizing.”

Nvidia’s sales continue to demonstrate no signs of slowing down, with the company reporting a record-breaking quarter that saw revenue reach $39.3 billion, surpassing both its own projections and Wall Street estimates. Furthermore, the company expects revenue for the next quarter to increase to approximately $43 billion.

The company’s data center sales nearly doubled in 2024, reaching $115 billion, and experienced a 16% growth from the previous quarter, according to Nvidia’s earnings release.

During the call, Huang highlighted Nvidia’s latest Blackwell chip, which is specifically designed for reasoning, and noted that current demand for it is “extraordinary.”

“We will experience strong growth in 2025,” Huang stated.

Indeed, despite last month’s concerns about DeepSeek, the market for AI chips shows no signs of decreasing, with major companies investing heavily in AI infrastructure.

Since then, Meta, Google, and Amazon have all announced significant AI investments, collectively committing hundreds of billions of dollars for the coming years, demonstrating the ongoing demand for AI technology.