Jensen Huang is more optimistic than ever about NVIDIA’s future. He is not afraid of DeepSeek and calls it great, and another fiscal quarter was super successful.
The NVIDIA CEO is convinced that DeepSeek activities will not affect sales. He said this during the announcement of the latest financial report for the last quarter, which ended at the end of January. The assumption is that DeepSeek R1 model requires much less hardware for training, were called a record drop in NVIDIA shares last month. Huang welcomes the Chinese technology and predicts that the need for AI servers will still grow in the future
«Reasoning models can require 100 times more computation. …DeepSeek R1 has generated global enthusiasm. It’s a great innovation, but more importantly, it’s open-sourced a world-class AI model. Almost every AI developer is using R1», — said Jensen Huang.
NVIDIA’s sales show no signs of slowing down, and the company reported another record quarter. Its revenue reached $39.3 billion, exceeding the company’s own forecasts and Wall Street estimates. The CEO expects $43 billion in the quarter to come. NVIDIA’s data center sales nearly doubled in 2024 to $115 billion, up 16% quarter-on-quarter.
As noted by The Verge, even NVIDIA’s networking business is now larger than its gaming business. This was not the case in the last fiscal year, but since then the networking segment has grown very significantly, unlike sales of gaming video cards and other activities in the industry. The $11.35 billion received in a year is a lot of money, but NVIDIA’s AI processors and servers sell almost 10 times better.
«In 2025, we will grow significantly,» Huang said.
He called NVIDIA’s Blackwell chip a custom-built AI chip and boasted that the current demand for it is «extraordinary». Overall, despite last month’s panic over DeepSeek, the AI hardware market shows no signs of cooling off. Since then, Meta, Google, and Amazon increased investments in infrastructure, which will reach hundreds of billions per year.
Sources: TechCrunch, TechPowerUp
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