Nvidia CEO Asserts AI Technology Maturity Amid Investor Skepticism

Nvidia's Diversification Efforts Yield Strong Results, But Competition Looms

Nvidia Corp., the semiconductor giant, has used its latest quarterly report to showcase its progress in diversifying its business model, which aims to reduce its reliance on data center operators. Despite continued spending from hyperscalers, a group known as large data center clients, Nvidia predicts that a broader range of businesses and governments will soon become a significant source of revenue.

According to the company's latest quarterly report, sales in the three months ending in July are expected to be approximately $91 billion, surpassing the average estimate of $87 billion. However, investors remain skeptical, with the shares slipping about 1% in late trading Wednesday. Nvidia's Chief Executive Officer, Jensen Huang, has emphasized the company's efforts to expand its reach beyond data centers, citing the growing demand for artificial intelligence (AI) in various industries.

Nvidia's sales in the three months ended April 26 gained 85% to $81.6 billion, beating analysts' estimates of $79.2 billion. Profit, minus certain items, climbed to $1.87 a share, exceeding a projection of $1.77. The company's adjusted gross margin was 75%.

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Nvidia's data center unit generated revenue of $75.2 billion, compared to an estimate of $73.5 billion. The company's networking division delivered $14.8 billion in sales, surpassing an estimate of $12.7 billion.

As part of its report, Nvidia announced a transition to a new framework that will better reflect its current and future growth drivers. The company's data center sales figures will now separate hyperscalers from a group it calls ACIE (AI clouds, industrial, and enterprise customers).

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Nvidia's revenue is expected to reach over $370 billion this year, making it roughly 22 times the size it was in fiscal 2021. The company remains the top seller of AI accelerators, but faces growing competition from chipmakers like Advanced Micro Devices Inc. and Broadcom Inc.

Despite the challenges, Nvidia continues to expand its reach into new areas, offering general-purpose processors and chips tailored to the inference stage of AI. The company expects to generate $20 billion in CPU revenue this year, making it the world's largest supplier.