Nvidia's revenue forecast raises AI spending concerns | Job

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Nvidia Corp., the world's most valuable publicly traded company, made a profit forecast for the Nuruma Road during the current period on Wednesday, spurring concerns that large-scale preparations for artificial intelligence spending are slowing.

The company said in a statement Wednesday that its revenues will be around $54 billion in the third quarter, which will be held through October. It was in line with the average Wall Street estimate, but some analysts had forecast over $60 billion. The forecast ruled out data center revenues from China, a market that struggles with US export restrictions and opposition pressures from Beijing.

The outlook is concerned that the pace of investment in artificial intelligence systems is unsustainable. China's difficulties are clouding Nvidia's business as well. The Trump administration recently eased curbs on exporting some AI chips to the country, but the reprieve has not yet been translated into revenue rebounds.

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Nvidia's shares fell approximately 2% in extended transactions after the announcement. They raised 35% this year by the end of the year, lifting the company's market capitalization by more than $4 trillion.

The company has also approved an additional $60 billion in share buyback. Nvidia had the remaining $14.7 billion under previous repurchase plans at the end of the second quarter.

Revenue for that period ended July 27th rose 56% to $46.7 billion. This is compared to an estimated average of $46.2 billion. This profit added more than $16 billion in quarterly revenues the previous year, the lowest percentage increase in over two years. The profit was $1.05 per share, minus certain items. Wall Street was looking for $1.01.

Data Center Unit is a division that is itself a larger division than any other chip maker, with revenues of $41.1 billion. This is compared to the average estimate of $41.3 billion. Game-related revenue – once Nvidia's main source of revenue – was $42.9 billion. Analysts projected an average of $3.8 billion. The automotive segment generated $586 million in sales, but the estimates were a bit shy.

Nvidia still deals with fallout from growing US-China rivalries, where semiconductor technology is a major flashpoint. In April, the Trump administration tightened restrictions on data center processor exports to Chinese customers, effectively shutting down Nvidia from the market. Washington then repeated that, saying the US would allow some shipments in return for 15% of its revenue slices.

At the same time, Beijing is encouraging people to move away from using US technology in AI systems accessed by the Chinese government. Changing policies have made Wall Street difficult to predict the amount of revenue Nvidia can recover in the market. While some analysts have made forecasts for billions of dollars, others have refused to predict sales in China until the company is more clear about the situation.

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Nvidia said it had not recorded sales of H20 AI chips in the second quarter to China-based customers.

NVIDIA analysts headed towards their revenue report, holding a gap of about $15 billion between their highest and lowest estimates of third-quarter revenue. This is one of the largest ranges in the company's history.

Under co-founder and CEO Jensen Fan, the 32-year-old chipmaker suddenly became the biggest success story in the tech industry. Throughout most of its history, Nvidia has lived in the shadow of bigger rivals such as Intel Corp., opening up a modest life selling graphics processors to computer gamers.

Nvidia's big breakthrough occurred when the graphics processing unit (GPU) was adapted to run artificial intelligence software.

Recently in 2022, Nvidia was just a small portion of Intel's size, earning less than it earned in a year. Recently, Nvidia estimates Eclipse to be $300 billion by 2028 with an annual revenue course of $200 billion.

However, Nvidia relies heavily on spending plans from just a few companies. Microsoft Corp., Amazon.com Inc. and other huge data center operators account for about half of their sales. To diversify our business, Huang has entered new markets and offers a wide range of products. This includes providing full computers, networking gear, software and services.

He is determined to accelerate AI adoption across the economy, urging his team to produce new hardware and software at a passionate pace.

For now, the Santa Clara-based company in California has barely challenged the AI ​​chip market, known as an accelerator. Internal efforts due to early stage challenges from companies such as Amazon and rivals such as Advanced Micro Devices Inc. have yet to be significantly depressed in market share.

But it faces other headaches. Aside from Nvidia's struggle in China, the biggest obstacle to growth was the availability of supply. Like most chipmakers, Nvidia does not own a factory and relies primarily on outsourced production from Taiwan Semiconductor Manufacturing Co.



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