Nvidia to report earnings as AI chip competition intensifies

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Nvidia to report earnings

Highlights

Nvidia will report fiscal first-quarter results on May 20.
The company remains the last of the Magnificent Seven to report this season.
Nvidia will open a new AI research hub in Singapore, its first in the city-state.

Earnings that could set the tone for tech

Nvidia is scheduled to release its fiscal first-quarter results on May 20, making it one of the final major technology companies to report this earnings season. The company remains the dominant supplier of AI accelerators used to train and run large models, and its results are often read as a broader signal for demand across the artificial intelligence infrastructure market.

The central question is whether demand for Nvidia chips remains strong enough to justify the company’s valuation and the scale of investment now flowing into AI data centers. Investors will also watch guidance closely, especially as hyperscalers and cloud providers begin to promote more of their own custom silicon.

Huang builds around the AI boom

The Financial Times reported that Jensen Huang has tied Nvidia to about $90 billion in deals and investments over the past 16 months, covering more than 145 companies across AI developers, cloud providers, and infrastructure suppliers.

That strategy helps Nvidia do more than sell chips. It also deepens ties with customers, supports future AI infrastructure, and strengthens the broader ecosystem around its technology. But it also raises expectations. The latest earnings report will test whether demand for Nvidia hardware remains strong enough to support that expanding network of investments, customers, and competitors.

Singapore hub expands Nvidia presence in Asia

Nvidia is also expanding its research footprint in Asia. The company plans to open a new research center in Singapore, its first such facility in the city-state and its second in the Asia-Pacific region.

The lab will focus on advancing AI and improving the efficiency of AI infrastructure. Nvidia plans to work with university researchers, industry partners, and government agencies. The move comes as Singapore positions itself as a regional AI hub for real-world development, testing, and deployment, despite its relatively small size.

For Nvidia, the project adds another layer to its regional strategy as demand grows for computing power, robotics systems, and applied AI infrastructure.

Rivals are pushing harder

Nvidia is facing more visible competition. Cerebras, which recently held an initial public offering, is promoting an alternative AI processor design that it says can deliver higher overall performance. AMD is preparing to launch a rack-scale server system later this year, while Amazon and Google continue to expand their internal AI chip programs.

Amazon said in its latest earnings report that annual revenue from its chip segment now exceeds $20 billion and is growing at a triple-digit pace year over year. The company also announced a deal with OpenAI through AWS to provide 2 gigawatts of power for Trainium chips, while Anthropic has agreed to use up to 5 gigawatts of current and future Trainium chips.

New reality for the AI market leader

Nvidia’s upcoming earnings report will serve as a key test of its ability to maintain dominance in an increasingly competitive artificial intelligence landscape. While the company remains the clear leader, the emergence of well-funded rivals with alternative architectures is reshaping industry dynamics.

The new research hub in Singapore underscores Nvidia’s global ambitions and its determination to strengthen its footprint in Asia — one of the fastest-growing regions for AI adoption. Investors will be looking not only at quarterly numbers but also at how Nvidia plans to navigate intensifying competition in the quarters ahead.

In an earlier report, we noted that Japan and China cut U.S. Treasury holdings amid currency pressure.

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