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Nvidia-Backed CoreWeave Targets $32 Billion Valuation in AI-Focused IPO

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CoreWeave, a cloud services provider backed by Nvidia, is targeting a valuation of up to $32 billion in its upcoming initial public offering (IPO) in the United States. The company aims to capitalize on strong demand for generative artificial intelligence (AI), marking a crucial moment for the revival of the U.S. IPO market. This listing is also seen as a key gauge of investor appetite for new entrants in the AI sector, which has driven stock market gains in recent years.

CoreWeave plans to sell 49 million shares, priced between $47 and $55 each, aiming to raise as much as $2.7 billion. In addition to its IPO, the company has secured significant AI partnerships, including an $11.9 billion infrastructure deal with OpenAI, the creator of ChatGPT. As part of the IPO, CoreWeave will issue $350 million worth of shares to OpenAI in a private placement.

The company, which provides data center access and high-powered chips primarily from Nvidia, is aiming for a valuation of $26 billion to $32 billion, based on the IPO’s share pricing range. Nvidia, which currently owns 5.96% of CoreWeave’s Class A shares, will see its stake reduce to 5.05% post-offering.

CoreWeave’s IPO is considered a litmus test for the broader AI sector and the future of specialized data centers versus traditional cloud giants. If the IPO performs well, it could signal renewed confidence in IPOs, while a weak showing may raise concerns about investor appetite despite improving market conditions.

Nvidia CEO Predicts Humanoid Robot Revolution Within Five Years

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Nvidia CEO Jensen Huang has predicted that humanoid robots will become widely used in manufacturing within the next few years, much sooner than many expect. Speaking at the company’s annual developer conference in San Jose, California, Huang unveiled new software tools designed to help robots navigate real-world environments more effectively.

In a conversation with journalists after his keynote address, Huang emphasized that the widespread presence of humanoid robots is not a long-term vision but an imminent reality. He suggested that manufacturing will be the first industry to adopt these robots due to its structured environment and well-defined tasks, making automation more feasible.

Factories provide a controlled setting where humanoid robots can be integrated with minimal disruption, Huang explained. He also highlighted the economic advantages, noting that the cost of renting a humanoid robot could be around $100,000, making them a viable alternative to human labor in certain roles.

Nvidia’s advancements in AI and robotics continue to drive innovation in automation, with the company at the forefront of enabling next-generation robotic systems.

Nvidia to Invest Billions in U.S. Chip Production Over Four Years

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Nvidia (NVDA.O) plans to invest hundreds of billions of dollars in U.S.-made chips and electronics over the next four years, CEO Jensen Huang told the Financial Times. The company expects to spend around $500 billion on electronics during this period, with a substantial portion allocated to domestic manufacturing.

Huang emphasized that the U.S. AI industry could expand more rapidly with support from government policies. His comments come as Nvidia seeks to address investor concerns about demand for its high-cost AI chips, especially following the emergence of China’s DeepSeek chatbot as a potential competitor.

While Nvidia declined to comment on the FT report, Huang stated that the company can now manufacture its latest systems in the U.S. through key suppliers like Taiwanese chipmakers TSMC (2330.TW) and Foxconn (2317.TW). He also noted an increasing competitive threat from China’s Huawei.

Huang highlighted that TSMC’s U.S. investments significantly strengthen Nvidia’s supply chain resilience. Earlier, at Nvidia’s developer conference in California, he told analysts that orders for 3.6 million Blackwell AI chips from four major cloud firms likely underestimate actual demand, as they do not account for customers such as Meta Platforms (META.O), smaller cloud providers, and startups.