3. NVIDIA Corporation (NASDAQ:NVDA)
Number of Hedge Fund Holders as of Q4: 223
Adage Capital Management’s Equity Stake: $3.10 Billion
Upside Potential as of May 2: 44.30%
Headquartered in Santa Clara, California, NVIDIA Corporation (NASDAQ:NVDA) is a global leader in GPU-accelerated computing, driving innovation across industries such as gaming, professional visualization, data centers, and automotive technologies. The company’s graphics processing units and AI chips play a foundational role in emerging technologies, from powering immersive gaming experiences to enabling complex data center operations and artificial intelligence platforms. In the fourth quarter of fiscal year 2025, NVIDIA reported a record revenue of $39.3 billion, reflecting an impressive 78% increase compared to the same period the previous year. Its GAAP earnings per diluted share rose to $0.89, underscoring the company’s exceptional performance and the robust demand for its AI and data infrastructure products.
Despite its commercial success, NVIDIA Corporation (NASDAQ:NVDA) has faced challenges amid growing geopolitical tensions between the United States and China, particularly regarding restrictions on the export of advanced semiconductors. The U.S. government, through new Commerce Department regulations, now requires NVIDIA to obtain export licenses for the H20 AI chip, which was originally developed to meet prior export limitations. This development is part of a broader U.S. strategy to limit China’s access to cutting-edge AI technology while investing heavily in domestic semiconductor production. In alignment with this policy, NVIDIA announced a $500 billion investment in AI server infrastructure within the United States, while Taiwan Semiconductor Manufacturing Company (TSMC), one of its key manufacturing partners, committed an additional $100 billion to bolster its operations in Arizona. These moves reflect the growing emphasis on reshoring critical tech capabilities and reducing reliance on international supply chains.
To maintain its foothold in China—a market that contributed 13% of its total revenue last year—NVIDIA Corporation (NASDAQ:NVDA) CEO Jensen Huang traveled to Beijing to meet with high-ranking government officials. During his visit, Huang reiterated NVIDIA’s commitment to the Chinese market, signaling the company’s intent to preserve collaborative relationships in the region despite escalating trade restrictions. Nevertheless, investor confidence in NVIDIA Corporation (NASDAQ:NVDA) remains robust. The company’s stock has a bullish price target of $165.22, indicating an upside potential of 44.30%, effectively placing it among the huge upside potential stock picks of billionaire Phill Gross.
Alger Spectra Fund stated the following regarding NVIDIA Corporation (NASDAQ:NVDA) in its Q4 2024 investor letter:
“NVIDIA Corporation (NASDAQ:NVDA) is a leading supplier of graphics processing units (GPUs) for a variety of end markets, such as gaming, PCs, data centers, virtual reality, and high-performance computing. The company is leading in most secular growth categories in computing, and especially artificial intelligence and super-computing parallel processing techniques for solving complex computational problems. In our view, Nvidia’s computational power is a critical enabler of AI and therefore essential to AI adoption. Shares contributed to performance during the quarter, driven by strong demand for its data center products, especially the Hopper H200 chips, which generated double-digit billions in revenue, marking the fastest product ramp in the company’s history. Management provided fiscal fourth-quarter revenue guidance above analyst estimates, along with resilient operating margins supported by robust demand and limited competition. In our view, Nvidia’s leadership in scaling AI infrastructure, including advancements in inference and test-time scaling (i.e., reasoning during inference), is driving adoption among enterprises and startups, providing continued demand for its high-performance chips and software solutions. As older-generation chips are repurposed for inference and new clusters are deployed, we believe Nvidia is well-positioned to capitalize on growing compute needs across AI applications.”
