Nvidia vs. Broadcom: Which Is the Better AI Chip Stock to Own in 2025?

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When it came to artificial intelligence (AI) infrastructure in 2024, Nvidia (NASDAQ: NVDA) reigned supreme. However, Broadcom (NASDAQ: AVGO) will be looking to challenge the chipmaker in 2025.

Both stocks have had strong runs in 2024, with Nvidia's stock up over 170% year to date as of this writing and Broadcom up around 107%. Let's consider which semiconductor stock looks like the better buy heading into 2025.

AI infrastructure growth

Since the start of the AI boom, Nvidia has been the biggest winner. As the maker of graphics processing units (GPUs) the company's chips became the backbone of AI infrastructure. Training large language models (LLMs) and running AI inference take a lot of computing power, and GPUs have proven to be the best chips for these tasks as they are able to perform many calculations at the same time in what is called parallel processing.

Nvidia, meanwhile, became the market leader in GPUs due to its CUDA software platform. The company originally developed the free software to allow developers to program its chips for tasks beyond speeding up the graphics rendering in things like video games, the job for which they were initially created, in order to sell more chips. As a result, CUDA became the program on which developers learned to train GPUs, which is what has helped create the large moat the company sees today. It currently has about a 90% market share in GPUs as a result.

The combination of its powerful GPUs and wide moat due to CUDA led the company to see astronomical growth as large tech companies race to develop more powerful AI models. Through the first nine months of its fiscal 2025 ending in January 2025, Nvidia's revenue surged 135% to $91.2 billion, while last quarter its revenue soared 94% to $35.1 billion.

With AI models needing exponentially more computing power as they become more advanced, Nvidia's future growth prospects also look promising. In fact, recent iterations of Alphabet's Llama AI model and xAI's Grok model are being trained using up to 10 times as many GPUs as their predecessors. At the same time, Nvidia's hyperscale customers (those that own huge data centers) have indicated they plan to increase their spending on AI infrastructure next year as they see AI as a generational opportunity. For their part, analysts are projecting the company will grow its revenue by just over 50% next year.

Artist rendering of AI chip.
Image source: Getty Images.

While Nvidia is dominating the AI chip space, Broadcom is making inroads by helping customers develop custom AI chips. Its application-specific integrated circuits, or ASICs, are designed specifically for a customer's precise needs and can help with improved performance and more efficient power consumption.