By Shubhangi Chowdhury
Nvidia, the global leader in AI chips and graphics processing, is on the verge of making history as its market capitalization approaches the $4 trillion mark, putting it within striking distance of becoming the most valuable company in the world.
This California company’s valuation briefly exceeded Apple’s all-time high of $3.915 trillion (set in December 2024), reaching $3.92 trillion before settling back.
Over the last year, the semiconductor giant’s shares have soared due to the unrelenting demand for its state-of-the-art GPUs, which are utilized in advanced computing, data centers, and artificial intelligence. In recent months, Nvidia has outperformed tech giants like Amazon, Alphabet, and even Apple in the market. In June, it temporarily eclipsed Microsoft as the most valuable public business in the world.
Analysts credit Nvidia’s meteoric rise to its dominance in the AI boom, with its new AI chip, Blackwell Ultra. According to Reuters, Nvidia’s newest Blackwell chips outperform their predecessors by over two times in training large models like Meta’s Llama 3.1 405B. Specifically, 2,496 Blackwell chips completed training in 27 minutes—a feat that took more than three times the number of older Hopper chips to match.
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“Using a methodology like that, they’re able to continue to accelerate or reduce the time to train some of these crazy, multi-trillion parameter model sizes,” said Chetan Kapoor, chief product officer for CoreWeave, which is in collaboration with Nvidia.
Blackwell technology “delivered 2.2× greater performance” on Llama 3.1 training and “2.5× more performance” for fine-tuning tasks compared to H100 chips, according to the blogpost of NVIDIA.
As major cloud providers and AI developers rush to build next-gen data centers, Nvidia’s Blackwell-powered offerings are becoming the platform of choice—making the company a central pillar in the AI infrastructure boom.
Nvidia is partnering with global companies to develop AI factories that accelerate the training and rollout of cutting-edge AI systems, harnessing the latest breakthroughs in both model training and real-time inference.
The company’s data center platform combines powerful GPUs and CPUs with fast networking and advanced software tools like CUDA-X, NeMo, TensorRT-LLM, and Dynamo. Together, these tools help companies train and launch AI models faster, saving time and getting results more quickly.
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Nvidia, a company that originally built chips for video games, has seen its stock value grow nearly eight times in just four years from $500 billion in 2021 to almost $4 trillion today.
It’s now worth more than the entire stock markets of Canada and Mexico combined, and even more than all the publicly traded companies in the UK, according to LSEG data.