TSMC generated $30 billion in revenue in Q2, signaling robust demand for its 3nm and 5nm chip nodes. While revenue is soaring, profits are rising even faster thanks in part to widening gross margins. Spending on AI infrastructure is expected to reach trillions of dollars over the next several years.

NVIDIA resumes shipping its H20 AI GPU into China, piggybacking its new B30 AI GPU for China later this year, thanks to US export restriction ease.

Nvidia (NASDAQ:NVDA) has been a standout performer in 2025, climbing 18% year-to-date, driven by its dominance in the artificial intelligence (AI) chip market. After delivering staggering returns in recent years,

Nvidia completed its 10-for-1 stock split on June 7 of last year, with shares trading at the split-adjusted price as of June 10. This brought the shares down from about $1,200 to $120. Since that time, Nvidia stock has experienced ups and downs, but it's delivered a gain of more than 40%.

Nvidia is poised to take advantage of growing demand for sovereign artificial intelligence, Citi analysts wrote Monday.

The Sky Is the Limit Artificial intelligence (AI) is reshaping industries, from healthcare to finance, by enabling unprecedented automation, data analysis, and innovation. Machine learning models, generative AI,

The accomplishment is even more impressive considering it has been just two years since Nvidia passed $1 trillion in market cap. Apple and Amazon reached $1 trillion in 2018 and Microsoft followed suit in 2019.

Investors looking for high-growth opportunities have turned to the artificial intelligence (AI) sector in recent years. This is as companies operating in the space have delivered impressive ...

SK Hynix is making record profits due to the increasing demand for AI chips, particularly from Nvidia. This performance has propelled it past its competitor, Samsung, in the high-end memory space. SK Hynix reported a major boost in Q2 earnings following rising demand for its AI-focused memory chips.

Both CoreWeave and Nvidia are growth superstars. Both AI stocks look expensive at first glance, but their valuations need to be assessed in light of their growth prospects. Which stock is the better pick to buy right now depends on your take on what's going to happen with AI demand.