The Nasdaq-100 Technology Sector index has been in fine form in the past year, clocking impressive gains of 50%, as some of the key components of this index have witnessed a red-hot rally thanks to the proliferation of artificial intelligence (AI). Shares of Nasdaq-100 component Nvidia (NASDAQ: NVDA), for instance, have shot up 221% in
(Reuters) -Artificial intelligence server maker Super Micro Computer reported third-quarter revenue below estimates on Tuesday, hurt by a shortage of some crucial components and questions over the profitability of a new line of servers. Shares of Super Micro, which have more than tripled in value so far this year, were down 10% in pre-trading on
Stocks struggled to regain momentum Tuesday afternoon following a morning dip, as economists predicted that Wednesday’s Consumer Price Index report would show a 3.4% annual inflation rate, up from 3.2% in February. Investors have been hoping for the Federal Reserve to cut interest rates as joblessness remains low and inflation wanes. But a potential inflation
Nvidia (NASDAQ: NVDA) stock soared 82.5% in the first quarter of 2024. (The market’s quarter ended on Thursday, as U.S. financial markets were closed on Friday for the Good Friday holiday.) That performance made the artificial intelligence (AI) chip leader the second-best performer on the S&P 500 index, behind only Super Micro Computer, a server
(Bloomberg) — They may lack the pure-play allure of Nvidia Corp., but hardware firms that provide the infrastructure for artificial intelligence computing are becoming the next hot trade. Most Read from Bloomberg While the likes of Micron Technology Inc., Super Micro Computer Inc. and Dell Technologies Inc. have been rewarded for proven results, expectations are
Share prices of Super Micro Computer (NASDAQ: SMCI) took off in the past year, gaining 1,180% as of this writing, and a big reason behind the stock’s red-hot surge is the booming demand for Nvidia‘s (NASDAQ: NVDA) artificial intelligence (AI) graphics cards. Supermicro’s modular server rack-scale systems are being used to mount AI-related graphics cards