NVIDIA is a semiconductor company best known for its GPUs, which are the primary compute hardware for training and running AI models. Its H100 and A100 chips power the majority of AI data centers worldwide.
Micron Technology surpassed $1 trillion in market capitalization on May 26, closing at approximately $895.88 per share after a roughly 19% single-day surge — the company's best performance since 2011.…
Micron Technology and SK Hynix both surpassed $1 trillion in stock market value this week, driven by surging demand for chips used in artificial intelligence. Micron reached the milestone just 48 days…
Pope Leo XIV, OpenAI CEO Sam Altman, and Nvidia CEO Jensen Huang have each recently offered measured perspectives on artificial intelligence, pushing back against both utopian and doomsday narratives.…
Nvidia increased its annual spending in Taiwan from $15 billion to $150 billion, a tenfold investment surge that cements the island as the central hub for global AI infrastructure. The company plans t…
The cost of renting Nvidia’s H100 GPUs declined after a surge in early May, according to the Ornn Compute Price Index (OCPI) published by Ornn AI Inc. The index, now accessible on the Bloomberg Termin…
Rumble plans to close its $767 million acquisition of Northern Data AG by mid-June, gaining 22,400 Nvidia GPUs and data center capacity to compete directly with AWS, Azure, and Google Cloud in AI clou…
Global Research published an opinion piece arguing that the ongoing data center buildout for AI carries hidden economic and energy costs, reporting that an MIT analysis found AI cost-effective in only…
Goldman Sachs projects that AI infrastructure spending will drive roughly 50% of S&P 500 earnings per share growth over the next two years, with Nvidia and Micron together accounting for about one-thi…
Bank of America reaffirmed Nvidia as its top AI compute stock pick, citing the company's dominant position in the data center GPU market and strong demand for its next-generation Blackwell chips. The …
The U.S. government has approved a secret $9 billion request for Nvidia GB10 superchips to help the CIA and NSA keep pace with private-sector AI leaders like Anthropic and OpenAI. The chips, which del…
Nvidia's planned AI inference GPU will not launch in 2024, according to industry reports, a delay that could benefit PC gamers by freeing up manufacturing capacity for consumer graphics cards. The pos…
References to a potential "DLSS 5" have been discovered within Nvidia's latest graphics driver. However, the company has remained silent on any new developments regarding its AI-powered image enhancem…
On May 18, Cursor released Composer 2.5, a coding model that matches frontier performance at roughly one-tenth the cost, scoring 79.8% on SWE-Bench Multilingual and 63.2% on CursorBench v3.1. The mode…
IREN shares rose in postmarket trading Tuesday after the data company secured a $1.6 billion agreement with Dell for air-cooled Blackwell systems, supporting its AI cloud contract with Nvidia. The dea…
Taiwan has launched an investigation into an alleged smuggling operation that used Japan as a transit hub to funnel restricted Nvidia AI chips to China. Three suspects were detained on May 21, and aut…
Nvidia CEO Jensen Huang announced the company will invest approximately $150 billion annually in Taiwan, calling the country the "epicentre of the AI revolution." The massive investment underscores Ta…
Corning (GLW) received a Buy rating with 10-15% upside from a Seeking Alpha analyst, driven by AI-related optical demand tied to a reported long-term partnership with Nvidia, a tariff-protected U.S. s…
Five of the largest hyperscale technology companies and Nvidia are all led by female chief financial officers, a group that includes Meta's Susan Li, Microsoft's Amy Hood, Alphabet's Anat Ashkenazi an…
SK Hynix surpassed $1 trillion in market capitalization on May 26-27, becoming the second South Korean company to reach the milestone after Samsung Electronics. The memory chipmaker's stock surged ove…
Intel saw every major technological shift from mobile to AI years in advance but systematically failed to execute due to internal bureaucracy and an obsession with x86 profit margins, according to a d…