The AI market is evolving from focusing mainly on GPUs for training large models to increasing demand for CPUs to handle inference tasks, which involve running AI models in real-world applications. This shift highlights the growing importance of steady computing capacity across servers and data centers as AI integrates into workflows like search, customer service, and coding. Companies like Intel and Arm note that AI server setups may require fewer GPUs per CPU as inference grows, benefiting server makers like Dell and HPE. This phase could broaden AI spending beyond chip training to infrastructure supporting continuous AI use, signaling a maturing market with wider investment opportunities.
Mad Money host Jim Cramer declared Intel as his favorite stock, citing its strong position in the AI infrastructure boom and its role as the third-largest customer of semiconductor maker ASML. He believes Intel's CEO is steering the company to be a k...
Asian semiconductor stocks experienced a significant decline following a sell-off in US chipmakers, with SK Hynix shares dropping over 9% in Seoul after an earlier 8% rally. The sell-off reflects concerns over AI spending and profit-taking after a st...
Sanjeev Sharma forecasts the S&P 500 will finish 2026 slightly below its starting point due to weak consumer fundamentals like stagnant wage growth, high inflation, elevated gas prices, and rising interest rates. His disposable income-based model hig...
The Direxion Daily Technology Bull 3X ETF (TECL) is rated Buy due to easing inflation and a positive outlook for the Nasdaq-100, driven by growing AI infrastructure investments and increasing influence of smaller AI-related companies beyond the major...
Intel Foundry has begun high-volume manufacturing of select Intel Core Ultra Series 3 processors, known as Panther Lake, using ASML's High NA EUV lithography on the Intel 18A process node. This marks a key milestone in semiconductor manufacturing, de...
