Amazon signs multiyear fiber supply deal with Corning to support U.S. data center buildout
The agreement calls for optical fiber, cable, and connectivity products tied to AWS expansion, with manufacturing jobs and training support in North Carolina.
Big tech, chips, software, cloud, AI platforms, devices, and the companies shaping the digital economy.
The agreement calls for optical fiber, cable, and connectivity products tied to AWS expansion, with manufacturing jobs and training support in North Carolina.
THE APEX TIMES
On CNBC’s Mad Money, Jim Cramer said Nvidia remains central to the AI build-out, even as he warned that investor enthusiasm and uncertainty can move the stock in abrupt swings.
On its earnings call, Jensen Huang framed the AI infrastructure expansion as accelerating at “extraordinary speed.” A separate market report suggests the next battleground may be whether enterprises can prove the returns from all that spend.
A geopolitical easing announcement helped lift U.S. equities, while semiconductor names led the move. Marvell’s surge was tied to its upcoming S&P 500 addition, and Intel jumped alongside the AI-infrastructure complex.
A Wall Street Journal ranking compiled with Bendable Labs places Apple behind other megacap peers on AI preparedness and strategic disclosure, a score that arrives as Apple continues to rebuild Siri and has, according to reports, turned to Google’s Gemini model as a bridge.
Policy talk about government financial stakes in leading AI companies and fresh reporting about chip-manufacturing contingency planning underscore how tightly linked artificial intelligence, semiconductors, and regulation have become.
A new Gray and Roberts Counties project pairs an air-cooled data center with wind, solar, storage, and firming power, as Alphabet continues to fund AI compute buildout.
Marvell shares have surged on investor enthusiasm for the AI infrastructure layer, helped by a high-profile Nvidia partnership that aims to plug Marvell’s custom chips into Nvidia’s rack-scale ecosystem.
An analyst at D.A. Davidson argues that Nvidia’s AI-chip margins may stay near the mid-70% range for years, citing hyperscalers’ limited near-term alternatives despite the rise of custom silicon.