Marvell remains heavily exposed to data centers, a segment driving roughly 76% of its total revenue.

Gary Black Highlights Custom AI Winners Investor Gary Black noted that custom chipmakers are emerging as major beneficiaries of the shifting demand in specialized AI infrastructure. Jensen Huang Touts ‘Next Trillion-Dollar Company’ The market momentum accelerated after Nvidia CEO Jensen Huang delivered a powerful endorsement during a joint appearance with Marvell CEO Matt Murphy at the Computex trade show in Taipei. Huang turned to the crowd and stated, “The next trillion-dollar company, ladies and gentlemen.” Huang explained that AI bottlenecks are shifting from raw compute power to data movement, noting, “When you take a computing challenge, and you break it down into numerous components, distributing it throughout the entire data center, connectivity becomes crucial. This is why Matt is performing so well, and why Marvell is so vital.” Market Infrastructure Demands Interconnects Marvell remains heavily exposed to data centers, a segment driving roughly 76% of its total revenue. Investors are increasingly focusing on the company’s optical interconnects, silicon photonics, and custom ASIC operations to solve data center bottleneck issues. The company also recently introduced its Teralynx T100 switch, designed to lower power consumption by up to 25% for cloud data centers. Financial Performance Triggers Stock Rally Marvell previously reported quarterly earnings of 80 cents per share on May 27, beating the analyst consensus of 79 cents per share. Revenue rose to $2.42 billion against the $2.40 billion consensus estimate. MRVL Price Action: Marvell Technology shares were up 9.85% at $319.43 during premarket trading on Wednesday. The stock is trading at a new 52-week high, according to Benzinga Pro data. Photo: PJ McDonnell / Shutterstock

Physicists at the University of Oxford show they can assemble Schrödinger’s cat-like superpositions from far more exotic quantum ingredients.

OneAdvanced has launched what it bills as the UK’s first private, sovereign healthcare large language model trained on NHS primary-care data.

Technology shares faltered amid escalating tensions between the U.S. and Iran.