All articles tagged with #ai data center
KeyBanc upgrades Intel and AMD to Overweight amid AI/data-center-driven demand that has left 2026 server CPUs largely sold out, with Intel's 18A process yielding over 60% and rising foundry momentum, and major customer wins aiding higher price targets.
Marvell is acquiring XConn Technologies to expand its AI data center connectivity solutions, adding advanced PCIe and CXL switching silicon, and strengthening its UALink scale-up switch team to support next-generation AI workloads and data center infrastructure.
Meta has secured a record $27 billion in financing from Blue Owl to develop a large-scale AI data center, marking a significant investment in AI infrastructure.
Google's plan to build a ₹87,000 crore AI data center in Visakhapatnam has sparked controversy, with the government claiming it will create nearly 1.87 lakh jobs, while critics question the credibility of these claims and call for official confirmation. The project is seen as a potential economic boost for Andhra Pradesh, but transparency about actual employment and revenue benefits remains a concern.
Meta is planning to invest $1.5 billion to build an AI data center in El Paso, Texas, which will create nearly 2,000 jobs and support Meta's AI technology infrastructure, with strong community and government backing.
Google announced a $15 billion investment over five years to build a large AI data center in Vishakhapatnam, Andhra Pradesh, marking its largest investment in India and its biggest AI hub outside the US, aimed at boosting AI innovation and connectivity across the country.
Applied Digital's stock rose 16% after reporting strong Q1 results with 84% revenue growth to $64.2 million and announcing a major 150-megawatt data center expansion, including a new lease with CoreWeave expected to generate $11 billion over 15 years, highlighting its role in AI infrastructure investments.
Elon Musk is constructing a massive AI data center called Colossus 2 in Memphis, Tennessee, aiming to house over 500,000 AI chips at a cost of at least $18 billion, with significant environmental and local community impacts.
Micron Technology reported strong quarterly results driven by AI data center demand, leading to multiple analyst upgrades and a bullish outlook, but its stock declined slightly despite a recent 29% rise, amid concerns about valuation peaks and profit-taking.
Micron Technology exceeded earnings estimates in Q4 driven by strong growth in AI data centers, with earnings up 157% YoY, and forecasted further growth, boosting its stock price and positioning as a key player in AI-related memory solutions.
Microsoft is transforming Foxconn's former factory site in Wisconsin into the world's most powerful AI data center, featuring hundreds of thousands of Nvidia GPUs and a focus on environmental sustainability, with operations starting in early 2026.
Nearly 40% of Nvidia's Q2 revenue came from just two customers, with one accounting for 23% and the other 16%, highlighting a significant customer concentration risk despite strong overall growth driven by AI data centers. The company reported record revenue of $46.7 billion, up 56% year-over-year, but the reliance on a few large customers raises concerns about future stability.
Meta selected Pimco and Blue Owl to finance a $29 billion AI data center in Louisiana, marking a significant private credit deal in the AI infrastructure sector, after a competitive process involving major asset managers and banks.
Super Micro Computer's stock dropped over 20% after missing quarterly earnings and revenue expectations, citing limited working capital and revenue recognition timing issues. Despite strong revenue guidance for 2026, profitability is under pressure due to price competition and low gross margins, with analysts warning of continued margin erosion and other risks including customer concentration and past accounting issues.
Micron has launched a new portfolio of industry-first SSDs, including the world's first PCIe Gen6 data center SSD, with enhanced performance, capacity, and energy efficiency to support AI workloads and data center innovation.