#GPU

Micron’s stock has surged due to intense demand for AI-powering memory components, outperforming tech peers with a $520 billion market cap. The global memory crunch challenges tech firms facing rising costs. Analysts project strong revenue growth for Micron, with its CEO emphasizing memory’s strategic importance for AI. Major tech players are heavily investing in AI infrastructure, driving unprecedented demand for GPUs, which benefits Micron as its high-bandwidth memory is sold out through 2026. Memory shortages are expected to persist for years, impacting PC and smartphone markets. Micron is expanding production capacity with new facilities in New York and India.

Nvidia is strategically pivoting to emphasize its CPUs, moving beyond its GPU dominance to power the agentic AI revolution. As agentic AI demands more general-purpose processing for data orchestration and coordination, Nvidia’s optimized CPUs are becoming crucial bottlenecks. The company is enhancing its Grace and Vera CPU lines, integrated with its leading GPUs, to meet this growing need. This shift is driven by the exponential growth of AI applications and a projected doubling of the CPU market, positioning Nvidia for comprehensive AI compute solutions.

Nvidia’s Vera Rubin AI system, set for late 2026, offers a tenfold performance-per-watt increase over Grace Blackwell. This massive platform integrates 72 Rubin GPUs and 36 Vera CPUs, with a complex global supply chain. Designed for efficiency with 100% liquid cooling, Vera Rubin aims to address escalating AI energy demands and costs. Key customers like Meta are already planning deployments, underscoring its significance amid growing competition.

Arista CEO’s comments suggest a shift in AI hardware adoption, with AMD gaining traction against Nvidia’s dominance. Ullal reported 20-25% of Arista’s AI deployments now use AMD accelerators, up from nearly none a year ago. This diversification is also influenced by Nvidia’s integrated networking solutions, impacting Arista’s market position. The AI hardware landscape remains dynamic, with intense competition driving innovation.

Intel has appointed a new chief architect to accelerate GPU development, signaling a strong push into the AI chip market. This move aims to bolster Intel’s position against rivals like Nvidia and AMD, which currently dominate the GPU sector crucial for AI applications. The company is also navigating foundry growth, supply chain challenges, and a significant memory chip shortage projected to last until 2028.

AMD’s Q4 earnings exceeded expectations, driven by strong data center and client segment growth. While revenue beat projections, the company’s Q1 guidance, though indicating growth, was viewed as conservative by some, given the AI boom. Despite a stock dip, AMD secured significant AI customer wins and is poised to launch its Helios AI system, highlighting its increasing traction in the competitive AI hardware market.

Nvidia is investing $2 billion in CoreWeave, an AI cloud provider, to expand its data center capacity. This move deepens their partnership, with CoreWeave integrating more Nvidia technologies. Nvidia views this as a strategic deployment of capital to strengthen its ecosystem and secure future hardware demand, aiming to build a comprehensive AI infrastructure. The investment comes as CoreWeave’s valuation has surged.

words.U.S. AI‑related stocks fell on Friday, extending a three‑day decline. Oracle dropped over 2% after Thursday’s 11% plunge from revenue that missed forecasts, pulling down peers like Micron and CoreWeave. Despite strong demand for AI infrastructure, Oracle’s $16.06 billion revenue fell short of expectations, raising concerns about its debt‑financed AI‑cloud expansion and the tight GPU ecosystem. Morningstar cut Oracle’s fair‑value target to $286 but still sees the shares as undervalued. Market focus now shifts to next week’s earnings for signs of sustainable AI growth.

U.S. authorities dismantled a China‑linked smuggling ring that moved over $160 million of export‑controlled NVIDIA H100 and H200 GPUs. Operation Gatekeeper led to the guilty plea of Texas businessman Alan Hao Hsu and his firm Hao Global, plus charges against New York‑based Fanyue Gong and Canadian Benlin Yuan for using falsified documents and “straw purchasers” to reroute chips to mainland China, Hong Kong and other prohibited sites. The bust underscores heightened enforcement of AI‑hardware export controls and the broader U.S.–China rivalry over advanced semiconductor technology.