Memory giant SK Hynix is preparing for a potential U.S. listing expected to raise $10-$14 billion. The capital is aimed at expanding production capacity to alleviate the ongoing global memory supply shortage.
Jason·
Elon Musk has announced plans for a 'Terafab' chip plant in Austin, Texas, to serve Tesla and SpaceX, though analysts remain skeptical about potential delivery timelines given his history.
Jason·
Elon Musk is building a 'Terafab' chip manufacturing plant in Austin, Texas, as a joint effort between Tesla and SpaceX, aiming to achieve self-sufficiency in hardware for AI, robotics, and satellite data centers.
Jason·
Elon Musk has announced a joint chip manufacturing project called 'Terafab' between Tesla and SpaceX in Austin, Texas. The project aims to resolve supply chain bottlenecks and support long-term AI and robotics development, though skepticism regarding Musk's ambitious timelines remains.
Jason·
Elon Musk has announced plans to build 'Terafab,' a jointly operated Tesla and SpaceX chip manufacturing plant in Austin, Texas, aiming to scale AI and robotics production despite market skepticism.
Jason·
Nvidia's networking division reached $11 billion in quarterly revenue, solidifying its position as the company's second-largest pillar. Leveraging InfiniBand and Spectrum-X, Nvidia has transformed individual GPUs into integrated data center platforms, redefining the AI infrastructure market.
Jason·
Future tech infrastructure is undergoing three major shifts: glass substrates will boost AI chip compute density, 6G networks will integrate sensing capabilities with AI, and quantum-ready platforms are helping enterprises prepare for the next computing paradigm. These technologies will reshape the global landscape between 2026 and 2030.
Jason·
The semiconductor industry is shifting to glass substrates, with Absolics planning commercial production to power next-gen AI chips. Apple has introduced the MacBook Neo, its most modular laptop yet, while Intel launched its fastest gaming processors. Research from 2026 highlights that 'continuous batching' software combined with these hardware gains can boost efficiency by 20%.
Jason·
Meta has introduced four new custom MTIA AI chips designed to power its recommendation engines and Llama model fine-tuning. This strategic launch aims to reduce the company's multi-billion dollar reliance on Nvidia GPUs and improve data center efficiency. While Meta continues to buy Nvidia hardware for massive training tasks, it expects custom silicon to handle 40% of its inference load by 2027. This move highlights the accelerating trend of 'hyperscalers' becoming major players in semiconductor design.
Jason·