A GPU, or graphics processing unit, is a processor built to perform many calculations in parallel. Although originally designed for rendering graphics, this structure is well suited to the matrix and vector operations at the center of deep learning. GPUs accelerate both model training and inference, and multiple units can be connected to handle larger models or datasets. Performance depends not only on raw arithmetic speed but also on memory capacity, memory bandwidth, interconnects, numerical formats, cooling, and software libraries. Consumer, data-center, and integrated GPUs serve different workloads, so the most expensive chip is not automatically the most efficient choice for every AI application.
SK Hynix raised $26.5 billion in its Nasdaq debut, the largest US listing ever by a foreign company, as investors rushed to buy into the AI memory chip boom.
Meta plans to begin manufacturing its in-house Iris AI chip in September as it aims to double computing capacity to 14 gigawatts next year and cut its reliance on Nvidia.
Apple expanded its partnership with Broadcom in a multi-year deal worth more than $30 billion, its largest US manufacturing commitment, to produce over 15 billion American-made chips.
Nvidia’s Kyber rack for its 2027 Rubin Ultra chips has slipped more than a year to 2028 over a hard-to-manufacture circuit board, SemiAnalysis says, with no proven fallback.
OpenAI teased its first branded hardware, Codex Micro, a programmable macro pad built with Work Louder to give developers physical shortcuts for its Codex coding agent, launching July 15.
A record European heatwave is highlighting a growing threat to the AI boom: extreme weather that stresses data centers and the power grids they depend on at once.
SK Hynix filed to raise about $29 billion through a Nasdaq ADR listing set for July 10, roughly double earlier estimates, to fund its AI memory expansion.
Qualcomm agreed to acquire Modular, the AI software startup led by Chris Lattner, to build a hardware-agnostic software layer and challenge Nvidia in data center AI.
Kazakhstan’s Data Center Valley would deploy 100,000 Nvidia GPUs near cheap power by 2027, though analysts flag execution risk after a history of stalled deals
SpaceX has released its most detailed look yet at a planned orbital AI data center satellite, unveiling a 70-meter-wingspan structure during the same week the company is pitching investors on a $1.75 trillion public listing.