XLA, short for Accelerated Linear Algebra, is a compiler designed to optimize tensor computations used by machine learning frameworks. It can combine operations, remove redundant work, plan memory use, and generate efficient code for CPUs, GPUs, and specialized accelerators. These transformations may reduce training time, inference latency, and memory overhead without changing the model’s intended mathematics. Benefits vary by workload, shapes, framework integration, and hardware, and compilation itself adds time that may not help short-lived jobs. Numerical behavior can also differ slightly because operations are reordered or fused. Teams benchmark complete applications, verify accuracy, and retain fallback paths when an optimization is unsupported or unstable.
Nvidia has unveiled its first Arm-based PC processor, the RTX Spark superchip, which will power a new generation of Windows laptops and desktops.
Google and Blackstone have formed a new AI infrastructure company focused on offering cloud access to Google’s TPU chips. The venture aims to expand alternatives to Nvidia-powered AI infrastructure with $5 billion in initial funding.
OpenAI’s rumored AI-focused smartphone could enter mass production in 2027, earlier than previously expected, according to analyst Ming-Chi Kuo.
AI startup Recursive Superintelligence has raised $500 million from Nvidia and GV to pursue self-improving AI systems, despite having no public product.
LinkedIn is testing a new platform that lets users earn up to $150 per hour training AI models. The move taps into fast-growing demand for human feedback in AI.
As John Ternus prepares to take over as Apple CEO, investors are demanding a clearer AI strategy. The company risks falling behind rivals investing heavily in AI.
Intel has joined Elon Musk’s Terafab project aimed at scaling AI chip production, though its exact role remains unclear. The effort targets massive compute output for AI and robotics.
Alibaba has unveiled a new CPU designed for AI agents, focusing on inference and customizable workloads. The chip reflects China’s push to build domestic AI infrastructure.
Elon Musk announced plans for Terafab, a dual chip factory project by Tesla and SpaceX to produce AI chips for vehicles, robots, and space-based data centers.
Nvidia CEO Jensen Huang said demand for Blackwell and Vera Rubin systems could reach $1 trillion by 2027, as the company unveiled new chips, racks, and AI infrastructure at GTC.