Infrastructure & Hardware · Tue 10 Nov

Infrastructure and hardware comprise the physical compute systems, specialized chips, and data center components that power artificial intelligence workloads. Truncated covers chip architectures, supply chains, energy requirements, and the hardware deployments that enable large scale computing.

Yesterday · Tue 10 Nov

KORA builds AI models and agents into a new Linux OS bound for Qualcomm Snapdragon PCs

AI-generated summary KORA Systems Inc. has unveiled a new Linux-based operating system designed to integrate artificial intelligence models and agents directly into the system architecture while Qualcomm Technologies Inc. collaborated with the company to bring the software to personal computers powered by Snapdragon processors. The system utilizes an inference engine called Cortex to distribute AI workloads across the central processor, graphics processor, and neural processing unit, allowing devices equipped with Snapdragon X2 Elite chips to run a 26 billion-parameter language model locally.

Also covered by WIRED Unite.AI

Going deep on local AI performance benchmarking with Apple’s Mac Studio with M5 Ultra taking on Nvidia DGX Spark — inference engine recipes mandatory for bigger models as MLX stack matures

AI-generated summary Apple’s updated Mac Studio with the M5 Ultra SoC features an 80-core GPU and options for up to 512GB of unified memory for local artificial intelligence tasks. In testing against Nvidia DGX Spark and Dell Pro Precision GB10 systems, the Mac Studio was evaluated using models such as Qwen 3.8 27B, GLM-5.3 Flash, and DeepSeek V4.1 Flash 1017.