The article analyzes the NVIDIA RTX Spark superchip—combining Grace CPU, Blackwell GPU, up to 128 GB unified memory and Windows AI Foundry—to show how Windows PCs are being transformed from traditional machines into local AI workstations, reshaping competition and developer workflows.
The Venado supercomputer, built for Los Alamos National Laboratory, combines Nvidia Grace CPUs with Hopper GPUs, leverages high‑bandwidth memory and Slingshot interconnects, and targets a balanced 80/20 CPU‑GPU workload split to support demanding AI and HPC applications.
At the recent GTC event, NVIDIA introduced the H100 GPU built on the Hopper architecture using TSMC 4nm process, featuring 800 billion transistors, 16,896 CUDA cores, up to 700 W power, 3 TB/s memory bandwidth, and a specialized Transformer engine that accelerates large‑model training up to six times faster, alongside the Grace CPU Superchip and new AI supercomputing systems.
