TL;DR NVIDIA has put a 64GB configuration of DGX Spark on sale from Acer, ASUS, Dell, Gigabyte, HP and MSI from 23 October, starting at $4,999, with the same GB10 Grace Blackwell superchip, DGX OS and AI software stack as the 128GB model. One unit runs models up to 100 billion parameters entirely…
I run an Nvidia DGX Spark — the little GB10 ARM box with 128 GB of unified memory. My morning ritual for the past week had been simple: cd spark-vllm-docker git pull ./run-recipe.sh qwen3.8-flash-next-nvfp4-solo --solo --earlyoom --setup Pull the recipe repo, rebuild, serve. This morning it stopped…
Michael Kan / PCMag : Nvidia announces a version of DGX Spark with 64 GB of unified memory for $4,999, or $1,000 more than the 128 GB version at launch — The ongoing memory shortage has prompted Nvidia to create a 64GB version of its DGX Spark mini PC, which runs AI models locally. The only problem?
Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory…
Meanwhile 128 GB version jumps to $6,950, nearly 75% above its launch price
