NVIDIA DGX Spark gets a 64GB version starting at $4,999; two units can be linked into 128GB
NVIDIA DGX Spark is getting a 64GB unified-memory version, sold only through manufacturer partners including Acer, ASUS, Dell, Gigabyte, HP and MSI, on sale from October twenty-third starting at $4,999. NVIDIA says it can run models of up to about a hundred billion parameters locally, and two directly connected units pool their memory to 128GB.
NVIDIA says the new 64GB configuration keeps the same GB10 Grace Blackwell Superchip, DGX OS and full AI software stack as the 128GB model, trading memory for a more accessible price. A single unit can run models of up to about a hundred billion parameters and agentic apps built on them entirely on device, without the cloud; it ships with NVIDIA Agent Toolkit, CUDA-X libraries and Nemotron open models, and supports common runtimes such as Ollama, vLLM and PyTorch.
Every unit has a built-in ConnectX-7 NIC. Two can be linked directly with a QSFP cable, with NVIDIA Sync’s Cluster Assistant detecting the devices and configuring the network, pooling memory to 128GB for models of up to about two hundred billion parameters and doubling memory bandwidth; in NVIDIA’s Qwen 3.8 27B test, two clustered systems delivered up to 1.7x the performance of one. The product page says ConnectX networking can connect up to four DGX Spark systems.
NVIDIA also says Sync Model Launcher arrives at the end of the month, letting users download and launch Qwen3.8 27B on one unit or a cluster with a few clicks, access it from a laptop, and have OpenCode set up to use it. The performance and model-size figures are NVIDIA’s own claims.
Sources
- NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI — NVIDIA Blog（RSS）
- NVIDIA DGX Spark: AI Supercomputer on Your Desk — www.nvidia.com