Yesterday, NVIDIA officially unveiled DGX Spark with 64GB memory. This compact personal AI supercomputer is designed for local deployment, inference, fine-tuning, and running autonomous agents.
NVIDIA DGX Spark
DGX Spark combines NVIDIA Grace Blackwell compute, unified memory, NVIDIA ConnectX-7 networking and an NVIDIA CUDA-accelerated AI software stack in one system. It’s a complete local AI platform for agents, inference, fine-tuning, data science and edge development.
The new 64GB configuration, available exclusively from manufacturer partners, keeps the platform at an accessible price point while retaining the GB10 Grace Blackwell Superchip, DGX OS and the full NVIDIA AI software stack, the same as the 128GB model. It supports up to 100-billion-parameter models and the agentic applications built on them, fully on-device.
In NVIDIA’s Qwen 3.8 27B test, two clustered 64GB systems delivered up to 1.7x performance compared with a single system, with room to keep scaling as workloads demand.
NVIDIA Agent Toolkit, CUDA-X AI libraries, Nemotron open models, and popular runtimes like Ollama, vLLM, and PyTorch with CUDA are all supported out of the box. Developers can go from power-on to running models in minutes. Blender is among the first major creator application providers to support the platform, with a prebuilt, downloadable installer coming soon.
Developers can also connect two units directly with a QSFP cable, pooling their memory to 128GB and expanding model support to up to 200 billion parameters while delivering twice the memory bandwidth and up to 1.7x the performance.
The NVIDIA Sync app configures this multi-node cluster seamlessly. The cluster assistant feature detects connected units, validates device configuration and configures the ConnectX-7 network, so developers can focus on their work rather than the infrastructure.
And coming at the end of the month, NVIDIA Sync Model Launcher makes running local AI as simple as clicking a few buttons. Developers can download and launch Qwen3.8 27B on a single DGX Spark system or a cluster, with NVIDIA Sync configuring the model to run across connected devices and making it accessible from users’ laptops. The launcher will also set up OpenCode to use the model, so developers can start coding in their browser.
The new DGX Spark 64GB configuration supports practical work from day one, like running an AI agent around the clock, powering AI apps on your everyday PC and scaling when the work grows.
Availability
DGX Spark 64GB will be available from Acer, ASUS, Dell, Gigabyte, HP and MSI from 23rd October, starting at $4,999.
