NVIDIA Announces DGX Spark 64GB: A 1-PetaFLOP Grace Blackwell Desktop for Local AI Agents, Fine-Tuning, and Inference

NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow.

The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The timing is not accidental. Agents burn tokens continuously through tool calls, retries, long context, and multi-step plans. Token consumption has grown 14x since early 2026. On a cloud API, every one of those tokens is billed.

On owned hardware, there is no per-token fee. The 64GB model keeps the same GB10 Grace Blackwell superchip, NVIDIA CUDA accelerated AI software stack, and ConnectX-7 networking as the original — updated with 64GB of unified LPDDR5x instead of 128GB. NVIDIA positions that as enough for today’s most capable 30–35B class open models. NVIDIA continues to…