# Recursive Flint

At GTC Berlin, Nvidia laid out a local AI hardware line running from Windows PCs to desk-side workstations, and said DGX Spark can be manually configured into clusters of up to eight units with 1TB of unified memory, enough to run frontier-class models such as GLM 5.3. Previously, local devices were bounded by single-machine memory and ran smaller models or leaned on the cloud. A companion NVIDIA Sync Model Launcher reduces model download, container setup and OpenCode connection to a few clicks.

At GTC Berlin, Nvidia laid out a local AI hardware line running from Windows PCs to desk-side workstations, and said DGX Spark can be manually configured into clusters of up to eight units with 1TB of unified memory, enough to run frontier-class models such as GLM 5.3. Previously, local devices were bounded by single-machine memory and ran smaller models or leaned on the cloud. A companion NVIDIA Sync Model Launcher reduces model download, container setup and OpenCode connection to a few clicks.