Run Local AI Agents with Faster Models and Multi-Node Clustering on NVIDIA DGX Spark
NVIDIA enables faster local AI agents via multi-node DGX Spark clustering and NemoClaw.
NVIDIA detailed how developers can run autonomous, long-running AI agents locally using faster models and multi-node DGX Spark clustering with NemoClaw, addressing compute demands from large context windows and concurrent subagents. It signals a push toward on-premises agent infrastructure driven by security, privacy, and cloud-independence concerns, but it is primarily a vendor product/engineering update rather than a broad industry shift.