NVIDIA releases Nemotron models for local edge agent deployment
NVIDIA launched open-weight models designed for always-on agents and edge computing, including a 120-billion parameter enterprise model and lightweight variants for AI PCs. The company claims these models outperform competitors on specific agentic tasks when post-trained.
NVIDIA launched new open-weight models on Thursday, targeting the growing market for always-on agents and edge computing. The flagship release, Nemotron 3.5 Super VL, is a 120 billion parameter model designed for enterprise agents. It uses fewer parameters than the Nemotron 3 Ultra model but claims similar accuracy in instruction following and tool use. NVIDIA also introduced two lightweight Bolt models intended to run locally on AI PCs equipped with the NVIDIA RTX Spark chip and workstations with the DGX Spark, which are being released through partners such as Microsoft and Dell.
NVIDIA claims that Super VL completes tasks faster than competing models from Anthropic and OpenAI, including Opus 5, GPT 6.1, Sol, Luna, and Astra, when post-trained on specific agentic tasks. These tasks include document intelligence, financial accounting, scientific experimentation, medical insurance claims, and security attack resilience. The company lists Skydance, EY, Ramp, CrowdStrike, Perplexity, and Salesforce as current users of SuperVL, which is available immediately.