Nvidia on Thursday launched new open-weight models designed for always-on agents and edge computing. The Nemotron 3.5 Super VL is a large, 120-billion-parameter model geared for agents used by the enterprise. While it uses fewer parameters than the Nemotron 3 Ultra model, Nvidia says it can deliver similar accuracy in instruction-following and tool-use tasks.
At the other end of the spectrum, the company also launched two lightweight Bolt models. These are intended to run locally on the new AI PCs (running the Nvidia RTX Spark chip) and workstations running the DGX Spark. Such PCs, aimed at consumers, programmers and enterprise knowledge workers, are being released right now into the market through partners like Microsoft and Dell.
Nvidia claims that the Super VL completes tasks faster than competing models from Anthropic and OpenAI (Opus 5, GPT 6.1 Sol, Luna, Astra) when post-trained on specific agentic tasks. These tasks include document intelligence, financial accounting, scientific experimentation, medical insurance claims, and security attack resilience. While such claims are standard whenever a major tech company announces a new model, Nvidia has backed it up with a list of heavy-hitter companies that it says are using Super VL.
These include Skydance, EY, Ramp, Crowdstrike, Perplexity and Salesforce. Of course, these aren’t the first open-weight models that Nvidia has released that compete with the proprietary frontier labs – companies that are both its customers and its investments. The GPU giant has an entire family of Nemotron models that do everything from multimodal artificial intelligence to reasoning, coding, math, and enterprise automation.
However, those fast-growing proprietary AI labs are now looking to many other chips and AI system makers beyond Nvidia to power their needs (like AWS’s Trainium and Cerebras as well as building their own home-grown chips). So Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers. But with the announcement or the smaller, local PC models, it is also trying to push forward the nascent trend of consumer AI assistants.
While it seems a new AI assistant is introduced every day by startups and big tech alike, privacy weary consumers may not want to invite such agents so deeply into their lives giving them access to info about their families, health, finances and so on. So Nvidia, hopes to create a new market for itself selling PCs powered by its chips by creating machines that run the models and agents locally, PC users “can delegate everyday projects … without sending those workloads to the cloud,” Briski wrote. Of the two Bolt models, Nemotron 3.5 Bolt 74B-A9B 24GB is a 74-billion parameter model designed for local agentic tasks.
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