Nvidia launches new open models to run agents in the enterprise and on PCs

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. “Unlike closed frontier models, organizations can post-train Super VL on their own data, deploy it on their own infrastructure and own what they build,” Briski wrote. 

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. It is intended to balance speed with reasoning to handle multistep reasoning, tool calling and web browsing. The smallest Bolt E4B is aimed at conversational agents. 

Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming later this month, Nvidia says.