{"id":883396,"date":"2026-10-15T17:16:12","date_gmt":"2026-10-15T17:16:12","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/883396\/"},"modified":"2026-10-15T17:16:12","modified_gmt":"2026-10-15T17:16:12","slug":"nvidia-debuts-three-new-open-ai-models","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/883396\/","title":{"rendered":"Nvidia debuts three new open AI models"},"content":{"rendered":"\n

Nvidia (NVDA<\/a>) is expanding its family of open AI models with its latest Nemotron offerings.\u00a0 <\/p>\n

The chip giant has made championing open-weight models, downloadable models that users can modify and inspect on their own, a key part of its growth strategy.\u00a0 <\/p>\n

Open models are less expensive to use, giving more organizations the option to use AI services. And the more companies that use AI, the more chips Nvidia can sell in the long run. <\/p>\n

The company’s newest models \u2014 Nemotron 3.5 Super VL, Nemotron 3.5 Bolt 74B-A9B 24GB, and Nemotron Bolt E4B 4GB \u2014 are designed to run AI agents on everything from data center systems to desktop computers. <\/p>\n

Super VL is meant to power agents running across tasks that can take several days or weeks, Nvidia explained in a release. The company says that enterprises can also post-train the model on their own data, better customizing it for their exact needs. <\/p>\n

\"El<\/a> Nvidia CEO Jensen Huang. (AP foto\/Chiang Ying-ying) \u00b7 AP Photo\/Chiang Ying-ying <\/p>\n

Bolt 74B is designed for general agentic tasks, such as navigating web browsers and using apps, while Bolt E4B is designed for physical and conversational agents. <\/p>\n

While open-weight models generally trail closed models in terms of frontier capabilities, most users don’t need such intense firepower for the jobs they need to accomplish. What’s more, if a company can run open-weight models on its own hardware, they’re more or less free to use.\u00a0 <\/p>\n

That also offers the dual benefit of lower costs and increased privacy, since companies running their own hardware don’t have to upload their data to third-party servers. <\/p>\n

China currently dominates the conversation on open models, with companies including Moonshot AI, Alibaba Cloud (BABA<\/a>), and others offering popular model families such as Kimi K3 and Qwen. <\/p>\n

Nvidia CEO Jensen Huang has pushed for US companies to develop<\/a> and adopt more open-weight models to increase competition in the space and to avoid becoming locked into a system that relies on a small number of closed-weight models. <\/p>\n

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