NVIDIA releases Nemotron 3.5 Super VL and announces two Bolt edge models
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NVIDIA released Nemotron 3.5 Super VL, an open 120-billion-parameter model for multimodal agents, and Nemotron 3.5 Bolt 74B-A9B 24GB, optimized for local tasks on NVIDIA hardware. Nemotron 3.5 Bolt E4B 4GB, designed for conversational and physical agents, is scheduled for October 23. NVIDIA says Super VL reaches accuracy comparable to that of its largest reasoning model with about one-fifth the parameters, and can complete tasks up to five times faster than the next model in its class.
The company says the three models cover agent deployments from enterprise servers to edge devices and local hardware. Organizations including Scale AI, AI21, Alice and Mercor are post-training Super VL with their own data, tools and workflows for specialized applications in areas such as finance, cybersecurity and coding.
Why it matters · editorial interpretation
Combining an open multimodal model with versions aimed at local hardware could expand the options for building agents across environments, from servers to the edge. Because the performance figures are NVIDIA’s claims, they still need to be assessed in the context of each application, including coding, finance and cybersecurity.
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