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NVIDIA's latest 120B-parameter model completes tasks 5x faster
- On Thursday, Nvidia announced the Nemotron 3.5 family, including the 120B Super VL vision-language model and two smaller Bolt edge models for local autonomous agentic tasks.
- Targeting specialized agentic work, Super VL delivers "the fastest task completion and highest accuracy for specialized, always-on agents," according to Nvidia, claiming fivefold speed gains over competitors.
- Benchmark testing shows Super VL achieving 80.8% accuracy on CharXiv, outperforming competitors in scientific reasoning and terminal tasks, though trailing on SWE-bench Verified at 71.1.
- The Bolt 74B-A9B uses 2-bit quantization to operate within 24GB of memory, enabling local agentic tasks, while the smaller Bolt E4B arrives later this month.
- Developers can access the models on Hugging Face under the OpenMDW 1.1 license, which permits commercial use and modification for organizations deploying customizable AI agents locally.
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Alice Collaborates with Inflection AI and AI21 to Demonstrate NVIDIA Nemotron Open Models Can ...
NEW YORK, Oct. 15, 2026 (GLOBE NEWSWIRE) -- Alice announced the results of two collaborations focused on aligning NVIDIA Nemotron models to company-specific safety and security policies. The results demonstrate how real-world threat data can be used to train open-source…
Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models
5x faster, accurate and customizable Nemotron 3.5 Super VL expands NVIDIA’s open models for always-on agents, with Nemotron 3.5 Bolt bringing agentic intelligence to local NVIDIA systems. NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents. Joining it are […]
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