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Nvidia's Nemotron 3.5 Super VL represents a significant shift in the open-weight landscape by prioritizing inference speed for agentic workflows, directly challenging China-based models that previously dominated this space. The model demonstrates that post-training on proprietary data allows enterprises to achieve specialized accuracy comparable to or exceeding closed-source leaders like Claude Opus 5 while maintaining full infrastructure control. This release underscores the growing viability of open models for high-volume enterprise tasks where latency and data sovereignty are critical constraints.
Source coveringZDNet
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

Nvidia’s new Nemotron 3.5 Super VL is another step forward for US open-weight AI

ZDNet3 min read

Three new Nvidia open models strive for efficiency and speed. Open models are having a renaissance on the heels of the Hugging Face hack. US labs are catching up in the open model race. China-based AI labs have had the upper hand on competitive open-weight AI models over the last few years, but a recent surge…

Excerpt shown under the publisher's RSS terms · 56 words · full text and figures are on the publisher's site

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