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

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…
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