Nvidia Expands Nemotron 3.5 Open Model Series with Super VL and Bolt Additions
Yahoo Finance ·
Nvidia has unveiled three new additions to its Nemotron open model lineup, headlined by the 120 billion-parameter Nemotron 3.5 Super VL. Designed for multimodal agentic workflows, the Super VL model achieves accuracy comparable to larger reasoning models using only about one-fifth of the parameters, while boasting a speed five times faster than similar open alternatives. Alongside the Super VL, Nvidia introduced two edge-focused variants: the Nemotron 3.5 Bolt 74B-A9B 24GB and the Bolt E4B 4GB. The Super VL and Bolt 74B-A9B 24GB are available immediately, whereas the Bolt E4B 4GB is slated for an October 23 release. Trained on approximately 26 trillion tokens, the new models support enterprise customization across various Nvidia hardware ecosystems, including RTX, DGX Spark, and Jetson platforms.
AI 시장 분석
Nvidia has announced the Nemotron 3.5 open model family, featuring the 120-billion parameter Nemotron 3.5 Super VL and two Bolt models for edge deployment. Trained on 26 trillion tokens, these new models deliver 5x faster speeds and improved efficiency compared to similar models, which is expected to accelerate the adoption of AI agents in enterprise infrastructure and edge devices.
상승 영향
- AI — Nvidia unveils the 120-billion parameter Nemotron 3.5 Super VL and Bolt models, boosting enterprise AI agent efficiency and processing speed by 5x to accelerate ecosystem growth.
- Semiconductors — New edge and server AI models are optimized to run on Nvidia hardware like RTX and DGX, directly increasing demand for high-performance GPUs and edge device semiconductors.
DYAX 전담 분석
Nvidia's unveiling of the Nemotron 3.5 model family has a direct causal relationship in strengthening its infrastructure ecosystem by driving demand for its own hardware (such as RTX and DGX). Through multimodal processing capabilities and 5x faster speeds, it reduces AI adoption costs for enterprise customers and enhances practicality.
The bullish scenario is that the rapid enterprise adoption of these new open models directly translates to increased sales of Nvidia's GPUs and hardware, while the bearish scenario is the concern of potential profitability slowdown due to intensifying open-source competition. Key monitoring metrics are download counts via Hugging Face and Nvidia NIM, along with the proliferation rate of enterprise fine-tuning cases.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
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