<div id="readability-page-1"><div><div><p>Earlier this week, <strong>Nvidia Corporation's</strong> (NASDAQ: NVDA) <strong>Bryan Catanzaro</strong> said many people are hesitant to adopt artificial intelligence because they do not trust or understand it, arguing that the company's open-source <strong>Nemotron</strong> platform is designed to change that.</p><h2><strong>AI Needs Trust To Succeed</strong></h2><p>Catanzaro, Nvidia's vice president of applied deep learning research, stressed that the lack of trust is holding back AI adoption worldwide.</p><p>&#34;AI touches the beating heart of every business that deploys it. But AI needs to be trusted. In order to trust it, you have to understand it,&#34; Catanzaro said.</p><p>He noted that despite the rapid rise of generative AI tools, a lot of people around the world haven't started using AI yet because they do not feel it solves their problems in a transparent, accessible way.</p><h2><strong>Why Nvidia Built Nemotron</strong></h2><p>Catanzaro said those concerns motivated Nvidia to build Nemotron, a collection of open-source models, datasets and techniques.</p><p>&#34;We're trying to make the most open approach to AI development that the world has ever seen,&#34; he said.</p><p>According to Nvidia, Nemotron provides developers, researchers and enterprises with pretrained models, post-training tools and datasets available on platforms such as <strong>GitHub </strong>and <strong>Hugging Face</strong>.</p><p>By opening its foundation models and training data, the company said it aims to give businesses confidence to adapt the technology to their own needs.</p><p>&#34;Nemotron is not just a model,&#34; Catanzaro added. &#34;It's all of our AI technology that helps us build the GPUs and systems for the future.&#34;</p><h2><strong>General Vs Specialized Intelligence</strong></h2><p>Catanzaro also drew a distinction between generalized and specialized intelligence. He said general intelligence serves as the &#34;raw material&#34; but must be customized to solve real-world business problems.</p><p>&#34;Our goal with Nemotron is to raise the bar for general intelligence, but provide that intelligence in a way that allows businesses around the world to specialize it for their own problems,&#34; he explained.</p><h2><strong>Industry Applications And Outlook</strong></h2><p>Nvidia said companies such as <strong>ServiceNow Inc. </strong>(NYSE: NOW) and <strong>CrowdStrike Holdings</strong> (NASDAQ: CRWD) have already used Nemotron for workflow automation and cybersecurity.</p><p>Catanzaro argued that open-source transparency will encourage adoption across industries like healthcare, retail and manufacturing.</p><h2><strong>Nvidia's Financial Momentum</strong></h2><p>Nvidia's push for open AI comes amid record growth. In August, the company reported second-quarter revenue of $46.74 billion, up 56% year-over-year and ahead of Wall Street's $46.02 billion consensus, according to Benzinga Pro.</p><p>For the third quarter, Nvidia guided revenue between $52.92 billion and $55.08 billion, versus estimates of $52.96 billion. The outlook does not include shipments of its H20 chips to China, which remain restricted.</p><h2><strong>Huang Praises China's Open-Source AI Efforts</strong></h2><p>Previously, Nvidia CEO <strong>Jensen Huang </strong>highlighted the global value of open-source AI during a July visit to China.</p><p>Speaking at the China International Supply Chain Expo, Huang called open source &#34;extremely powerful,&#34; crediting China's ecosystem with producing &#34;the best open reasoning models in the world today,&#34; citing <strong>Alibaba Group's </strong>(NYSE: BABA)<strong> Qwen</strong>, <strong>DeepSeek</strong> and <strong>Moonshot's Kimi</strong>.</p><p><strong>Benzinga's Edge Stock Rankings</strong> indicate that NVDA continues to trend upward across short, medium and long-term horizons, with additional performance details available here.</p><ul> <li><strong>Google’s Generative AI Pioneer Warns Against Going To Law And Medical School Because Of AI. ‘Focus On Just Living In The World’</strong></li> </ul><p><em><strong>Disclaimer:</strong> This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors.</em></p><p><em>Image via Shutterstock</em></p></div></div></div>

NVDA

<p>Nvidia's Bryan Catanzaro highlighted that trust issues hinder AI adoption, advocating for the open-source Nemotron platform to address these concerns. He emphasized the need for transparency in AI, stating that many people are hesitant to use it due to a lack of understanding. Nemotron aims to provide developers with accessible models and datasets, fostering confidence in AI technology. Companies like ServiceNow and CrowdStrike are already utilizing Nemotron for various applications. Nvidia reported significant revenue growth, projecting continued success in the AI sector.</p>

- Nvidia's Bryan Catanzaro emphasized that trust and understanding are crucial for AI adoption, which is currently hindered by skepticism.  
- In response, Nvidia developed the open-source Nemotron platform to provide accessible models and datasets, aiming to empower businesses to customize AI for their specific needs.  
- The initiative aligns with Nvidia's record growth, reporting a 56% revenue increase, and highlights the potential for open-source AI to enhance various industries, including healthcare and cybersecurity.  

Nvidia Exec Says AI Adoption Lags Because People Don't Trust It, Pushes Open-Source Nemotron As Solution