<div id="readability-page-1"><figure><img src="https://imageproxy.pbkrs.com/https://static.seekingalpha.com/cdn/s3/uploads/getty_images/1412721464/image_1412721464.jpg/query-aW89Z2V0dHktYy13NzUw?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="750" height="500" original-src="https://imageproxy.pbkrs.com/https://static.seekingalpha.com/cdn/s3/uploads/getty_images/1412721464/image_1412721464.jpg/query-aW89Z2V0dHktYy13NzUw"/><figcaption><p>BING-JHEN HONG</p></figcaption></figure> <p>Nowadays, almost two years after the release of ChatGPT that brought the Large Language Models (LLMs) to the global, widespread awareness, I believe nobody needs an introduction to the provider of the <strong>BEST HARDWARE</strong> for training artificial intelligence - NVIDIA (</p></div>

NVDA

<p>BING-JHEN HONG Nowadays, almost two years after the release of ChatGPT that brought the Large Language Models (LLMs) to the global, widespread awareness, I believe nobody needs an introduction to the provider of the BEST HARDWARE for training artificial intelligence - NVIDIA (</p>

- The article discusses the significant role of NVIDIA in providing hardware for training artificial intelligence, particularly in the context of the rise of Large Language Models (LLMs) like ChatGPT.  
- It highlights NVIDIA's impact on the AI landscape nearly two years after ChatGPT's release, emphasizing its position as a leading provider.  
- The author suggests that NVIDIA's contributions are crucial for the advancement of AI technologies.  

Buy Leaders - No Business Can Capitalize On AI Revolution More Than Nvidia