NVDA

<p>In the future, internet traffic will significantly decrease, and computing will rely more on real-time generation. Huang Renxun emphasizes that generative AI is growing exponentially, and enterprises need to quickly adapt and utilize this technology. Open-source and closed-source AI models will coexist, and enterprises need to leverage their respective strengths to promote the development and application of AI technology. The development of AI needs to consider energy efficiency and sustainability, reduce energy consumption, and achieve more environmentally friendly intelligent solutions</p>

Key points: 1. Jensen Huang emphasizes the exponential growth of generative AI and urges enterprises to quickly adapt and utilize this technology to avoid falling behind. 2. Huang believes that open-source and closed-source AI models will coexist, and enterprises should leverage their respective advantages to drive the development and application of AI technology. 3. Huang highlights the importance of energy efficiency and sustainability in AI development, advocating for optimizing computing resources and enhancing AI models' inference and generation capabilities to reduce energy consumption for more environmentally friendly solutions. 4. With the accumulation of data and advancements in intelligent technologies, customer service will become a key area for enterprises to achieve intelligent transformation.
At the 2024 Databricks Data + AI Summit, Jensen Huang and Ali Ghodsi discussed the importance and trends of AI and data processing technologies in modern enterprises, emphasizing the critical roles of technological innovation, data processing capabilities, and energy efficiency in driving business transformation and industry development.
Huang envisions the future of data processing and generative AI, highlighting the untapped value in companies' business data and the challenges in extracting profound insights and intelligence from them. He also mentions how open-source models like Llama and DBRX are driving enterprise transformation into AI companies, activating a global AI movement, and fostering technological development and business innovation.
During the dialogue, Huang advises against venturing into GPU development and stresses the significance of enterprises' proprietary data in building customized AI models. The collaboration between NVIDIA and Databricks aims to leverage their strengths in accelerating computing and generative AI to deliver unprecedented benefits to users.

Huang Renxun's latest dialogue: Future internet traffic will decrease significantly, and there will be more real-time generation in computing