Jensen Huang highlighted the significance of generative AI (GenAI) as a pivotal technology, shifting computing from CPUs to accelerated computing. Every company is becoming an intelligence manufacturer with domain-specific intelligence digitized into corporate AI.
The lifecycle of AI is perpetual. By turning corporate intelligence into digital intelligence and integrating it with data, companies can enhance services, productivity, efficiency, and scalability, fostering a continuous cycle of data collection, insight generation, and intelligence improvement.
David Hughes emphasized the dual perspective of AI in enterprise networks: AI for networking and networking for AI. Understanding these differences is vital for harnessing the benefits of GenAI in the realm of CPUs and GPUs for optimized performance in enterprise environments.
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