Nvidia's AI Opportunity Extends Beyond Training

Nvidia has been at the forefront of artificial intelligence (AI) development, providing the computing power needed to train AI models. However, this is only the beginning. The company's opportunity extends beyond training and into the realm of inference, where AI agents process complex tasks on behalf of users.

Inference workloads can be enormous, with companies generating billions of tasks as they deploy AI agents in their operations. This trend is likely to accelerate with the growing use of AI agents, which will require increasingly powerful computing infrastructure to support their functions.

Nvidia is actively positioning itself for this growth by developing hardware and software specifically designed to handle inference workloads. The company's Vera Rubin architecture combines GPUs with CPUs to provide a robust platform for AI deployment.