So far, these chips have been used primarily to train cutting-edge AI models, a process that can cost hundreds of millions dollars. After the AI is developed by companies like OpenAI, Google and Anthropic, warehouses full of Nvidia GPUs are required to serve those models to customers. That's why Nvidia projects its revenue to continue growing.
Another challenge for Nvidia is last month's emergence of Chinese startup DeepSeek, which released an efficient and "distilled" AI model. It had high enough performance that suggested billions of dollars of Nvidia GPUs aren't needed to train and use cutting-edge AI. That temporarily sunk Nvidia's stock, causing the company to lose almost $600 billion in market cap.