Nvidia Competitors Shift Focus to Building Alternative Chips for AI Products
Nvidia has been a leader in the AI chip market, with its GPUs being excellent for building powerful AI systems. However, these GPUs are not as efficient when it comes to using AI products in everyday tasks. This gap has opened the door for competitors to develop AI inference chips. These chips are designed to handle the daily operations of AI tools more efficiently and can help reduce the high computing costs associated with generative AI. As AI models become more widespread, the demand for inference chips is increasing. Startups and established chipmakers like AMD and Intel are now offering chips that focus more on inference, targeting a broader range of applications beyond just training.