Summary:
- Google is developing its own AI chips to compete with Nvidia's popular graphics processing units (GPUs) used for AI and machine learning tasks.
- The new chips, called Tensor Processing Units (TPUs), are designed to be more efficient and powerful for running AI models and algorithms compared to traditional CPUs and GPUs.
- By developing its own AI hardware, Google aims to have more control over the performance and capabilities of its AI systems, which are crucial for its various products and services that rely on machine learning.