Summary: This guide compares the strengths and trade-offs of different AI accelerator types, explaining when flexibility beats efficiency and when custom silicon wins. It clarifies why GPUs dominate training, why TPUs excel in specific environments, and why ASICs are attractive at massive scale. The article is particularly useful for readers trying to understand why there isn’t a single “best” AI chip.
Source: https://howaiworks.ai/blog/tpu-gpu-asic-ai-hardware-market-2025