CSET’s Jacob Feldgoise shared his expert analysis in an article published by CNN. The article discusses the differences between Google’s custom Tensor chips and Nvidia’s GPUs, and how these distinctions shape the AI hardware landscape.
While GPUs and Google’s chips can both be used for training and running AI models, ASICs are usually designed for ‘narrower workloads’ than GPUs are designed for.CSET Senior Data Research Analyst, Jacob Feldgoise
Feldgoise explained, “While GPUs and Google’s chips can both be used for training and running AI models, ASICs are usually designed for ‘narrower workloads’ than GPUs are designed for.”
To read the full article, visit CNN.