GPU vs TPU: Which to Choose?
Understand the differences between GPUs and TPUs to optimize AI training and deployment strategies.
GPUs (Graphics Processing Units) are versatile and widely used for training deep learning models, particularly CNNs and NLP applications.
TPUs (Tensor Processing Units) are specialized for tensor computations and large-scale matrix operations, offering faster performance for certain neural networks.
Choosing between GPUs and TPUs depends on model type, budget, and infrastructure requirements.
AI.TULASAMMA provides consulting to select the optimal hardware for your AI workflows.
References: Google Cloud TPU Documentation, NVIDIA GPU Architecture Reports 2025, Infrastructure Reports.