3 ms·
It was a few years ago since I last played with Googles hw, but iirc TPUs were inflexible and very fast. Worked well for linear and convolutional layers but cou
by bjourne 1y ago
It was a few years ago since I last played with Googles hw, but iirc TPUs were inflexible and very fast. Worked well for linear and convolutional layers but could not accelerate certain LSTM configurations. For such networks GPUs were faster. It wouldn't surprise me the least if TPU hardware support lagged behind what the latest and greatest LLMs require for training.