An organization is building advanced machine learning models in Google Cloud by using TensorFlow. They want to develop their models faster with purpose-built hardware. Which solution should the organization use?
A. TPUs
TPUs (Tensor Processing Units) are purpose-built hardware specifically designed for accelerating machine learning workloads, particularly for TensorFlow. TPUs are optimized for high-performance computation required in training and inference tasks in deep learning, making them ideal for developing machine learning models faster.
Why not the other options?
B/C. CPUs:
While CPUs are general-purpose processors, they are not optimized for the heavy computation needs of machine learning tasks. Using CPUs may be slower compared to more specialized hardware like TPUs or GPUs for model development and training.
D. GPUs:
GPUs (Graphics Processing Units) are also widely used for machine learning due to their ability to perform parallel computations efficiently. While GPUs are suitable for many machine learning tasks, TPUs are specifically optimized for TensorFlow and may offer even better performance for certain workloads.
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joshnort
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