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May 31, 2021 - Why ML Capabilities of GCP is way ahead of AWS & Azure

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Last Updated At:
November 22, 2023
Why ML Capabilities of GCP is way ahead of AWS & Azure

Abishek Chiffon, Data Scientist at Ideas2IT, outlined Machine learning and AI services that put GCP ahead of AWS and Azure.

  • Offers AI Hub, a repository of models in a format that can be deployed in Kubeflow, Deep Learning VMs in GPU or TPU.
  • AI Platform Classic tool helps create ML training jobs with TensorFlow, Keras, PyTorch, Scikit-learn, and XGBoost and allows training at scale with user containers and custom frameworks.
  • Google has TensorFlow to build and launch self-contained Deep Learning models.
  • Its AI Platform Notebooks are VM instances that come pre-integrated with TensorFlow and PyTorch instances, Deep Learning packages, and Jupyter notebook.
  • Deep Learning VM images come pre-installed with all software, deep learning, and ML frameworks on a Google Compute Engine instance.

Read the full article here.