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Answer: TensorFlow Enterprise
TensorFlow Enterprise is the correct choice as it is a specialized distribution of TensorFlow designed for enterprise customers, offering premium support from Google, optimization for Google Cloud services, and features like automatic provisioning and scaling. AI Platform, while a managed service, does not provide the required level of support. Kubeflow and TFX, being open-source, offer only standard community support, making them unsuitable for this scenario. For more details, refer to the TensorFlow Enterprise Overview.
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As a Machine Learning Engineer at an international company leveraging Google Cloud for developing, training, and deploying multiple TensorFlow-based ML models, your team is looking for a solution that not only optimizes the ML workflow but also provides direct engineer-to-engineer support from both Google Cloud and Google's TensorFlow teams. The solution should offer premium support, be optimized for Google Cloud services, and support automatic provisioning and scaling across different processors. Given these requirements, which service best meets your needs? (Choose one correct option)
A
Kubeflow
B
TensorFlow Enterprise
C
AI Platform
D
TFX