Review: Google Cloud Vertex AI irons out ML platform wrinkles
When I reviewed the Google Cloud AI and Machine Learning Platform last November, I noted a few gaps despite Google having one of the largest machine learning stacks in the industry, and mentioned that too many of the services offered were still in beta test. I went on to say that nobody ever gets fired for choosing Google AI.This May, Google shook up its AI/ML platform by introducing Vertex AI, which it says unifies and streamlines its AI and ML offerings. Specifically, Vertex AI is supposed to simplify the process of building and deploying machine learning models at scale and require fewer lines of code to train a model than other systems. The addition of Vertex AI doesn’t change the Google Cloud AI building blocks, such as the Vision API and the Cloud Natural Language API, or the AI Infrastructure offerings, such as Cloud GPUs and TPUs.To read this article in full, please click here
When I reviewed the Google Cloud AI and Machine Learning Platform last November, I noted a few gaps despite Google having one of the largest machine learning stacks in the industry, and mentioned that too many of the services offered were still in beta test. I went on to say that nobody ever gets fired for choosing Google AI.
This May, Google shook up its AI/ML platform by introducing Vertex AI, which it says unifies and streamlines its AI and ML offerings. Specifically, Vertex AI is supposed to simplify the process of building and deploying machine learning models at scale and require fewer lines of code to train a model than other systems. The addition of Vertex AI doesn’t change the Google Cloud AI building blocks, such as the Vision API and the Cloud Natural Language API, or the AI Infrastructure offerings, such as Cloud GPUs and TPUs.
