Hmm. Cloud ML is "serverless" in a sense, but it's backed by VMs running CPUs or GPUs (up to you). Cloud ML is "hosted TensorFlow" and does a lot for you. The set of pre-trained model services (Cloud Vision, etc.) are quite a bit different.

For more info, see our new blogpost (discuss here: https://news.ycombinator.com/item?id=13697666).

Again, important disclosure: I work on Google Cloud.