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> Google hopes to “standardize machine learning on a single framework and API,” namely TensorFlow, then supplement it “with a service that can [manage] it all f
by sheetjs 9y ago
> Google hopes to “standardize machine learning on a single framework and API,” namely TensorFlow, then supplement it “with a service that can [manage] it all for you more efficiently and with less operational overhead,” namely Google Cloud.
"vendor on-ramps" is the corporate equivalent of the open-source/pro split commonly seen in non-corporate projects like sidekiq: A bunch of features are available in the open source domain with liberal licensing, and beyond that there are additional paid enhancements. Nothing new or surprising here
- mooreds 9y agoWhat's different is that the corporate offerings used to be extra features or monitoring or support--things that were sometimes nice, sometimes must haves. Now the corporate offering is the ability to run the code in a way that makes it useful. Setting up tensorflow is easy (at least, when I looked at the docs it seemed to be), but running tensorflow so you get useful answers out of it in a performant manner--that requires knowledge and data that can't be encoded in code. So the corporate offering that is tied to open source goes from being a nice to have (or perhaps a requirement) to a hard requirement.
- deleted 9y ago[deleted]