To push a model into production, there are additional concerns which the tools in the versioning, deployment and release space aim to solve. This includes obtaining adequate infrastructure to run the model reliably and facilitating easy model release or rollback. Solutions in the MLOps space includes Kubeflow, Pachyderm and Algorithmia. - Source: dev.to / over 2 years ago

And for enterprises that want to do the same with ML you can use algorithmia.com. Source: over 2 years ago

Algorithmia advertises themselves as an MLops platform for data scientists, and they provide an easy way to host models on a scalable REST API. Source: over 2 years ago

Seems similar to https://algorithmia.com. Source: over 2 years ago

Algorithmia.com — Host algorithms for free. Includes free monthly allowance for running algorithms. Now with CLI support. - Source: dev.to / almost 3 years ago

Open AI's work is based off of Google's research paper. Google believes in open source! https://opensource.google/ Google will save us. Google will make their AI open source. Their motto is "Don't be evil"! ... But I'm still waiting for their source code of YouTube, Gmail, drive, maps, docs, sheets, forms, search, ads, translate, sites, etc. Source: over 1 year ago

It's not on google github/their open source git host(for comparison, the canonical go repo is), their readme makes no mention of google, wikipedia says "The language is expected to have a 1.0 release in 2024 or 2025.[4]",. Source: over 1 year ago

Google would have to open source the controller firmware for people to find a way to make Bluetooth work, but there are no discontinued Google products on opensource.google at all. Source: over 1 year ago

Https://opensource.google/ is not listing any dead Google products my dude. Source: over 1 year ago

And side note, don't bring up both MS and Google when both are well known to make use of FOSS. Google has an entire page about how they both make use of and release OSS. Source: about 2 years ago