
H2O.ai Driverless AI Latest (BYOL)
H2O.ai | 1.9.1Linux/Unix, Ubuntu ubuntu - 64-bit Amazon Machine Image (AMI)
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This product doesn't work on AWS
I'd suggest a different cloud service, as I was not able to run the Driverless AI on AWS. Additionally, reach out to H2o.ai and ask for a range of cpu instances that will work for your particular region.
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Some really great features, maturity might be less than expected
What do you like best?
UI is nice, UX allows for turnkey process, but let's you tweak every hyperparameter you can imagine. Training paradigm in underlying algorithm is cutting edge.
What do you dislike?
Deployment works very well, but scaling is a bit more of an effort. Appear to be built on top of their open source libraries, which is good AND bad (see below).
What problems are you solving with the product? What benefits have you realized?
Because Driverless AI uses a lot of open source components, support cases that span the two teams don't get resolved as quickly as you would like. They appear to bound to release planning and are reticent to release hot fixes for things that were advertised to just work.
Recommendations to others considering the product:
Be sure to exercise the deployment parts of the product at the scale you expect to be at.
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