Submitted by rajatarya t3_znfgap in MachineLearning
hughperman t1_j0h1m8t wrote
I'd have big concerns around the areas of data protection laws, governance and storage. No on-prem/self-managed use cases? Data regions & localization? Anyone outside US region will be doing cross-region transfers, which have GDPR and other considerations.
I'd hoped this was "Lake FS, but with actual diffing". It sounds conceptually very cool, but as far as I can tell, the implementation is not ready for any serious data storage that relates to people.
rajatarya OP t1_j0h397b wrote
Thank you for sharing your concerns. We offer on-prem/private-cloud as a deployment option, specifically to help address some of these concerns. Meaning, we can deploy a single-tenant deployment of XetHub into your cloud environment (VPC) today. That should help with anyone geographically located in one place that isn't near our current deployment.
For teams that are globally distributed we offer cache clusters to allow for scale out and improved throughput, while minimizing costs.
I would love to hear more about your concerns - we are just getting started so lots more to come in the coming months!
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