barcoded

Exactly, this is because of the coupling with DAGShub as remote. Full disclosure - I'm associated with iterative (DVC creators) - we have nothing to do with DAGShub I'm afraid. They don't consult or collaborate with us at all (to this date) about how to build or optimize their server or workflows for their "hub"

Looks like in those benchmarks Oxen.AI makes a misguided assumption that benchmarking DVC is (roughly...?) the same as benchmarking DVC<>DAGShub (server side made by a different company). To my understanding DAGShub is a bottleneck there. They didn't care to benchmark DVC against an S3 bucket or a similar cloud storage that is more widely used. I wonder if it's because DAGShub makes this whole setup wayyy slower

This looks pretty cool! I'm gonna keep my eyes on this for more deployment options. The world needs a (good) open-source swiss-army-knife for ML serving

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