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View submission: Evolving Reddit’s ML Model Deployment and Serving Architecture
Thanks for the great writeup.
When features are fetched in FeatureFrame format - there needs to be a conversion from that format to Tensor specific format too. Right? Can that conversion be a bottleneck for high throughput applications?
There's nothing here!