Milos Svana
pytorchgpusoftware engineeringai engineering
This belongs next to any local inference or training work because cross-platform ML is usually where clean notebooks meet real machines.
The useful lesson is not only PyTorch-specific. Runtime packaging, hardware backends, and dependency friction are product risks when your users are expected to run models outside your exact environment.