Tag: local inference

This is worth keeping because local and Windows-side inference are no longer edge cases for product teams. Hardware choices now shape who can prototype, test, and deploy models without waiting for a cloud GPU lane.

The guide is beginner-friendly, so it is not the deepest systems reference. Its value is showing where AMD's PyTorch story is becoming practical enough to track.

This is a strong local-inference link because it shows the gap between framework support and hardware-specific performance work. Apple Silicon can be serious, but the path often goes through kernels, not just model.to("mps").

The AI-generated-kernel angle is interesting, but the bigger point is operational: when the backend is the bottleneck, model.to("mps") is only the start.