TensorFlow 2.19 with GPU Support on Apple Silicon M3

Hey Dev.to community! 👋

I've just published a step-by-step guide on setting up TensorFlow 2.19 with GPU acceleration on Apple Silicon M3 Macs.

If you've ever faced the frustration of environment setup for ML frameworks on the newer Apple chips, this guide walks through the entire process from environment creation to verifying GPU operations are actually running on the Metal backend.

What's covered:

1. Setting up Miniforge
2. Creating the right Python environment
3. Installing TensorFlow with Metal support
4. Verifying GPU detection and acceleration
5. Testing with real operations

The approach is straightforward and tested on macOS Sonoma with M3 chips.
Check out the full guide on LinkedIn

I'd love to hear your experiences with ML frameworks on Apple Silicon. Have you encountered different issues? Found better approaches? Let me know in the comments!