I’ve been a fervent user of TensorFlow since 2016 but we deduced to ditch TensorFlow at my company in favor of PyTorch because the community support and commitment from the PyTorch team is just way better

It’s absolutely worth it, I upgraded from a Core i9 with 12 cores and 32 GB to an M1 Max with 64GB and it was insane, almost 4 times faster, seeing that the new M2 Max beats the M1 Max by more than 20% would motivate me to pay the extra $1,000 bucks. These machines will last a while, my M1 Max is still too much machine more than a year later since I got it, and PyTorch has amazing performance on it.

For machine learning workloads the M2 Max will show a substancial difference so I’d recommend you go with the M2 Max

That but PyTorch has also matured a lot, we tried to switch in 2018 and deploy the new shining model to production but back then PyTorch had terrible performance, now that’s not the case, it had matured and I think will go farther on the shoulders of the community.

That but PyTorch has also matured a lot, we tried to switch in 2018 and deploy the new shining model to production but back then PyTorch had terrible performance, now that’s not the case, it had matured and I think will go farther on the shoulders of the community.

I’ve used TensorFlow since 2016 but I grew tired of it, it’s not really open source, it’s just Google sharing their tool, so I switched to PyTorch as they do iterate faster and care more about the community