How to Speed Up Transformer Training Using NVIDIA Apex (FusedAdam, FusedLayerNorm) and Native torch.amp

- MarkTechPost claims NVIDIA Apex is the secret sauce for faster Transformers. It’s not. It’s legacy code holding onto relevance by a thread. The article benchmarks FusedAdam and FusedLayerNorm, proving they squeeze out throughput gains over vanilla PyTorch AdamW and LayerNorm. Sure, if you’re training on a budget or optimizing for every millisecond, fused kernels matter. But let’s be real: apex.amp is deprecated. Use native torch.amp. Apex is just the old reliable wrench in a toolbox full of laser cutters. Build it from source, check your CUDA extensions, and stop expecting magic. If you can’t handle a git clone and a pip install, you don’t deserve high-throughput inference anyway. Speed is earned, not given.