AMDs chips outperform nVidia's (Instinct is the GPU compute line at AMD) and at a lower per watt and per dollar range.
AMD literally can't make enough chips to satisfy demand because nVidia buys up all the fab capacity at TSMC.
AMD literally can't make enough chips to satisfy demand because nVidia buys up all the fab capacity at TSMC.
It's NVIDIA, not nVIDIA. I don't think AMD outperforms NVIDIA chips at price per watt. You need to defend this claim.
NIVIDIA is a very pricey date.
https://wccftech.com/mlperf-v5-1-ai-inference-benchmark-show...
https://semianalysis.com/2024/04/10/nvidia-blackwell-perf-tc...
https://semianalysis.com/2025/06/13/amd-advancing-ai-mi350x-...
There’s a reason no frontier lab using AMD models for training, because the raw benchmarks for performance for a single chip for a single operation type don’t translate to performance during an actual full training run.
Also, anyone doing very large models tend to prefer AMDs because they have 288GB per chip and outperform for very large models.
Outside of these use cases, it’s a toss up.
AMD is also much more aligned with the supercomputing (HPC) world were they are dominant (AMD cpus and GPUs power around 140 of the top 500 HPC systems and 8 of the top 10 most energy efficient)
Take a look at their logo. It starts with a lowercase n.