[greenpizza13]

Would you care to provide sources?

It's NVIDIA, not nVIDIA. I don't think AMD outperforms NVIDIA chips at price per watt. You need to defend this claim.

[FuriouslyAdrift]

By NVIDIA's own numbers and widely available testing numbers for FP8, the AMD MI355X just edges out the NVIDIA B300 (both the top performers) at 10.1 PFLOPs per chip at around 1400 W per chip. Neither of these thngs are available as a discrete device... you're going to be buying a system, but typically AMD Instinct systems run about 15% less than the comparable NVIDIA ones.

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-...

[SamFold]

There’s a difference between raw numbers on paper and actual real world differences when training frontier models.

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.

[random_ind_dude]

>It's NVIDIA, not nVIDIA

Take a look at their logo. It starts with a lowercase n.