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Re:AMD's MI300X Outperforms Nvidia's H100 for LLM Inference by dragontamer on Friday June 14, 2024 @11:44AM (#40681879)
Its weird that you're choosing a nerf'd part and sticking with it as a comparison point.

The article is MI300X, which is beating NVidia's H100.

> Do you have benchmarks for when AMD doesn't nerf Blender performance?

Go read the article above.

> Notably, our results show that MI300X running MK1 Flywheel outperforms H100 running vLLM for every batch size, with an increase in performance ranging from 1.22x to 2.94x.

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> Why does AMD nerf RDNA3 when they're so far behind Nvidia and Apple in Blender performance?

Nerf is a weird word.

AMD has focused on 32-bit FLOPs and 64-bit FLOPs until now. AMD never put much effort into raytracing. They reach acceptable levels on XBox / PS5 but NVidia always was pushing Raytracing (not AMD).

Similarly: Blender is a raytracer that uses those Raytracing cores. So any chip with substantial on-chip ray-tracing / ray-matching / ray-intersection routines will perform faster.

Blender isn't what people do with GPUs. The #1 thing they do is video games like Baldur's gate 3.

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It'd be like me asking why Apple's M3 can't run Baldur's gate 3. Its not a "nerf", its a purposeful engineering decision.

Re:AMD's MI300X Outperforms Nvidia's H100 for LLM Inference by aurareturn on Saturday June 15, 2024 @09:34AM (#40689709)
I was responding to the person above me, who used the word "nerf" to describe RDNA and Blender.