MI300X vs H100 vs H200 Benchmark Part 1: Training – CUDA Moat Still Alive

[XYang2023]

MI300X vs H100 vs H200 Benchmark Part 1: Training – CUDA Moat Still Alive

Intro SemiAnalysis has been on a five-month long quest to settle the reality of MI300X. In theory, the MI300X should be at a huge advantage over Nvidia’s H100 and H200 in terms of specifications an…

semianalysis.com

I think Intel has an opportunity to catch up with AMD in the AI accelerator space. Even though Falcon Shores might fall slightly short of expectations, if Intel ensures its software is developed properly, their overall solution should still be competitive.

 

[XYang2023]

x.com

x.com

AMD acknowledged its software weakness which has been that way for years.

Intel's approach:

Home - UXL Foundation

Learn about the Unified Acceleration Foundation (UXL), and join us in building an open, standards-based, cross-architecture approach for accelerated computing that improves performance, portability, and time-to-market.

uxlfoundation.org

 

[Jumper]

Is AMD catching up to Nvidia though or is Nvidia just running further away with their huge investments?

 

[siliconbruh999]

x.com

x.com

AMD acknowledged its software weakness which has been that way for years.

Intel's approach:

Home - UXL Foundation

Learn about the Unified Acceleration Foundation (UXL), and join us in building an open, standards-based, cross-architecture approach for accelerated computing that improves performance, portability, and time-to-market.

uxlfoundation.org

It is just oneAPI in the nane of UXL foundation

 

[Y.H]

I think cuda moat is still largely in training. Maybe inference offer a better angle of attack for competitors.