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NVIDIA A2 performance in Matlab R2023b is lousy

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We've got a new GPU: NVIDIA A2 (~1400€).
Its performance with Matlab R2023b is really bad.
Let's compare it with an old NVIDIA Geforce GTX 1050 Ti (~200€) by using gpuBench (double precision results, higher is better):
I wonder why it performs so bad. In all technical aspcets, the A2 is superior. Any idea?

Accepted Answer

Joss Knight
Joss Knight on 13 Oct 2023
Edited: Joss Knight on 13 Oct 2023
The A2's spec says its double precision performance is 140 GFLOPS vs the V100's 7 TFLOPS, so this is pretty much expected. Even its single precision performance is significantly worse. It also has a weak memory bandwidth.
I guess the lesson is that NVIDIA wants to give you a range of performance vs price trade-offs even with the latest architectures. I'm guessing the A2 is coming in at about 1/10th the price of the V100, or thereabouts?
I'll admit I'm less certain why it performs worse than the 1050. Obviously there are a lot of different factors involved, but you might want to contact NVIDIA. As a data center GPU it does have certain power and cooling requirements that could affect its performance if not done right.
  3 Comments
Joss Knight
Joss Knight on 20 Oct 2023
Very useful to know, thanks for responding.
Matthias Wurm
Matthias Wurm on 20 Oct 2023
It's also not a computer/mainboard/bios-problem: In the same computer our Nvidia V100 works perfect.

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