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RTX3090 TensorFlow, NAMD and HPCG Performance on Linux

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Re: RTX3090 TensorFlow, NAMD and HPCG Performance on Linux

#3
post #2

Guess that is maximum many of us can afford. Hence features that are missing from A100 is a bit moot. But the update we are wait. Still based on what we saw 3090 really does not worth the money. Still 24gb is 24gb.

Google Colab seems like a nice deal if you can't afford it.

Re: RTX3090 TensorFlow, NAMD and HPCG Performance on Linux

#4
post #2

Guess that is maximum many of us can afford. Hence features that are missing from A100 is a bit moot. But the update we are wait. Still based on what we saw 3090 really does not worth the money. Still 24gb is 24gb.

Google Colab seems like a nice deal if you can't afford it.

What does google get for providing this service for free?

Re: RTX3090 TensorFlow, NAMD and HPCG Performance on Linux

#10
When I first read the review, I couldn't understand why the author was mentioning that FP16 will surely be improved by new drivers despite not understanding that FP16 TFlops are exactly the same as FP32, tensor cores were nerfed and FP32 accumulate set to 0.5x speed, instead of Titan RTX's 1x. I'd say the results are as good as it gets, if you want a better performance, wait for Ampere Titan or Quadro.
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