Benchmarking TensorFlow on Nvidia GeForce RTX 3090
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Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#2Seems like a good speedup relative to the Titan, especially for the money. I’d be interested to see the performance relative to the 3080 though. There are obviously vram limitations with the 3080 but it would still be interesting to see the difference in raw compute performance.
In games the 3090 only gives a 15% performance bump relative to the 3080. If that pattern holds for machine learning tasks there is probably a scenario where it makes sense to buy two 3080s rather than one 3090.
If you are vram constrained then obviously the 3090 the way to go.
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#3That second table is aa good example of why always including units (or even just a "higher is better") is a good idea... I have no clue what I'm looking at.
Edit: It's been edited, thx Evolution :) (or I totally glossed over it the first time around... but I don't think so)
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#4That second table is aa good example of why always including units (or even just a "higher is better") is a good idea... I have no clue what I'm looking at. Edit: It's been edited, thx Evolution :) (or I totally glossed over it the first time around... but I don't think so)
"Training performance in images processed per second"?
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#5That second table is aa good example of why always including units (or even just a "higher is better") is a good idea... I have no clue what I'm looking at. Edit: It's been edited, thx Evolution :) (or I totally glossed over it the first time around... but I don't think so)
Do you mean this table which has a caption over it that reads "Training performance in images processed per second" ?? Looks pretty self-explanatory.
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#6That second table is aa good example of why always including units (or even just a "higher is better") is a good idea... I have no clue what I'm looking at. Edit: It's been edited, thx Evolution :) (or I totally glossed over it the first time around... but I don't think so)
Perhaps it has been edited. Now the table contains the following title "Training performance in images processed per second".
A "Higher is better" might still be interesting although redundant.
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#7Seems like a good speedup relative to the Titan, especially for the money. I’d be interested to see the performance relative to the 3080 though. There are obviously vram limitations with the 3080 but it would still be interesting to see the difference in raw compute performance. In games the 3090 only gives a 15% performance bump relative to the 3080. If that pattern holds for machine learning tasks there is probably…
A 3080 with 20gb is planned already
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#8Honestly I had an RTX Titan for home use for a while. Eventually I moved to just using a 2080 Super and it performed at nearly the same power for my models. If you don't need ALL the extra memory and have the space for a triple slot then the better value proposition by far for last gen seemed to be a good super.
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#9Seems like a good speedup relative to the Titan, especially for the money. I’d be interested to see the performance relative to the 3080 though. There are obviously vram limitations with the 3080 but it would still be interesting to see the difference in raw compute performance. In games the 3090 only gives a 15% performance bump relative to the 3080. If that pattern holds for machine learning tasks there is probably…
A 3080 with 20gb is planned already
Very likely not with the same price as 3080. I am guessing it won't be much cheaper than 3090 as vram is expensive.
Re: Benchmarking TensorFlow on Nvidia GeForce RTX 3090
#10I just want to know how they installed the new nvidia cuda drivers without borking their Ubuntu/tf install.