NVIDIA GeForce RTX 2080 Ti Review: No Seriously, Just Buy It (Page 10)

| Sep 19, 2018 at 8:00 am CDT
Rating: 100%Manufacturer: NVIDIA

NVIDIA Defines RTX-OPS

NVIDIA is so far ahead of AMD right now that it's in totally new territory with the Turing GPU architecture, so it has had to use its own "RTX-OPS" when trying to define performance of Tensor-related compute tasks. We won't be using RTX-OPS in our day-to-day benchmarks or RTX 20 series reviews, but it definitely deserves its own page to explain WTF is RTX-OPS.

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The way NVIDIA works out RTX-OPS, the company explains that the "peak operations of each type based is derated on how often it's used". NVIDIA cites:

  • Tensor operations are used 20% of the time
  • CUDA cores are used 80% of the time
  • RT cores are used 40% of the time (half of 80%)
  • INT32 pipes are used 28% of the time (35% of 80%)

For example, RTX-OPS = TENSOR * 20% + FP32 * 80% + RTOPS * 40% + INT32 * 28%.

Last updated: Nov 15, 2019 at 01:16 pm CST

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ABOUT THE AUTHOR -

Anthony is a long time PC enthusiast with a passion of hate for games built around consoles. FPS gaming since the pre-Quake days, where you were insulted if you used a mouse to aim, he has been addicted to gaming and hardware ever since. Working in IT retail for 10 years gave him great experience with custom-built PCs. His addiction to GPU tech is unwavering.

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