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Re:Tensorflow 2.0.0-Alpha0 by dragontamer on Wednesday March 06, 2019 @04:00PM (#19322728)
The results I've seen show the $1200 GPU playing at 1080p resolution with less than 60FPS.

RTX is clearly a compute-hog: its barely usable even if you pay for the best-of-the-best GPUs. I mean, not to knock Nvidia down or anything, raytracing is one of the most computationally difficult problems in existence right now.

But from a practical and pragmatic perspective, you suffer a major loss in frame-rates and force the GPU to drop in resolution to make the jump to raytracing. Even if you spent $1200 on the card...

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I'm personally excited to see offline renderers use the RTX features to accelerate offline raytracing. That's probably the more important use of the technology. As it is, RTX isn't quite fast enough for "real time" yet. Just grossly accelerated offline raytracing (which is still impressive)

Re:Tensorflow 2.0.0-Alpha0 by izacus on Wednesday March 06, 2019 @05:29PM (#19323581)
According to PC Gamer and Digital Foundry, the 2080Ti can drive Metro Exodus with RTX on at average 55fps with drops down to 30fps at 4K resolution so your claim seems grossly exaggerated - https://cdn.mos.cms.futurecdn.net/YhDHpgGrAmpmnP4LUBEgvg.png

Also last I read, RTX really isn't designed for offline raytracing and doesn't really bring much to the table. Its use is in realtime.

Re:Tensorflow 2.0.0-Alpha0 by dragontamer on Wednesday March 06, 2019 @06:47PM (#19324186)
https://www.hardocp.com/article/2019/01/07/battlefield_v_nvi...

Battlefield V Ultra 1080p RTX on is ~63 FPS average (not minimum FPS, but average), which means it will regularly dip below 60 in practice.

> Also last I read, RTX really isn't designed for offline raytracing and doesn't really bring much to the table. Its use is in realtime.

On the contrary! RTX Cores are a hardware-accelerated BVH-traversal. That has HUGE implications for the offline rendering scene.

See NVidia Optix for details: https://devblogs.nvidia.com/nvidia-optix-ray-tracing-powered...

IMO, this is the killer-feature of RTX. Accelerating those Hollywood Renders from hours-per-frame to minutes-per-frame. NVidia Optix takes industry-standard scene trees and can use the RTX Cores to traverse them for hardware-accelerated raytracing.

Or more specifically: coarse AABB Bounds checking, which is a very compute & memory heavy portion of the Raytracing algorithm.

Even if RTX is too slow for video games, any improvement to offline rendering is a huge advantage.

Re:Tensorflow 2.0.0-Alpha0 by ykombinaught on Tuesday March 12, 2019 @11:06AM (#19368827)
Optix was developed a decade ago and doesn’t require RTX cards. It run on any Maxwell or newer card. It’s NVIDIA’s version of RadeonRays.

What NVIDIA is trying to sell people is a denoiser.

And are you sure RT Cores even exist or are they just tensorcores by a different name?

https://youtu.be/3BOUAkJxJac

Re:Tensorflow 2.0.0-Alpha0 by dkersten on Thursday March 07, 2019 @12:07PM (#19329749)
In the RTX announcement speech, they repeatedly mentioned the savings for offline rendering (taking fewer computers less time and fewer watts to render the same quality). I came away from watching that thinking that the card was primarily positioned for offline rendering.