AMD Radeon PRO W6800X Duo $5000 Graphics Card Is 14% Faster Than NVIDIA RTX A6000 In Octane Render Benchmark

1 : Anonymous2021/09/16 15:26 ID: ppfh17
AMD Radeon PRO W6800X Duo $5000 Graphics Card Is 14% Faster Than NVIDIA RTX A6000 In Octane Render Benchmark
2 : Anonymous2021/09/16 15:51 ID: hd3brew

In other words: The PRO W6800X needs two GPUs to compete with nvidias one in many benchmarks.

This card actually loses to the PRO VEGA II in some of the benchmarks and that card came out in mid 2019.

Cause one is built with a 4096bit HBM2 interface, and the other has a tiny 256bit GDDR6 interface. 825GB/s vs 512GB/s.

And mind you, that the Navi21 die has slightly less than DOUBLE the transistors compared to the Vega20 die.

ID: hd3tztb

Same price point, better performance.

ID: hd53x6i

Most of the AIB RTX 3090s with 400 watt or higher should beat the Radeon PRO W6800X Duo in that trench benchmark listed in the article. I tested two different AIB 3090s today and both completed the trench benchmark in 12 seconds with both the default "Render Target PT" configuration and the other configuration mentioned on the octane forum thread.

Now I wonder what an A6000with a higher power limit could do in the benchmark since its limited to 300 watts and the Radeon PRO W6800X Duo has a 400 watt power limit.

ID: hd51bly

As far as I’m concerned at evaluating a product.

I basically don’t care about price since that’s just reflective of what customers are willing to pay. Inferior products need to be priced cheaper.

Most important are performance and power consumption. (Perf/watt) Second is the amount of silicon and cost of manufacturing. (Perf/area)

Perf and perf/watt determines what price AMD can sell it at. Perf/area give insight to engineering expertise and the sustainability of their execution.

3 : Anonymous2021/09/16 15:51 ID: hd3brla

So sad that Cuda is still the deep Learning boss. I want to go red for my AI startup, but I need Cuda.

ID: hd3dam0

Cuda can be converted by ROCm iirc

ID: hd3khtx

Tried that years ago. Looks much more mature now and I can give it a shot with my vega

ID: hd504nn

HIP still doesn't work on RDNA so that makes it impossible for beginners to learn it. If beginners don't learn it they can't take those skills into the workplace and call for its adoption there which means CUDA contines to reign supreme.

When it comes to this stuff AMD knows how to shoot themselves in just the right part of the foot to blow their whole leg off.

ID: hd4xw19

Same in GPU-based 3D rendering. I’d love to get an AMD card but Open-CL implantation is terrible in most software nowadays. Blender is even dropping Open-CL completely once 3.0 comes out.

ID: hd50bdk

Blender is even dropping Open-CL completely once 3.0 comes out.

So what are they going to replace it with, compute shaders? Or are they just going to fuck over all non-Nvidia GPU owners?

4 : Anonymous2021/09/16 19:35 ID: hd491fi

What's the (actual) power consumption difference when running these kinds of loads? The TDPs appear to be 400W for the Radeon and 300W for the Quadro.

5 : Anonymous2021/09/16 21:02 ID: hd4lrlb

Here's hoping AMD can finally demolish Nvidia in CUDA and create a new industry standard.

I absolutely hate using team green for workloads and have been dying to go team red for ages. I hate supporting Novideo.

ID: hd4y8v5

AMD can’t use CUDA, and Open-CL is nearly dead. They really need to develop a new GPU-Compute solution or switch to something that isn’t almost completely deprecated.

ID: hd50p1f

On Windows there's DirectCompute. If only MS would make DirectX cross platform.

AMD created Vulkan so I have no doubt they could also originate something like that for heterogeneous compute as well. And now with the Xilinx acquisition they could make an API that cleanly supports heterogeneous computing on GPUs, co-processors, ASICs and FPGAs. Or if not AMD then Intel could make this too since they make all of those kind of hardware too.

6 : Anonymous2021/09/16 20:07 ID: hd4dq3v

Why do they charge more for them, when there isn't really anything Pro about them?

ID: hd51beb

To create the illusion that they're actually competing with Nvidia in the workstation GPU space.

ID: hd4gamv

Support, software/ features and memory

7 : Anonymous2021/09/16 22:24 ID: hd4x0ci

My EVGA RTX 3090 did the trench benchmark in 12 seconds when I ran it in the configuration given for everyone to use in the trench benchmark thread on the OTOY(octane) forums.

ID: hd4zto4

When I did the default "Render Target PT" I also had 12 seconds as my result.

ID: hd54hdp

[deleted]

ID: hd55tw5

The 3090 is used as a point of comparison in the article, and compute die wise is the same as an A6000 with higher power limits. For rendering it's in the same performance category as the A6000/w6800x since it's not driver gimped in rendering software like octane and output quality is the same. Ampere gaming gpus in general ironically scale much better for production tasks than games.

引用元:https://www.reddit.com/r/Amd/comments/ppfh17/amd_radeon_pro_w6800x_duo_5000_graphics_card_is/

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