Watched it and I think it's pretty clear that the drivers play a large part in how the API talks back to the GPU and the GPU then utilises how much VRAM etc. Also I do recall in the past that driver updates fixed various things in terms of VRAM use.
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Allocation doesn't = usage.
That's interesting. Never knew about that.Ampere uses tensor cores to compress and decompress vram data by up to 40%. So 8Gb vram can store up to 11.2Gb of data. I saw YouTube videos years ago comparing Ampere with Turing and the Ampere cards used less VRAM with the same resolution and settings. So yes, AMD does need more VRAM to do the same thing. Nvidia likely improved the technology further with Ada but I haven't read anything on the matter.
Nvidia is also working on a lossless image compression technology. Here's the link
Random-Access Neural Compression of Material Textures
Ampere uses tensor cores to compress and decompress vram data by up to 40%. So 8Gb vram can store up to 11.2Gb of data. I saw YouTube videos years ago comparing Ampere with Turing and the Ampere cards used less VRAM with the same resolution and settings. So yes, AMD does need more VRAM to do the same thing. Nvidia likely improved the technology further with Ada but I haven't read anything on the matter.
Nvidia is also working on a lossless image compression technology. Here's the link
Random-Access Neural Compression of Material Textures
Ampere uses tensor cores to compress and decompress vram data by up to 40%. So 8Gb vram can store up to 11.2Gb of data. I saw YouTube videos years ago comparing Ampere with Turing and the Ampere cards used less VRAM with the same resolution and settings. So yes, AMD does need more VRAM to do the same thing. Nvidia likely improved the technology further with Ada but I haven't read anything on the matter.
Nvidia is also working on a lossless image compression technology. Here's the link
Random-Access Neural Compression of Material Textures
Traversal coprocessor: We have had more leaks on NVIDIA's next-gen GeForce RTX 3000 series than any family of graphics cards before it, with an interesting "traversal coprocessor" on the new GeForce RTX 3080 and GeForce RTX 3090 graphics cards. You can read more on that here.
NVCache: Ampere is meant to have something called NVCache, which would be NVIDIA's own form of AMD's HBCC (High Bandwidth Cache Controller, more on that here). NVCache would use your system RAM and SSD to super-speed game load times, as well as optimizing VRAM usage. You can read more on NVCache here.
Tensor Memory Compression: NVCache is interesting, but Tensor Memory Compression will be on Ampere, and will reportedly use Tensor Cores to both compress and decompress items that are stored in VRAM. This could see a 20-40% reduction in VRAM usage, or more VRAM usage with higher textures in next-gen games and Tensor Memory Compression decreasing that VRAM footprint by 20-40%.
How fast is the GeForce RTX 3090? Freaking fast according to rumors, with 60-90% more performance than the current Turing-based flagship GeForce RTX 2080 Ti. We could see this huge performance leap in ray tracing titles, but we'll have to wait a little while longer to see how much graphical power NVIDIA crams into these new cards. You can read more on those rumors here.
Power hungry: As for power consumption, GA102 reportedly uses 230W -- while 24GB of GDDR6X (which we should see on the new Ampere-based TITAN RTX) consumes 60W of power. You can read more on that here.
Production begins soon: NVIDIA is reportedly in the DVT (or Design Validation Test) range of its new GeForce RTX 3000 series graphics cards. Mass production reportedly kicks off in August 2020, with a media event, benchmarks, and more in September 2020 as I predicted many months ago. More on that here.
Turns out tensor cores are used for even more than we originally thought then!
New to me that too though! (the tensor core thing and vram). Is there a link for that as it would be a good read/watch.
Read more: https://www.tweaktown.com/news/7439...0-series-card-could-have-24gb-vram/index.htmlTensor Memory Compression: NVCache is interesting, but Tensor Memory Compression will be on Ampere, and will reportedly use Tensor Cores to both compress and decompress items that are stored in VRAM. This could see a 20-40% reduction in VRAM usage, or more VRAM usage with higher textures in next-gen games and Tensor Memory Compression decreasing that VRAM footprint by 20-40%.
Can you link to whitepaper regarding that. All I saw was a rumour before Ampere was actually released but nothing after that.
I probably read the same rumour that you did because it was about 5 years ago. Here's the Turing Whitepaper. Page 21 discusses Turing Memory Compression. However, it's just bandwidth compression and not VRAM compression. There's no mention of VRAM compression so maybe it's a red herring and the rumours got the two confused. I guess the Youtube comparison video I saw with Turing using less VRAM than Pascal could have been showing VRAM allocation and not usage.
IDK, but NV's had years of skimping out on the vram so they must have learned how to pack suitcases better.
True, but NV are running faster Vram, and faster it needs when sometimes it starts a long conversation with it's friend System Ram.TBF,AMD really should work on it too. Needing bigger memory controllers and more VRAM does cost them more money. Plus for their APUs and consoles it would definitely help!
But TBH,if you have looked at how much VRAM increases have stagnated since 2016 from both companies(compared to 2008~2016),definitely there is optimisation work being done.
We should be on high end cards with over 100GB of VRAM by now if the 2009 to 2016 percentage increase had kept pace(1.28GB to 12GB). The RTX4090 is 3X to 4X faster than a Titan Xp but only doubles VRAM capacity.
The issue is that we are stuck with 8GB cards selling upto £400 still. Even consoles can allocate more VRAM now.
True, but NV are running faster Vram, and faster it needs when sometimes it starts a long conversation with it's friend System Ram.
Some will think I am joking, but I don't joke when it comes to ice cream and tea
I'm fresh out of Fab