Here are some leaked specs on the NVIDIA GeForce RTX 3090

NVIDIA's new GeForce RTX 3090 leaked specs: GA102-300 GPU, 24GB ultra-fast GDDR6X, 2nd-gen Ray Tracing Cores, 3rd-Gen Tensor Cores.

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Can you feel it? We're getting closer and closer... and now we have some leaked specifications on NVIDIA's new GeForce RTX 30 series graphics card.

First, let's dive right into where the most fun is: the flagship GeForce RTX 3090. NVIDIA's upcoming GeForce RTX 3090 will feature the Ampere-based GA102-300 GPU with 5348 CUDA cores and a huge 24GB of ultra-fast GDDR6X memory on a 384-bit memory bus.

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NVIDIA will have a huge 936GB/sec of memory bandwidth available on its GeForce RTX 3090, with custom AIB models requiring dual 8-pin PCIe power connectors, while NVIDIA's in-house GeForce RTX 3090 Founders Edition graphics card rocks that special new 12-pin PCIe power connector.

Some things to note here: VideoCardz is reporting that the "data that we saw clearly mention the 7nm fabrication node" which goes against previous reports that TSMC squeezed NVIDIA out of the 7nm node and that the first wave of Ampere GPUs were being made on Samsung 8nm.

More on this as it breaks.

We'll know everything on September 1 at the special GeForce event.

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NVIDIA did recently detail some of the engineering that has gone into previous-gen, and engineering that is going into the next-gen GeForce graphics cards. You can see the 45-degree angle placement of the 12-pin PCIe power connector in all its glory, too.

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For reference, this is the first photo we had of the 12-pin PCIe power connector.

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NVIDIA's new Ampere-based GeForce RTX 3080 is said to be around 15-25% better than the RTX 2080 Ti, which will be a big deal if the GeForce RTX 3080 is priced at $799. The slightly lower-end GeForce RTX 3070 will reportedly offer RTX 2080 Ti level performance for $599 -- which is going to really shake things up.

We should see NVIDIA's new GeForce RTX 3090 feature a huge 24GB of next-gen GDDR6X memory at 21Gbps, while the GeForce RTX 3080 will have 10GB of GDDR6X at 19Gbps.

Here's an easier break down for you:

  • GeForce RTX 3090: $1399
  • GeForce RTX 3080: $799
  • GeForce RTX 3070: $599
  • GeForce RTX 3060: $399
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The very latest: RTX 3090 PCB + GDDR6X @ 21Gbps

  • The PCB of the RTX 3090: A juicy leak of the purported PCB of a custom variant of the GeForce RTX 3090 leaked out a few days ago. It is reportedly the COLORFUL iGame GeForce RTX 3090 Vulcan-X. You can see this model has 3 x 8-pin PCIe power connectors, unlike the RTX 3090 Founders Edition that should pack just a single 12-pin PCIe power connector.
  • Micron reveals RTX 3090 name, 24GB GDDR6X memory @ 21Gbps: I'm sure this is part of the marketing or else all of us tech media websites would be receiving calls from lawyers, but Micron revealed its next-gen GDDR6X memory that the GeForce RTX 3090 (it admits the card by name) will be clocked at a bonkers-high 21Gbps.
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Wait, a 12-pin PCIe power connector?

More reading:

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  • 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%.
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  • 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.
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I've already written about rumors that NVIDIA's next-gen Ampere GPU architecture would be up to 75% faster than current-gen GPUs such as the Turing architecture, right after rumors that Ampere would offer 50% more performance at half the power of Turing. This is pretty crazy stuff right there.

Not only that, but we've got some rumored specs on the purported GeForce RTX 3080 and GeForce RTX 3070 graphics cards, which will both be powered by NVIDIA's new Ampere GPU architecture.

We've already heard that Ampere would offer 50% more performance at half the power of Turing, which sent the hairs on my neck standing up. Better yet, you can read about the leaked specs on the purported Ampere-based GeForce RTX 3080 and GeForce RTX 3070 right here.

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Even more reading:

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NEWS SOURCE:videocardz.com

Anthony joined the TweakTown team in 2010 and has since reviewed 100s of graphics cards. 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 and has recently taken a keen interest in artificial intelligence (AI) hardware.

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