In a brief news post made to their GeForce website last night, NVIDIA has announced that they have delayed the launch of the upcoming GeForce RTX 3070 video card. The high-end video card, which was set to launch on October 15th for $499, has been pushed back by two weeks. It will now be launching on October 29th.

Indirectly referencing the launch-day availability concerns for the RTX 3080 and RTX 3090 last month, NVIDIA is citing a desire to have “more cards available on launch day” for the delay. NVIDIA does not disclose their launch supply numbers, so it’s not clear just how many more cards another two weeks’ worth of stockpiling will net them – it likely still won’t be enough to meet all demand – but it should at least improve the odds.

NVIDIA GeForce Specification Comparison
  RTX 3070 RTX 3080 RTX 3090 RTX 2070
CUDA Cores 5888 8704 10496 2304
ROPs 96 96 112 64
Boost Clock 1.725GHz 1.71GHz 1.7GHz 1.62GHz
Memory Clock 14Gbps GDDR6 19Gbps GDDR6X 19.5Gbps GDDR6X 14Gbps GDDR6
Memory Bus Width 256-bit 320-bit 384-bit 256-bit
Single Precision Perf. 20.4 TFLOPs 29.8 TFLOPs 35.7 TFLOPs 7.5 TFLOPs
Tensor Perf. (FP16) 81.3 TFLOPs 119 TFLOPs 143 TFLOPs 59.8 TFLOPs
Tensor Perf. (FP16-Sparse) 163 TFLOPs 238 TFLOPs 285 TFLOPs 59.8 TFLOPs
TDP 220W 320W 350W 175W
GPU GA104 GA102 GA102 TU106
Transistor Count 17.4B 28B 28B 10.8B
Architecture Ampere Ampere Ampere Turing
Manufacturing Process Samsung 8nm Samsung 8nm Samsung 8nm TSMC 12nm "FFN"
Launch Date 10/15/2020
09/17/2020 09/24/2020 10/17/2018
Launch Price MSRP: $499 MSRP: $699 MSRP: $1499 MSRP: $499
Founders $599

Interestingly, this delay also means that the RTX 3070 will now launch after AMD’s planned Radeon product briefing, which is scheduled for October 28th. NVIDIA has already shown their hand with respect to specifications and pricing, so the 3070’s price and performance are presumably locked in. But this does give NVIDIA one last chance to react – or at least, distract – should they need it.

Source: NVIDIA

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  • schujj07 - Saturday, October 3, 2020 - link

    You are correct my mistake on the same die.
  • Spunjji - Monday, October 5, 2020 - link

    "Especially when it sounds like AMD won't have anything compelling"
    Only if you're not paying attention.
  • TheinsanegamerN - Monday, October 5, 2020 - link

    Or if you are paying attention, and watching their pathetic attempts at drumming up hype with the "we wont have a paper launch but we probably wont have stock either" tweets.

    Short of AMD leaking out performance benchmarks they have little in the pipeline to be excited for.
  • Spunjji - Monday, October 5, 2020 - link

    I'm not fussed about stock at launch, so I couldn't give a rat's ass about any tweets in that regard.

    Nvidia really, *really* pushed their chips hard - to the point where they burned all their PPW savings. Why would they do that if they knew they had no competition?
    Nvidia also quite clearly rushed to launch - same question as above.
    All we really know about the AMD GPUs is the likely CU config (enough to beat a 3080 at the high-end), the 50% PPW gain claim, and rumblings about tweaks to the memory interface. AMD aren't repeating the clamour of the Vega launch and, tbh, I see that as a positive sign.

    I guess we'll see soon enough.
  • Qasar - Monday, October 5, 2020 - link

    youtube for redgamingtech, mooreslawisdead and coretec. seems rdna2 has a huge cache, 128megs of it.
  • Spunjji - Tuesday, October 6, 2020 - link

    I'm working off that information - I don't know how reliable those sources are yet, though, so I'm filing it all under "rumour" until I see them proven right at least once with an AMD GPU launch.
  • Qasar - Tuesday, October 6, 2020 - link

    the seem to be ok, redgamingtech was talking about the cache a few days ago, and said his " sources " are calling it infinity cache, and well seems they put a trademark on it : but yea, im looking at these leaks the same way, waiting till the 28th to see how much of it pans out.
  • ss96 - Friday, October 2, 2020 - link

    I don't quite understand how nvidia managed to 2.5x the number of CUDA cores, 1.5x more ROPS, increse the number of Tensor cores? (based on throughput) and still use less transistors (I am comparing the GA104 vs TU106).
    Some VERY big optimization?
  • MrVibrato - Friday, October 2, 2020 - link

    You are mistaken. GA104: 17.4 bln transistors. TU106: 10.8 bln transistors
  • Dolda2000 - Friday, October 2, 2020 - link

    Actually, Wikipedia and other sources quote TU106 as having 10.8 Mxtors, not 18.6. Did AnandTech misquote the transistor count?

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