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NVIDIA 470 Series To Be The Last Supporting GTX 600/700 Series Kepler

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  • rogerx
    replied
    Possible this article needs an update?

    It's official, Nvidia will end GeForce GTX 600/700 series support in October
    By Paul Lilly 14 June 2021
    https://www.pcgamer.com/its-official...rt-in-october/

    --- snip ---
    "Curiously, Nvidia later removed the entry, reverting back to listing driver support as "ongoing" for Kepler. This led us to wonder if Nvidia had backtracked, given the current landscape—it's next to impossible to buy a new GPU right now, unless you're willing to pay reseller pricing.

    Now we know Nvidia did not change its mind. Instead, the final Game Ready driver for Kepler (R470 GA5) will arrive on August 31, 2021. The first Game Ready driver that doesn't support Kepler (R495 GA1) will be pushed out a few days later, on October 4."
    --- snip ---

    Regardless, I'm lucky my motherboard and Intel CPU offers internal CPU graphics.

    Just need to know when the next release, of either the Linux kernel or Xorg, will break the proprietary nVidia driver.

    However, with the lack of GPU availability, maybe these dates will be internally pushed further back to early 2022 and/or we should plan on a lot of low-level software becoming incompatible and/or breaking due to unmaintained proprietary drivers.

    Leave a comment:


  • andre30correia
    replied
    at least more 2/3 years of support and the distro put patchs for new kernels if needed, there no real new features for old hardware like this

    Leave a comment:


  • Naib
    replied
    Originally posted by eydee View Post

    Nvidia keeps legacy drivers supported as far as security and kernel support goes. It's about feature updates. The cards keep working the same way they do today. They just won't get anything new. in the feature set.
    Stop reading what you want to read and read what was actually posted..

    Yes it is normal to retire hardware support BUT todo so when there is a chronic shortage is a bad idea.
    Looks like Nvidia agrees with me
    "Nvidia outlines plan to end 600/700 series GPU support, but may have backtracked | PC Gamer" https://www.pcgamer.com/amp/nvidia-o...e-backtracked/

    Leave a comment:


  • waxhead
    replied
    I am a nVidia GTX 660 user and I purchased my graphics card back in 2014. So far I have not had any issues with it , works great and performance is still more than enough for me (I don't play games much, only thedarkmod from time to time and a couple of retro stuff).

    The most important thing for me was support for 3x monitors and CUDA support in Blender is a big bonus. I am on "stock" Debian (testing) with whatever nVidia drivers that are in the debian repo so I will manage to run it for a couple of more years without issues I guess, but I wish I could use nouveau. Last time I tested noveau it was a rather sad experience with corruptions and crashes all over the place, but I *really* wish I could use it.

    Leave a comment:


  • AdamOne
    replied
    As a 770 user this affects me.
    But the timing is interesting as I have been eyeing a new GPU, prolly a Rtx 2060, that should become more available as stocks are replenished.

    Leave a comment:


  • phoronix_is_awesome
    replied
    Originally posted by GT220 View Post
    https://www.nvidia.com/en-us/data-ce...ducts/a30-gpu/

    There's no reason to buy P100(Compute Capability 6.0) 16GB HBM2 memory at all when A30(Compute Capability 8.0) has 24GB of HBM2 memory, 200GB more memory bandwidth, higher FP64 performance(A30 5.2 TFLOPS vs P100 4.7 TFLOPS) and Ampere is much better at compute performance than Pascal will ever be.
    How much is A30? Exactly. Nvidia doesn't even have a price for it. P100 SXM2 used to be pretty low price although SXM2 board/Servers are still expensive. P100 PCI-e 16GB could be had for $1000. A30 is only 10.3TF FP32(5.1TF double precision), so it is only faster than P100 when you use TF32 format or use tensorcores.
    Last edited by phoronix_is_awesome; 24 May 2021, 03:07 AM.

    Leave a comment:


  • GT220
    replied
    https://www.nvidia.com/en-us/data-ce...ducts/a30-gpu/

    There's no reason to buy P100(Compute Capability 6.0) 16GB HBM2 memory at all when A30(Compute Capability 8.0) has 24GB of HBM2 memory, 200GB more memory bandwidth, higher FP64 performance(A30 5.2 TFLOPS vs P100 4.7 TFLOPS) and Ampere is much better at compute performance than Pascal will ever be.

    Leave a comment:


  • phoronix_is_awesome
    replied
    It is actually pretty sad news. The only Kepler card people should remember is the Tesla K80, the dual GK210 GPU that launched the Machne Learning craze. Even if the 470 LTS branch will be supported till 2024, newer CUDA versions requiring 470+ will be unusable, which means, in 6 months or so, when Tensorflow starting to require a cuda version that requires 470+ drivers, newest Tensorflow will be unusable by the K80.

    K80 is now dead, which means if you need Double Precision or Tensorflow 2.6+, P100 is the lowest one you need to buy now and P100/V100 isn't cheap. Oops. Nvidia literally raised entry machine learning cost by about 400%+(k80->P100) for people needing ECC GPUs, and Kaggle probably will be pissed by it because they have a ton of K80s.
    Last edited by phoronix_is_awesome; 23 May 2021, 11:44 AM.

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  • Danny3
    replied
    Glad I'm not a closed source drivers user.
    Congrats to AMD and Intel !

    Leave a comment:


  • dragorth
    replied
    I didn't know about this, I think I love you now. Thanks.

    Leave a comment:

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