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Version Released Discontinued Active Support Security Support
Mobile Professional Ampere (GA10x) 6 months ago
(12 Apr 2021)
In Production Yes Yes
Mobile Consumer Ampere (GA10x) 9 months ago
(12 Jan 2021)
In Production Yes Yes
Professional Ampere (GA10x) 1 year ago
(05 Oct 2020)
In Production Yes Yes
Consumer Ampere (GA10x) 1 year and 1 month ago
(01 Sep 2020)
In Production Yes Yes
Mobile Professional Turing (TU1xX) 2 years and 4 months ago
(27 May 2019)
In Production Yes Yes
Mobile Consumer Turing (TU1xX) 2 years and 8 months ago
(29 Jan 2019)
In Production Yes Yes
Consumer Turing (TU1xX) 3 years ago
(20 Sep 2018)
In Production Yes Yes
Professional Turing (TU1xX) 3 years ago
(13 Aug 2018)
In Production Yes Yes
Professional Volta (GV100) 3 years and 10 months ago
(07 Dec 2017)
Discontinued Yes Yes
Mobile Professional Pascal (GP10x) 4 years and 8 months ago
(06 Feb 2017)
Discontinued Yes Yes
Mobile Consumer Pascal (GP10x) 5 years ago
(15 Aug 2016)
Discontinued Yes Yes
Consumer Pascal (GP10x) 5 years ago
(27 May 2016)
Discontinued Yes Yes
Professional Pascal (GP10x) 5 years ago
(05 Apr 2016)
Discontinued Yes Yes
Mobile Professional Maxwell (GMxxx) 6 years ago
(18 Aug 2015)
Discontinued Yes Yes
Professional Maxwell (GMxxx) 6 years ago
(29 Jun 2015)
Discontinued Yes Yes
Mobile Consumer Maxwell (GMxxx) 7 years ago
(07 Oct 2014)
Discontinued Yes Yes
Consumer Maxwell (GMxxx) 7 years ago
(19 Sep 2014)
Discontinued Yes Yes
Professional Kepler (GKxxx) 8 years ago
(01 Mar 2013)
Discontinued Ended 4 weeks ago
(20 Sep 2021)
Ends in 2 years and 8 months
(01 Jul 2024)
Mobile Consumer Kepler (GKxxx) 9 years ago
(22 Mar 2012)
Discontinued Ended 2 years and 7 months ago
(11 Mar 2019)
Ended 2 years and 6 months ago
(11 Apr 2019)
Mobile Professional Kepler (GKxxx) 9 years ago
(22 Mar 2012)
Discontinued Ended 2 years and 5 months ago
(23 Apr 2019)
Ends in 4 months and 2 weeks
(01 Mar 2022)
Consumer Kepler (GKxxx) 9 years ago
(22 Mar 2012)
Discontinued Ended 4 weeks ago
(20 Sep 2021)
Ends in 2 years and 8 months
(01 Jul 2024)
Professional Fermi (GF1xx)** 11 years ago
(23 Jul 2010)
Discontinued Ended 3 years ago
(31 Jul 2018)
Ends in 1 year and 2 months
(31 Dec 2022)
Consumer Fermi (GF1xx)* 11 years ago
(26 Mar 2010)
Discontinued Ended 3 years and 7 months ago
(10 Mar 2018)
Ended 3 years and 7 months ago
(10 Mar 2018)

Nvidia designs GPUs for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. This page tracks Nvidia GPUs, which provide support for their various GPU lineups and are available for Windows, Linux, Solaris, and FreeBSD.

Naming scheme

  • Professional cards include cards under their NVS, Quadro, Quadro RTX, GRID, and Tesla lineups.
  • Consumer cards include their GeForce and Titan lineups.

Common misconceptions

There are multiple GPUs with the same name but part of a different architecture (therefore different support status length), and there are also other cases to be careful of:

Desktop:

  • GT730: Has a GF108 (Fermi) and a GK208 (Kepler) varient.
  • GT625: Has a GF108 (Fermi) and a GK107/GK208 (Kepler) varient.
  • GT640: Has a GF116 (Fermi) and a GK107/GK208 (Kepler) varient.
  • GT645/620 is a Fermi card, even though all other 600 series are Kepler variants (with the exception of the above)
  • GT705 has a GF119 (Fermi) and a GK208 (Kepler) varient.
  • GTX745, GTX750 and GTX750 Ti are Maxwell, even though all other 700 series are Kepler variants (with the exception of the above)
  • All-in-one desktops are known to feature Mobile GPUs, which would make them fall under a different (and often shorter) support cycle.

Laptop:

  • GT810M/GT820M are Fermi cards.
  • GT825M/GT870M/GT880M are Kepler cards.
  • GT920M is a Kepler card.
  • Most cards in the 800M series have multiple variant with varying architectures (A card in this series can be Fermi, Kepler or Maxwell).

Identifying your GPU

Due to this confusing naming scheme, one should not look at just the model name when seeing their support status, but instead their architecture.

Windows

  1. Download and run GPU-Z.
  2. First identify if you have a consumer or a professional card. See the “Naming scheme” section above.
  3. Next identify the card architecture. This will be the GPU textbox. You can cross reference this with the support table at the top of this page.

Linux

  1. Install the lshw package from your distribution’s repositories.
  2. Run the command sudo lshw -C display, your GPU code is the product column.
  3. Next identify the card architecture. This will be the GPU textbox. You can cross reference this with the support table at the top of this page.

This GPU Code follows a similar pattern for most cards, for example we have GA102:

  • G: This means generation
  • A: This means it belongs to the Ampere generation.

Most GPU codes follow this same pattern, with the exceptions of TUxxx which means Turing architecture.

Driver Support Exceptions

  • Consumer GF1xx (“Fermi”) GPUs are supported on Linux via the R390 legacy driver series till the end of 2022.
  • Not all Professional Fermi (GF1xx) GPUs are still supported on Windows, see the official GPU support list for specific models. On Linux there support is for all Fermi GPUs.

More information is available on the NVIDIA GPUs website.


You can submit an improvement to this page by visiting GitHub. You will need to fork the website and submit a Pull Request. A JSON version of this page is available at /api/nvidia-gpu.json. See the API Documentation for more.