3 ms·

Can you expand on that? As far as I'm aware that's not true (anymore). It runs quite fine on AWS which uses older NVIDIA cards and I know several people use it

• narrator 11y ago
  https://www.tensorflow.org/versions/r0.7/get_started/os_setup.html#optional-install-cuda-gpus-on-linux https://www.tensorflow.org/versions/r0.7/get_started/os_setu... I guess the cards listed there are not an all inclusive list?
  • vrv 11y ago
    Yeah, those are just cards we know that work: we don't have all possible GPUs to test our 20+ changes a day on, so we can't formally guarantee it will work on older cards, but in general we try our best to keep it all working for older and even newer cards.
    • nightski 11y ago
      Maybe a "reported to work but not guaranteed" section is in order.
      • vrv 11y ago
        Keeping that up-to-date and useful is as hard as keeping benchmarks in Deep Learning up to date ;)
  • jimfleming 11y ago
    From that page: > Supported cards include but are not limited to[...]
  • barneso 11y ago
    In my experience, the architecture supports cards with shader model >= 3.0. Occasionally a commit will break the support (eg https://bitbucket.org/eigen/eigen/commits/a19653b8035d8ace53af184b02acb1ee9ab417c6 https://bitbucket.org/eigen/eigen/commits/a19653b8035d8ace53... was required earlier this year) but this is a function of the speed of development and usually straightforward to fix.