What are actual Tesla M60 models used by AWS?





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Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.



I use an EC2 instance (g3s.xlarge) which is supposed to have a Tesla M60. But nvidia-smi command says it has 8GB ram and max power limit 150W:



> sudo nvidia-smi
Tue Mar 12 00:13:10 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 Tesla M60 On | 00000000:00:1E.0 Off | 0 |
| N/A 43C P0 37W / 150W | 7373MiB / 7618MiB | 0% Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 6779 C python 7362MiB |
+-----------------------------------------------------------------------------+


What does it mean? Do I get a 'half' of the card? Is the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?










share|improve this question































    13















    Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.



    I use an EC2 instance (g3s.xlarge) which is supposed to have a Tesla M60. But nvidia-smi command says it has 8GB ram and max power limit 150W:



    > sudo nvidia-smi
    Tue Mar 12 00:13:10 2019
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 |
    |-------------------------------+----------------------+----------------------+
    | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
    | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
    |===============================+======================+======================|
    | 0 Tesla M60 On | 00000000:00:1E.0 Off | 0 |
    | N/A 43C P0 37W / 150W | 7373MiB / 7618MiB | 0% Default |
    +-------------------------------+----------------------+----------------------+

    +-----------------------------------------------------------------------------+
    | Processes: GPU Memory |
    | GPU PID Type Process name Usage |
    |=============================================================================|
    | 0 6779 C python 7362MiB |
    +-----------------------------------------------------------------------------+


    What does it mean? Do I get a 'half' of the card? Is the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?










    share|improve this question



























      13












      13








      13








      Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.



      I use an EC2 instance (g3s.xlarge) which is supposed to have a Tesla M60. But nvidia-smi command says it has 8GB ram and max power limit 150W:



      > sudo nvidia-smi
      Tue Mar 12 00:13:10 2019
      +-----------------------------------------------------------------------------+
      | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 |
      |-------------------------------+----------------------+----------------------+
      | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
      | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
      |===============================+======================+======================|
      | 0 Tesla M60 On | 00000000:00:1E.0 Off | 0 |
      | N/A 43C P0 37W / 150W | 7373MiB / 7618MiB | 0% Default |
      +-------------------------------+----------------------+----------------------+

      +-----------------------------------------------------------------------------+
      | Processes: GPU Memory |
      | GPU PID Type Process name Usage |
      |=============================================================================|
      | 0 6779 C python 7362MiB |
      +-----------------------------------------------------------------------------+


      What does it mean? Do I get a 'half' of the card? Is the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?










      share|improve this question
















      Wikipedia says that the Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300 W.



      I use an EC2 instance (g3s.xlarge) which is supposed to have a Tesla M60. But nvidia-smi command says it has 8GB ram and max power limit 150W:



      > sudo nvidia-smi
      Tue Mar 12 00:13:10 2019
      +-----------------------------------------------------------------------------+
      | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 |
      |-------------------------------+----------------------+----------------------+
      | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
      | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
      |===============================+======================+======================|
      | 0 Tesla M60 On | 00000000:00:1E.0 Off | 0 |
      | N/A 43C P0 37W / 150W | 7373MiB / 7618MiB | 0% Default |
      +-------------------------------+----------------------+----------------------+

      +-----------------------------------------------------------------------------+
      | Processes: GPU Memory |
      | GPU PID Type Process name Usage |
      |=============================================================================|
      | 0 6779 C python 7362MiB |
      +-----------------------------------------------------------------------------+


      What does it mean? Do I get a 'half' of the card? Is the Tesla M60 actually two cards stuck together as the ram specification (2x8) suggests?







      amazon-web-services graphics-processing-unit nvidia






      share|improve this question















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      edited Mar 12 at 13:10







      hans

















      asked Mar 12 at 0:26









      hanshans

      16718




      16718






















          1 Answer
          1






          active

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          19














          Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.






          share|improve this answer


























          • BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

            – hans
            Mar 12 at 15:46











          • @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

            – Michael Hampton
            Mar 12 at 15:47






          • 1





            @MichaelHampton How can it both be small and xlarge at the same time?

            – kasperd
            Mar 24 at 7:49






          • 1





            @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

            – Michael Hampton
            Mar 24 at 15:12












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          1 Answer
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          active

          oldest

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          1 Answer
          1






          active

          oldest

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          active

          oldest

          votes






          active

          oldest

          votes









          19














          Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.






          share|improve this answer


























          • BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

            – hans
            Mar 12 at 15:46











          • @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

            – Michael Hampton
            Mar 12 at 15:47






          • 1





            @MichaelHampton How can it both be small and xlarge at the same time?

            – kasperd
            Mar 24 at 7:49






          • 1





            @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

            – Michael Hampton
            Mar 24 at 15:12
















          19














          Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.






          share|improve this answer


























          • BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

            – hans
            Mar 12 at 15:46











          • @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

            – Michael Hampton
            Mar 12 at 15:47






          • 1





            @MichaelHampton How can it both be small and xlarge at the same time?

            – kasperd
            Mar 24 at 7:49






          • 1





            @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

            – Michael Hampton
            Mar 24 at 15:12














          19












          19








          19







          Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.






          share|improve this answer















          Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.







          share|improve this answer














          share|improve this answer



          share|improve this answer








          edited Mar 12 at 15:37









          Robin Whittleton

          1033




          1033










          answered Mar 12 at 0:44









          Michael HamptonMichael Hampton

          175k27320649




          175k27320649













          • BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

            – hans
            Mar 12 at 15:46











          • @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

            – Michael Hampton
            Mar 12 at 15:47






          • 1





            @MichaelHampton How can it both be small and xlarge at the same time?

            – kasperd
            Mar 24 at 7:49






          • 1





            @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

            – Michael Hampton
            Mar 24 at 15:12



















          • BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

            – hans
            Mar 12 at 15:46











          • @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

            – Michael Hampton
            Mar 12 at 15:47






          • 1





            @MichaelHampton How can it both be small and xlarge at the same time?

            – kasperd
            Mar 24 at 7:49






          • 1





            @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

            – Michael Hampton
            Mar 24 at 15:12

















          BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

          – hans
          Mar 12 at 15:46





          BTW, what does 's' stand for in 'g3s'? Other 'g3' machines don't have it.

          – hans
          Mar 12 at 15:46













          @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

          – Michael Hampton
          Mar 12 at 15:47





          @hans Probably something like "small". That instance type has far less CPU and RAM than the other instance types.

          – Michael Hampton
          Mar 12 at 15:47




          1




          1





          @MichaelHampton How can it both be small and xlarge at the same time?

          – kasperd
          Mar 24 at 7:49





          @MichaelHampton How can it both be small and xlarge at the same time?

          – kasperd
          Mar 24 at 7:49




          1




          1





          @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

          – Michael Hampton
          Mar 24 at 15:12





          @kasperd You'll have to ask Amazon. I don't understand their naming conventions either.

          – Michael Hampton
          Mar 24 at 15:12


















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