What are actual Tesla M60 models used by AWS?
Wikipedia says that Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300.
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 Tesla M60 actually two cards sticked together as the ram specification (2x8) suggest?
amazon-web-services graphics-processing-unit nvidia
New contributor
add a comment |
Wikipedia says that Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300.
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 Tesla M60 actually two cards sticked together as the ram specification (2x8) suggest?
amazon-web-services graphics-processing-unit nvidia
New contributor
add a comment |
Wikipedia says that Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300.
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 Tesla M60 actually two cards sticked together as the ram specification (2x8) suggest?
amazon-web-services graphics-processing-unit nvidia
New contributor
Wikipedia says that Tesla M60 has 2x8 GB RAM (whatever it means) and TDP 225–300.
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 Tesla M60 actually two cards sticked together as the ram specification (2x8) suggest?
amazon-web-services graphics-processing-unit nvidia
amazon-web-services graphics-processing-unit nvidia
New contributor
New contributor
New contributor
asked 4 hours ago
hanshans
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Yes, the Tesla M60 is two GPUs 'sticked' together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
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Yes, the Tesla M60 is two GPUs 'sticked' together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
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Yes, the Tesla M60 is two GPUs 'sticked' together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
add a comment |
Yes, the Tesla M60 is two GPUs 'sticked' together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
Yes, the Tesla M60 is two GPUs 'sticked' together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
answered 3 hours ago
Michael Hampton♦Michael Hampton
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171k27314641
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