What are actual Tesla M60 models used by AWS?What are some projects I can build on Amazon AWS to build my...
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What are actual Tesla M60 models used by AWS?
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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
asked 1 hour ago
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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
asked 1 hour ago
hanshans
1062
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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
asked 1 hour ago
hanshans
1062
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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
asked 1 hour ago
hanshans
1062
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
hanshans
1062
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
hanshans
1062
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
hanshans
1062
asked 1 hour ago
hanshans
1062
1062
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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Check out our Code of Conduct.
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1 Answer
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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.
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
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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.
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
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.
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
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.
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
Yes, the Tesla M60 is two GPUs 'sticked' together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
answered 53 mins ago
Michael Hampton♦Michael Hampton
171k27314640
171k27314640
add a comment |
add a comment |
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