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What are actual Tesla M60 models used by AWS?
What are some projects I can build on Amazon AWS to build my skills?Which AWS features are EBS backed?What are the pros and cons of AWS Elastic Beanstalk compared with other deployment strategies?What are the supported TLDs for AWS Certificate Manager?How accurately are aws clocks synchronized between different aws regions?Can AWS IAM be used on any non-ec2 instances?AWS Fargate: What does “duration” mean?What are ingress security groups in AWS / TerraformAWS ALB resolves to 2 IPs. What are they?AWS GuardDuty: Why are we getting, probably false, PortProbeUnprotectedPort findings
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
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hans is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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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.
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.
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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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 1 hour ago
Michael Hampton♦Michael Hampton
171k27314640
add a comment |
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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 1 hour 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 1 hour 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 1 hour 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 1 hour ago
Michael Hampton♦Michael Hampton
171k27314640
answered 1 hour ago
Michael Hampton♦Michael Hampton
171k27314640
answered 1 hour ago
Michael Hampton♦Michael Hampton
171k27314640
answered 1 hour ago
Michael Hampton♦Michael Hampton
171k27314640
171k27314640
add a comment |
add a comment |
hans is a new contributor. Be nice, and check out our Code of Conduct.
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