What are actual Tesla M60 models used by AWS?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty{ height:90px;width:728px;box-sizing:border-box;
}
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
add a comment |
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
add a comment |
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
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
amazon-web-services graphics-processing-unit nvidia
edited Mar 12 at 13:10
hans
asked Mar 12 at 0:26
hanshans
16718
16718
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
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
add a comment |
Your Answer
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "2"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fserverfault.com%2fquestions%2f957832%2fwhat-are-actual-tesla-m60-models-used-by-aws%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
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
add a comment |
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
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
add a comment |
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
Yes, the Tesla M60 is two GPUs stuck together, and each g3s.xlarge or g3.4xlarge instance gets one of the two GPUs.
edited Mar 12 at 15:37
Robin Whittleton
1033
1033
answered Mar 12 at 0:44
Michael Hampton♦Michael 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
add a comment |
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
add a comment |
Thanks for contributing an answer to Server Fault!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fserverfault.com%2fquestions%2f957832%2fwhat-are-actual-tesla-m60-models-used-by-aws%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown