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Feature #18325

closed

Option to include CUDA tooling in cloud compute image

Added by Peter Amstutz 8 months ago. Updated 6 months ago.

Status:
Resolved
Priority:
Normal
Assigned To:
Category:
Crunch
Target version:
Start date:
12/20/2021
Due date:
% Done:

100%

Estimated time:
(Total: 0.00 h)
Story points:
-
Release relationship:
Auto

Description

Node type

I used a "g4nd.xlarge" node for testing because on brief inspection, it seemed to be the cheapest GPU nodes available (something like $0.526/hr). It has a Tesla T4 GPU. However you could probably have packer install all this stuff on a non-GPU node.

Kernel stuff

Need to have the linux-headers package that corresponds exactly to the kernel image, this is because it use dkms to compile the nvidia kernel module on demand.

For Buster the latest seem to be:

linux-image-4.19.0-18-cloud-amd64
linux-headers-4.19.0-18-cloud-amd64

CUDA stuff

Note: starting with CUDA 11.5 they only support Debian Bullseye. The previous version, 11.4.3, only supports Buster.

Installation commands from https://developer.nvidia.com/cuda-11-4-3-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Debian&target_version=10&target_type=deb_network

apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/debian10/x86_64/7fa2af80.pub
apt-get install software-properties-common
add-apt-repository "deb https://developer.download.nvidia.com/compute/cuda/repos/debian10/x86_64/ /" 
add-apt-repository contrib
apt-get update
apt-get -y install cuda

After everything is installed, use "nvidia-detect" to make sure the GPU is detected and "nvidia-smi" to make sure the kernel module / driver is loaded.

If "nvidia-smi" doesn't work, it probably means the kernel module didn't build, try "dkms autoinstall" and see what failed.

Docker stuff

We need to have Docker 19.03 or later installed -- the current compute image is using the "docker.io" package shipped with Buster, which is 18.xx. The latest version in the docker-ce 19.03.xx series is 19.03.15. We could also upgrade to a more recent version.

curl -fsSL https://download.docker.com/linux/debian/gpg | sudo gpg --dearmor -o /usr/share/keyrings/docker-archive-keyring.gpg
mkdir -p /etc/apt/sources.list.d && \
    echo deb [arch=amd64 signed-by=/usr/share/keyrings/docker-archive-keyring.gpg] https://download.docker.com/linux/debian/ buster stable > /etc/apt/sources.list.d/docker.list && \
    apt-get update && \
    apt-get -yq --no-install-recommends install docker-ce=5:19.03.15~3-0~debian-buster && \
    apt-get clean

nvidia-container-toolkit

This is some additional tooling used by both Singularity and and Docker to support CUDA.

DIST=$(. /etc/os-release; echo $ID$VERSION_ID)
curl -s -L https://nvidia.github.io/libnvidia-container/gpgkey | \
  sudo apt-key add -
curl -s -L https://nvidia.github.io/libnvidia-container/$DIST/libnvidia-container.list | \
  sudo tee /etc/apt/sources.list.d/libnvidia-container.list
sudo apt-get update
apt-get install libnvidia-container1 libnvidia-container-tools nvidia-container-toolkit

you might also need to restart docker after this is installed

systemctl restart docker

Testing that GPU is available inside the container

docker run --rm --gpus 1 nvidia/cuda:11.0-base nvidia-smi
singularity exec --nv docker://nvidia/cuda:11.0-base nvidia-smi

Subtasks 1 (0 open1 closed)

Task #18595: review 18325-cuda-azure-imageResolvedPeter Amstutz12/20/2021

Actions

Related issues

Related to Arvados Epics - Story #15957: GPU supportResolved10/01/202103/31/2022

Actions
Related to Arvados - Support #18606: GPU support on tordo clusterResolvedWard Vandewege

Actions
Actions #1

Updated by Peter Amstutz 8 months ago

  • Release set to 46
Actions #2

Updated by Peter Amstutz 8 months ago

Actions #3

Updated by Peter Amstutz 7 months ago

  • Target version set to 2022-01-05 sprint
  • Assigned To set to Ward Vandewege
  • Description updated (diff)
Actions #4

Updated by Peter Amstutz 7 months ago

  • Description updated (diff)
Actions #5

Updated by Ward Vandewege 7 months ago

I built the debian11 version of the Tordo compute image in packer-build-compute-image: #155 , the resulting ami is ami-0f6e25f2051835461.

This was built from fcbfddb10723cb876a1c83e883ce3bfb4f6a2565 on branch 18325-compute-image-cuda.

# nvidia-smi
Thu Dec 16 21:37:03 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05    Driver Version: 495.29.05    CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   51C    P8    11W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Docker can't find libnvidia-ml.so:

# docker run --rm --gpus 1 nvidia/cuda:11.0-base nvidia-smi
Unable to find image 'nvidia/cuda:11.0-base' locally
11.0-base: Pulling from nvidia/cuda
54ee1f796a1e: Pull complete 
f7bfea53ad12: Pull complete 
46d371e02073: Pull complete 
b66c17bbf772: Pull complete 
3642f1a6dfb3: Pull complete 
e5ce55b8b4b9: Pull complete 
155bc0332b0a: Pull complete 
Digest: sha256:774ca3d612de15213102c2dbbba55df44dc5cf9870ca2be6c6e9c627fa63d67a
Status: Downloaded newer image for nvidia/cuda:11.0-base
NVIDIA-SMI couldn't find libnvidia-ml.so library in your system. Please make sure that the NVIDIA Display Driver is properly installed and present in your system.
Please also try adding directory that contains libnvidia-ml.so to your system PATH.

Specifying LD_PRELOAD and pointing it at the so works though:

docker run -it --rm --gpus 1 nvidia/cuda:11.0-base bash
root@db39cd1cf9cf:/# nvidia-smi
NVIDIA-SMI couldn't find libnvidia-ml.so library in your system. Please make sure that the NVIDIA Display Driver is properly installed and present in your system.
Please also try adding directory that contains libnvidia-ml.so to your system PATH.

root@db39cd1cf9cf:/# LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libnvidia-ml.so.495.29.05 nvidia-smi 
Thu Dec 16 21:44:05 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05    Driver Version: 495.29.05    CUDA Version: N/A      |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   28C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Oh, running `ldconfig` first works too:

root@121eff917be3:/# ldconfig
root@121eff917be3:/# nvidia-smi 
Thu Dec 16 21:58:25 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05    Driver Version: 495.29.05    CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   27C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Singularity works without issue:

# singularity exec --nv docker://nvidia/cuda:11.0-base nvidia-smi
INFO:    Converting OCI blobs to SIF format
INFO:    Starting build...
Getting image source signatures
Copying blob 54ee1f796a1e done  
Copying blob f7bfea53ad12 done  
Copying blob 46d371e02073 done  
Copying blob b66c17bbf772 done  
Copying blob 3642f1a6dfb3 done  
Copying blob e5ce55b8b4b9 done  
Copying blob 155bc0332b0a done  
Copying config e0bead0b96 done  
Writing manifest to image destination
Storing signatures
2021/12/16 21:40:25  info unpack layer: sha256:54ee1f796a1e650627269605cb8e6a596b77b324e6f0a1e4443dc41def0e58a6
2021/12/16 21:40:26  info unpack layer: sha256:f7bfea53ad120b47cea5488f0b8331e737a97b33003517b0bd05e83925b578f0
2021/12/16 21:40:26  info unpack layer: sha256:46d371e02073acecf750a166495a63358517af793de739a51b680c973fae8fb9
2021/12/16 21:40:26  info unpack layer: sha256:b66c17bbf772fa072c280b10fe87bc999420042b5fce5b111db38b4fe7c40b49
2021/12/16 21:40:26  info unpack layer: sha256:3642f1a6dfb3bdd5ba6a8173363fe58bf4d46a01fa3f4b3907a1e60b803527bf
2021/12/16 21:40:26  info unpack layer: sha256:e5ce55b8b4b9ff443d9de73e100d843d57d8708ebaef7bbc33c0c0544c14d1b1
2021/12/16 21:40:26  info unpack layer: sha256:155bc0332b0a8aee5dad9ff6e67299b34ed4cd81d5a6a0a75418b7f48f378998
INFO:    Creating SIF file...
Thu Dec 16 21:40:36 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.29.05    Driver Version: 495.29.05    CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   31C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
Actions #6

Updated by Peter Amstutz 7 months ago

Looks like singularity is working, but Docker isn't.

Actions #7

Updated by Peter Amstutz 7 months ago

FWIW after I finished installing CUDA stuff, here's what the root disk usage looked like, so you can give packer a 15-16 GB root disk instead of the default 8 GB.

Filesystem       Size  Used Avail Use% Mounted on
/dev/nvme1n1p1    28G   14G   14G  50% /
Actions #8

Updated by Ward Vandewege 6 months ago

I built the debian10 version of the Tordo compute image in packer-build-compute-image: #157 , the resulting ami is ami-0e7f0fbea4715116c.

This was built from ec5a52d3551e558e6df50c50e94118d84b0cde08 on branch 18325-compute-image-cuda.

root@ip-10-253-254-164:/home/admin# nvidia-smi 
Fri Dec 17 15:57:12 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.82.01    Driver Version: 470.82.01    CUDA Version: 11.4     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   25C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Docker is OK:

root@ip-10-253-254-164:/home/admin#  docker run --rm --gpus 1 nvidia/cuda:11.0-base nvidia-smi
Unable to find image 'nvidia/cuda:11.0-base' locally
11.0-base: Pulling from nvidia/cuda
54ee1f796a1e: Pull complete 
f7bfea53ad12: Pull complete 
46d371e02073: Pull complete 
b66c17bbf772: Pull complete 
3642f1a6dfb3: Pull complete 
e5ce55b8b4b9: Pull complete 
155bc0332b0a: Pull complete 
Digest: sha256:774ca3d612de15213102c2dbbba55df44dc5cf9870ca2be6c6e9c627fa63d67a
Status: Downloaded newer image for nvidia/cuda:11.0-base
Fri Dec 17 15:57:49 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.82.01    Driver Version: 470.82.01    CUDA Version: 11.4     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   25C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Singularity is OK too:

root@ip-10-253-254-164:/home/admin# singularity exec --nv docker://nvidia/cuda:11.0-base nvidia-smi
INFO:    Converting OCI blobs to SIF format
INFO:    Starting build...
Getting image source signatures
Copying blob 54ee1f796a1e done  
Copying blob f7bfea53ad12 done  
Copying blob 46d371e02073 done  
Copying blob b66c17bbf772 done  
Copying blob 3642f1a6dfb3 done  
Copying blob e5ce55b8b4b9 done  
Copying blob 155bc0332b0a done  
Copying config e0bead0b96 done  
Writing manifest to image destination
Storing signatures
2021/12/17 16:00:25  info unpack layer: sha256:54ee1f796a1e650627269605cb8e6a596b77b324e6f0a1e4443dc41def0e58a6
2021/12/17 16:00:26  info unpack layer: sha256:f7bfea53ad120b47cea5488f0b8331e737a97b33003517b0bd05e83925b578f0
2021/12/17 16:00:26  info unpack layer: sha256:46d371e02073acecf750a166495a63358517af793de739a51b680c973fae8fb9
2021/12/17 16:00:26  info unpack layer: sha256:b66c17bbf772fa072c280b10fe87bc999420042b5fce5b111db38b4fe7c40b49
2021/12/17 16:00:26  info unpack layer: sha256:3642f1a6dfb3bdd5ba6a8173363fe58bf4d46a01fa3f4b3907a1e60b803527bf
2021/12/17 16:00:26  info unpack layer: sha256:e5ce55b8b4b9ff443d9de73e100d843d57d8708ebaef7bbc33c0c0544c14d1b1
2021/12/17 16:00:26  info unpack layer: sha256:155bc0332b0a8aee5dad9ff6e67299b34ed4cd81d5a6a0a75418b7f48f378998
INFO:    Creating SIF file...
Fri Dec 17 16:00:38 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 470.82.01    Driver Version: 470.82.01    CUDA Version: 11.4     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla T4            On   | 00000000:00:1E.0 Off |                    0 |
| N/A   25C    P8     9W /  70W |      0MiB / 15109MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
Actions #9

Updated by Ward Vandewege 6 months ago

ready for review at ec5a52d3551e558e6df50c50e94118d84b0cde08 on branch 18325-compute-image-cuda.

The image based on Debian10 works out of the box for Docker and Singularity. The Debian11 image requires an extra call to `ldconfig` in the docker image, I'm still not sure why. Singularity works out of the box though.

Actions #10

Updated by Peter Amstutz 6 months ago

Ward Vandewege wrote:

ready for review at ec5a52d3551e558e6df50c50e94118d84b0cde08 on branch 18325-compute-image-cuda.

The image based on Debian10 works out of the box for Docker and Singularity. The Debian11 image requires an extra call to `ldconfig` in the docker image, I'm still not sure why. Singularity works out of the box though.

LGTM

Actions #11

Updated by Peter Amstutz 6 months ago

  • Status changed from New to In Progress
Actions #12

Updated by Ward Vandewege 6 months ago

  • % Done changed from 0 to 100
  • Status changed from In Progress to Resolved

Applied in changeset arvados-private:commit:arvados|adfb76eacbb5677ae1db2efd102c674481a3b065.

Actions #13

Updated by Ward Vandewege 6 months ago

  • Status changed from Resolved to In Progress

The equivalent change for Azure, plus support for Ubuntu, is now ready for review at 00cee49e2c3cfa62e7ec8a58437a7d432013c4c3 on branch 18325-cuda-azure-image.

I built a compute image for ce8i5 with nvidia/cuda support in packer-build-compute-image: #162 .

Testing on a machine spun up with that image (type NV6, with a Tesla M60 VM):

# nvidia-smi
Mon Dec 20 19:22:52 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.44       Driver Version: 495.44       CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla M60           Off  | 00000001:00:00.0 Off |                  Off |
| N/A   28C    P0    37W / 150W |      0MiB /  8129MiB |      0%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Docker is OK:

# docker run --rm --gpus 1 nvidia/cuda:11.0-base nvidia-smi
Unable to find image 'nvidia/cuda:11.0-base' locally
11.0-base: Pulling from nvidia/cuda
54ee1f796a1e: Pull complete 
f7bfea53ad12: Pull complete 
46d371e02073: Pull complete 
b66c17bbf772: Pull complete 
3642f1a6dfb3: Pull complete 
e5ce55b8b4b9: Pull complete 
155bc0332b0a: Pull complete 
Digest: sha256:774ca3d612de15213102c2dbbba55df44dc5cf9870ca2be6c6e9c627fa63d67a
Status: Downloaded newer image for nvidia/cuda:11.0-base
Mon Dec 20 19:24:29 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.44       Driver Version: 495.44       CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla M60           Off  | 00000001:00:00.0 Off |                  Off |
| N/A   30C    P0    37W / 150W |      0MiB /  8129MiB |      1%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

Singularity is also OK:

# singularity exec --nv docker://nvidia/cuda:11.0-base nvidia-smi
INFO:    Converting OCI blobs to SIF format
INFO:    Starting build...
Getting image source signatures
Copying blob 54ee1f796a1e done  
Copying blob f7bfea53ad12 done  
Copying blob 46d371e02073 done  
Copying blob b66c17bbf772 done  
Copying blob 3642f1a6dfb3 done  
Copying blob e5ce55b8b4b9 done  
Copying blob 155bc0332b0a done  
Copying config e0bead0b96 done  
Writing manifest to image destination
Storing signatures
2021/12/20 19:25:20  info unpack layer: sha256:54ee1f796a1e650627269605cb8e6a596b77b324e6f0a1e4443dc41def0e58a6
2021/12/20 19:25:21  info unpack layer: sha256:f7bfea53ad120b47cea5488f0b8331e737a97b33003517b0bd05e83925b578f0
2021/12/20 19:25:21  info unpack layer: sha256:46d371e02073acecf750a166495a63358517af793de739a51b680c973fae8fb9
2021/12/20 19:25:21  info unpack layer: sha256:b66c17bbf772fa072c280b10fe87bc999420042b5fce5b111db38b4fe7c40b49
2021/12/20 19:25:21  info unpack layer: sha256:3642f1a6dfb3bdd5ba6a8173363fe58bf4d46a01fa3f4b3907a1e60b803527bf
2021/12/20 19:25:21  info unpack layer: sha256:e5ce55b8b4b9ff443d9de73e100d843d57d8708ebaef7bbc33c0c0544c14d1b1
2021/12/20 19:25:21  info unpack layer: sha256:155bc0332b0a8aee5dad9ff6e67299b34ed4cd81d5a6a0a75418b7f48f378998
INFO:    Creating SIF file...
Mon Dec 20 19:25:30 2021       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 495.44       Driver Version: 495.44       CUDA Version: 11.5     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|                               |                      |               MIG M. |
|===============================+======================+======================|
|   0  Tesla M60           Off  | 00000001:00:00.0 Off |                  Off |
| N/A   31C    P0    37W / 150W |      0MiB /  8129MiB |      1%      Default |
|                               |                      |                  N/A |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                                  |
|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
|        ID   ID                                                   Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+
Actions #14

Updated by Peter Amstutz 6 months ago

Azure/Ubuntu support LGTM

Actions #15

Updated by Ward Vandewege 6 months ago

  • % Done changed from 0 to 100
  • Status changed from In Progress to Resolved
Actions #16

Updated by Ward Vandewege 6 months ago

Actions

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