c1eaa33d9e
thanks to @libreshare (https://gitea.publichub.eu/oscar.krause/fastapi-dls/issues/2) |
||
---|---|---|
.DEBIAN | ||
.PKGBUILD | ||
.UNRAID | ||
app | ||
doc | ||
examples | ||
test | ||
.codeclimate.yml | ||
.editorconfig | ||
.gitignore | ||
.gitlab-ci.yml | ||
CODEOWNERS | ||
docker-compose.yml | ||
Dockerfile | ||
FAQ.md | ||
README.md | ||
requirements.txt | ||
ROADMAP.md |
FastAPI-DLS
Minimal Delegated License Service (DLS).
Compatibility tested with official NLS 2.0.1, 2.1.0, 3.1.0.
This service can be used without internet connection. Only the clients need a connection to this service on configured port.
Official Links
- https://git.collinwebdesigns.de/oscar.krause/fastapi-dls (Private Git)
- https://gitea.publichub.eu/oscar.krause/fastapi-dls (Public Git)
- https://hub.docker.com/r/collinwebdesigns/fastapi-dls (Docker-Hub
collinwebdesigns/fastapi-dls:latest
)
All other repositories are forks! (which is no bad - just for information and bug reports)
[[TOC]]
Setup (Service)
System requirements
- 256mb ram
- 4gb hdd
Tested with Ubuntu 22.10 (from Proxmox templates), actually its consuming 100mb ram and 750mb hdd.
Prepare your system
- Make sure your timezone is set correct on you fastapi-dls server and your client
Docker
Docker-Images are available here:
- Docker-Hub:
collinwebdesigns/fastapi-dls:latest
- GitLab-Registry:
registry.git.collinwebdesigns.de/oscar.krause/fastapi-dls/main:latest
The images include database drivers for postgres
, mysql
, mariadb
and sqlite
.
Run this on the Docker-Host
WORKING_DIR=/opt/docker/fastapi-dls/cert
mkdir -p $WORKING_DIR
cd $WORKING_DIR
# create instance private and public key for singing JWT's
openssl genrsa -out $WORKING_DIR/instance.private.pem 2048
openssl rsa -in $WORKING_DIR/instance.private.pem -outform PEM -pubout -out $WORKING_DIR/instance.public.pem
# create ssl certificate for integrated webserver (uvicorn) - because clients rely on ssl
openssl req -x509 -nodes -days 3650 -newkey rsa:2048 -keyout $WORKING_DIR/webserver.key -out $WORKING_DIR/webserver.crt
Start container
To test if everything is set up properly you can start container as following:
docker volume create dls-db
docker run -e DLS_URL=`hostname -i` -e DLS_PORT=443 -p 443:443 -v $WORKING_DIR:/app/cert -v dls-db:/app/database collinwebdesigns/fastapi-dls:latest
Docker-Compose / Deploy stack
See examples
directory for more advanced examples (with reverse proxy usage).
Adjust REQUIRED variables as needed
version: '3.9'
x-dls-variables: &dls-variables
TZ: Europe/Berlin # REQUIRED, set your timezone correctly on fastapi-dls AND YOUR CLIENTS !!!
DLS_URL: localhost # REQUIRED, change to your ip or hostname
DLS_PORT: 443
LEASE_EXPIRE_DAYS: 90 # 90 days is maximum
DATABASE: sqlite:////app/database/db.sqlite
DEBUG: false
services:
dls:
image: collinwebdesigns/fastapi-dls:latest
restart: always
environment:
<<: *dls-variables
ports:
- "443:443"
volumes:
- /opt/docker/fastapi-dls/cert:/app/cert
- dls-db:/app/database
logging: # optional, for those who do not need logs
driver: "json-file"
options:
max-file: 5
max-size: 10m
volumes:
dls-db:
Debian/Ubuntu (manual method using git clone
and python virtual environment)
Tested on Debian 11 (bullseye)
, Ubuntu may also work.
Make sure you are logged in as root.
Install requirements
apt-get update && apt-get install git python3-venv python3-pip
Install FastAPI-DLS
WORKING_DIR=/opt/fastapi-dls
mkdir -p $WORKING_DIR
cd $WORKING_DIR
git clone https://git.collinwebdesigns.de/oscar.krause/fastapi-dls .
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
deactivate
chown -R www-data:www-data $WORKING_DIR
Create keypair and webserver certificate
WORKING_DIR=/opt/fastapi-dls/app/cert
mkdir -p $WORKING_DIR
cd $WORKING_DIR
# create instance private and public key for singing JWT's
openssl genrsa -out $WORKING_DIR/instance.private.pem 2048
openssl rsa -in $WORKING_DIR/instance.private.pem -outform PEM -pubout -out $WORKING_DIR/instance.public.pem
# create ssl certificate for integrated webserver (uvicorn) - because clients rely on ssl
openssl req -x509 -nodes -days 3650 -newkey rsa:2048 -keyout $WORKING_DIR/webserver.key -out $WORKING_DIR/webserver.crt
chown -R www-data:www-data $WORKING_DIR
Test Service
This is only to test whether the service starts successfully.
cd /opt/fastapi-dls/app
sudo -u www-data /opt/fastapi-dls/venv/bin/uvicorn main:app --app-dir=/opt/fastapi-dls/app
# or
su - www-data -c "/opt/fastapi-dls/venv/bin/uvicorn main:app --app-dir=/opt/fastapi-dls/app"
Create config file
Adjust
DLS_URL
as needed (accessing from LAN won't work with 127.0.0.1)
mkdir /etc/fastapi-dls
cat <<EOF >/etc/fastapi-dls/env
DLS_URL=127.0.0.1
DLS_PORT=443
LEASE_EXPIRE_DAYS=90
DATABASE=sqlite:////opt/fastapi-dls/app/db.sqlite
EOF
Create service
cat <<EOF >/etc/systemd/system/fastapi-dls.service
[Unit]
Description=Service for fastapi-dls
After=network.target
[Service]
User=www-data
Group=www-data
AmbientCapabilities=CAP_NET_BIND_SERVICE
WorkingDirectory=/opt/fastapi-dls/app
EnvironmentFile=/etc/fastapi-dls/env
ExecStart=/opt/fastapi-dls/venv/bin/uvicorn main:app \\
--env-file /etc/fastapi-dls/env \\
--host \$DLS_URL --port \$DLS_PORT \\
--app-dir /opt/fastapi-dls/app \\
--ssl-keyfile /opt/fastapi-dls/app/cert/webserver.key \\
--ssl-certfile /opt/fastapi-dls/app/cert/webserver.crt \\
--proxy-headers
Restart=always
KillSignal=SIGQUIT
Type=simple
NotifyAccess=all
[Install]
WantedBy=multi-user.target
EOF
Now you have to run systemctl daemon-reload
. After that you can start service
with systemctl start fastapi-dls.service
and enable autostart with systemctl enable fastapi-dls.service
.
openSUSE Leap (manual method using git clone
and python virtual environment)
Tested on openSUSE Leap 15.4
, openSUSE Tumbleweed may also work.
Install requirements
zypper in -y python310 python3-virtualenv python3-pip
Install FastAPI-DLS
BASE_DIR=/opt/fastapi-dls
SERVICE_USER=dls
mkdir -p ${BASE_DIR}
cd ${BASE_DIR}
git clone https://git.collinwebdesigns.de/oscar.krause/fastapi-dls .
python3.10 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
deactivate
useradd -r ${SERVICE_USER} -M -d /opt/fastapi-dls
chown -R ${SERVICE_USER} ${BASE_DIR}
Create keypair and webserver certificate
CERT_DIR=${BASE_DIR}/app/cert
SERVICE_USER=dls
mkdir ${CERT_DIR}
cd ${CERT_DIR}
# create instance private and public key for singing JWT's
openssl genrsa -out ${CERT_DIR}/instance.private.pem 2048
openssl rsa -in ${CERT_DIR}/instance.private.pem -outform PEM -pubout -out ${CERT_DIR}/instance.public.pem
# create ssl certificate for integrated webserver (uvicorn) - because clients rely on ssl
openssl req -x509 -nodes -days 3650 -newkey rsa:2048 -keyout ${CERT_DIR}/webserver.key -out ${CERT_DIR}/webserver.crt
chown -R ${SERVICE_USER} ${CERT_DIR}
Test Service
This is only to test whether the service starts successfully.
BASE_DIR=/opt/fastapi-dls
SERVICE_USER=dls
cd ${BASE_DIR}
sudo -u ${SERVICE_USER} ${BASE_DIR}/venv/bin/uvicorn main:app --app-dir=${BASE_DIR}/app
# or
su - ${SERVICE_USER} -c "${BASE_DIR}/venv/bin/uvicorn main:app --app-dir=${BASE_DIR}/app"
Create config file
Adjust
DLS_URL
as needed (accessing from LAN won't work with 127.0.0.1)
BASE_DIR=/opt/fastapi-dls
cat <<EOF >/etc/fastapi-dls/env
DLS_URL=127.0.0.1
DLS_PORT=443
LEASE_EXPIRE_DAYS=90
DATABASE=sqlite:///${BASE_DIR}/app/db.sqlite
EOF
Create service
BASE_DIR=/opt/fastapi-dls
SERVICE_USER=dls
cat <<EOF >/etc/systemd/system/fastapi-dls.service
[Unit]
Description=Service for fastapi-dls vGPU licensing service
After=network.target
[Service]
User=${SERVICE_USER}
AmbientCapabilities=CAP_NET_BIND_SERVICE
WorkingDirectory=${BASE_DIR}/app
EnvironmentFile=/etc/fastapi-dls/env
ExecStart=${BASE_DIR}/venv/bin/uvicorn main:app \\
--env-file /etc/fastapi-dls/env \\
--host \$DLS_URL --port \$DLS_PORT \\
--app-dir ${BASE_DIR}/app \\
--ssl-keyfile ${BASE_DIR}/app/cert/webserver.key \\
--ssl-certfile ${BASE_DIR}/app/cert/webserver.crt \\
--proxy-headers
Restart=always
KillSignal=SIGQUIT
Type=simple
NotifyAccess=all
[Install]
WantedBy=multi-user.target
EOF
Now you have to run systemctl daemon-reload
. After that you can start service
with systemctl start fastapi-dls.service
and enable autostart with systemctl enable fastapi-dls.service
.
Debian/Ubuntu (using dpkg
)
Packages are available here:
Successful tested with:
- Debian 12 (Bookworm)
- Ubuntu 22.10 (Kinetic Kudu)
Not working with:
- Debian 11 (Bullseye) and lower (missing
python-jose
dependency) - Ubuntu 22.04 (Jammy Jellyfish) (not supported as for 15.01.2023 due to fastapi - uvicorn version missmatch)
Run this on your server instance
First go to GitLab-Registry and select your
version. Then you have to copy the download link of the fastapi-dls_X.Y.Z_amd64.deb
asset.
apt-get update
FILENAME=/opt/fastapi-dls.deb
wget -O $FILENAME <download-url>
dpkg -i $FILENAME
apt-get install -f --fix-missing
Start with systemctl start fastapi-dls.service
and enable autostart with systemctl enable fastapi-dls.service
.
Now you have to edit /etc/fastapi-dls/env
as needed.
ArchLinux (using pacman
)
Shout out to samicrusader
who created build file for ArchLinux!
Packages are available here:
pacman -Sy
FILENAME=/opt/fastapi-dls.pkg.tar.zst
curl -o $FILENAME <download-url>
# or
wget -O $FILENAME <download-url>
pacman -U --noconfirm fastapi-dls.pkg.tar.zst
Start with systemctl start fastapi-dls.service
and enable autostart with systemctl enable fastapi-dls.service
.
Now you have to edit /etc/default/fastapi-dls
as needed.
unRAID
- Download this xml file
- Put it in /boot/config/plugins/dockerMan/templates-user/
- Go to Docker page, scroll down to
Add Container
, click on Template list and chooseFastAPI-DLS
- Open terminal/ssh, follow the instructions in overview description
- Setup your container
IP
,Port
,DLS_URL
andDLS_PORT
- Apply and let it boot up
Unraid users must also make sure they have Host access to custom networks enabled if unraid is the vgpu guest.
Continue here for docker guest setup.
Let's Encrypt Certificate (optional)
If you're using installation via docker, you can use traefik
. Please refer to their documentation.
Note that port 80 must be accessible, and you have to install socat
if you're using standalone
mode.
acme.sh --issue -d example.com \
--cert-file /etc/fastapi-dls/webserver.donotuse.crt \
--key-file /etc/fastapi-dls/webserver.key \
--fullchain-file /etc/fastapi-dls/webserver.crt \
--reloadcmd "systemctl restart fastapi-dls.service"
After first success you have to replace --issue
with --renew
.
Configuration
Variable | Default | Usage |
---|---|---|
DEBUG |
false |
Toggles fastapi debug mode |
DLS_URL |
localhost |
Used in client-token to tell guest driver where dls instance is reachable |
DLS_PORT |
443 |
Used in client-token to tell guest driver where dls instance is reachable |
TOKEN_EXPIRE_DAYS |
1 |
Client auth-token validity (used for authenticate client against api, not .tok file!) |
LEASE_EXPIRE_DAYS |
90 |
Lease time in days |
LEASE_RENEWAL_PERIOD |
0.15 |
The percentage of the lease period that must elapse before a licensed client can renew a license *1 |
DATABASE |
sqlite:///db.sqlite |
See official SQLAlchemy docs |
CORS_ORIGINS |
https://{DLS_URL} |
Sets Access-Control-Allow-Origin header (comma separated string) *2 |
SITE_KEY_XID |
00000000-0000-0000-0000-000000000000 |
Site identification uuid |
INSTANCE_REF |
10000000-0000-0000-0000-000000000001 |
Instance identification uuid |
ALLOTMENT_REF |
20000000-0000-0000-0000-000000000001 |
Allotment identification uuid |
INSTANCE_KEY_RSA |
<app-dir>/cert/instance.private.pem |
Site-wide private RSA key for singing JWTs *3 |
INSTANCE_KEY_PUB |
<app-dir>/cert/instance.public.pem |
Site-wide public key *3 |
*1 For example, if the lease period is one day and the renewal period is 20%, the client attempts to renew its license every 4.8 hours. If network connectivity is lost, the loss of connectivity is detected during license renewal and the client has 19.2 hours in which to re-establish connectivity before its license expires.
*3 Always use https
, since guest-drivers only support secure connections!
*4 If you recreate instance keys you need to recreate client-token for each guest!
Setup (Client)
The token file has to be copied! It's not enough to C&P file contents, because there can be special characters.
Successfully tested with this package versions:
vGPU Suftware | vGPU Manager | Linux Driver | Windows Driver | Release Date |
---|---|---|---|---|
15.3 |
525.125.03 |
525.125.06 |
529.11 |
June 2023 |
15.2 |
525.105.14 |
525.105.17 |
528.89 |
March 2023 |
15.1 |
525.85.07 |
525.85.05 |
528.24 |
January 2023 |
15.0 |
525.60.12 |
525.60.13 |
527.41 |
December 2022 |
14.4 |
510.108.03 |
510.108.03 |
514.08 |
December 2022 |
14.3 |
510.108.03 |
510.108.03 |
513.91 |
November 2022 |
Linux
Download client-token and place it into /etc/nvidia/ClientConfigToken
:
curl --insecure -L -X GET https://<dls-hostname-or-ip>/-/client-token -o /etc/nvidia/ClientConfigToken/client_configuration_token_$(date '+%d-%m-%Y-%H-%M-%S').tok
# or
wget --no-check-certificate -O /etc/nvidia/ClientConfigToken/client_configuration_token_$(date '+%d-%m-%Y-%H-%M-%S').tok https://<dls-hostname-or-ip>/-/client-token
Restart nvidia-gridd
service:
service nvidia-gridd restart
Check licensing status:
nvidia-smi -q | grep "License"
Output should be something like:
vGPU Software Licensed Product
License Status : Licensed (Expiry: YYYY-M-DD hh:mm:ss GMT)
Done. For more information check troubleshoot section.
Windows
Power-Shell (run as administrator!)
Download client-token and place it into C:\Program Files\NVIDIA Corporation\vGPU Licensing\ClientConfigToken
:
curl.exe --insecure -L -X GET https://<dls-hostname-or-ip>/-/client-token -o "C:\Program Files\NVIDIA Corporation\vGPU Licensing\ClientConfigToken\client_configuration_token_$($(Get-Date).tostring('dd-MM-yy-hh-mm-ss')).tok"
Restart NvContainerLocalSystem
service:
Restart-Service NVDisplay.ContainerLocalSystem
Check licensing status:
& 'nvidia-smi' -q | Select-String "License"
Output should be something like:
vGPU Software Licensed Product
License Status : Licensed (Expiry: YYYY-M-DD hh:mm:ss GMT)
Done. For more information check troubleshoot section.
unRAID Guest
- Make sure you create a folder in a linux filesystem (BTRFS/XFS/EXT4...), I recommend
/mnt/user/system/nvidia
(this is where docker and libvirt preferences are saved, so it's a good place to have that) - Edit the script to put your
DLS_IP
,DLS_PORT
andTOKEN_PATH
, properly - Install
User Scripts
plugin from Community Apps (the Apps page, or google User Scripts Unraid if you're not using CA) - Go to
Settings > Users Scripts > Add New Script
- Give it a name (the name must not contain spaces preferably)
- Click on the gear icon to the left of the script name then edit script
- Paste the script and save
- Set schedule to
At First Array Start Only
- Click on Apply
Endpoints
GET /
Redirect to /-/readme
.
GET /-/health
Status endpoint, used for healthcheck.
GET /-/config
Shows current runtime environment variables and their values.
GET /-/readme
HTML rendered README.md.
GET /-/manage
Shows a very basic UI to delete origins or leases.
GET /-/origins?leases=false
List registered origins.
Query Parameter | Default | Usage |
---|---|---|
leases |
false |
Include referenced leases per origin |
DELETE /-/origins
Deletes all origins and their leases.
GET /-/leases?origin=false
List current leases.
Query Parameter | Default | Usage |
---|---|---|
origin |
false |
Include referenced origin per lease |
DELETE /-/lease/{lease_ref}
Deletes an lease.
GET /-/client-token
Generate client token, (see installation).
Others
There are many other internal api endpoints for handling authentication and lease process.
Troubleshoot
Please make sure that fastapi-dls and your guests are on the same timezone!
Docker
Logs are available with docker logs <container>
. To get the correct container-id use docker container ls
or docker ps
.
Linux
Logs are available with journalctl -u nvidia-gridd -f
.
Windows
Logs are available in C:\Users\Public\Documents\Nvidia\LoggingLog.NVDisplay.Container.exe.log
.
Known Issues
Linux
uvicorn.error:Invalid HTTP request received.
This message can be ignored.
Log example
WARNING:uvicorn.error:Invalid HTTP request received.
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/uvicorn/protocols/http/h11_impl.py", line 129, in handle_events
event = self.conn.next_event()
File "/usr/lib/python3/dist-packages/h11/_connection.py", line 485, in next_event
exc._reraise_as_remote_protocol_error()
File "/usr/lib/python3/dist-packages/h11/_util.py", line 77, in _reraise_as_remote_protocol_error
raise self
File "/usr/lib/python3/dist-packages/h11/_connection.py", line 467, in next_event
event = self._extract_next_receive_event()
File "/usr/lib/python3/dist-packages/h11/_connection.py", line 409, in _extract_next_receive_event
event = self._reader(self._receive_buffer)
File "/usr/lib/python3/dist-packages/h11/_readers.py", line 84, in maybe_read_from_IDLE_client
raise LocalProtocolError("no request line received")
h11._util.RemoteProtocolError: no request line received
Windows
Required cipher on Windows Guests (e.g. managed by domain controller with GPO)
It is required to enable SHA1
(TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA_P521
)
in windows cipher suite.
Multiple Display Container LS Instances
On Windows on some machines there are running two or more instances of NVIDIA Display Container LS
. This causes a
problem on licensing flow. As you can see in the logs below, there are two lines with NLS initialized
, each prefixed
with <1>
and <2>
. So it is possible, that daemon 1 fetches a valid license through dls-service, and daemon 2
only
gets a valid local license.
Log
Display-Container-LS
Tue Dec 20 17:25:11 2022:<1>:NLS initialized
Tue Dec 20 17:25:12 2022:<2>:NLS initialized
Tue Dec 20 17:25:16 2022:<1>:Valid GRID license not found. GPU features and performance will be restricted. To enable full functionality please configure licensing details.
Tue Dec 20 17:25:17 2022:<1>:License acquired successfully. (Info: 192.168.178.110, NVIDIA RTX Virtual Workstation; Expiry: 2022-12-21 16:25:16 GMT)
Tue Dec 20 17:25:17 2022:<2>:Valid GRID license not found. GPU features and performance will be restricted. To enable full functionality please configure licensing details.
Tue Dec 20 17:25:38 2022:<2>:License acquired successfully from local trusted store. (Info: 192.168.178.110, NVIDIA RTX Virtual Workstation; Expiry: 2022-12-21 16:25:16 GMT)
fastapi-dls
> [ origin ]: 41720000-FA43-4000-9472-0000E8660000: {'candidate_origin_ref': '41720000-FA43-4000-9472-0000E8660000', 'environment': {'fingerprint': {'mac_address_list': ['5E:F0:79:E6:DE:E1']}, 'hostname': 'PC-Windows', 'ip_address_list': ['2003:a:142e:c800::1cc', 'fdfe:7fcd:e30f:40f5:ad5c:e67b:49a6:cfb3', 'fdfe:7fcd:e30f:40f5:6409:db1c:442b:f90b', 'fe80::a32e:f736:8988:fe45', '192.168.178.110'], 'guest_driver_version': '527.41', 'os_platform': 'Windows 10 Pro', 'os_version': '10.0.19045', 'host_driver_version': '525.60.12', 'gpu_id_list': ['1E3010DE-133210DE'], 'client_platform_id': '00000000-0000-0000-0000-000000000113', 'hv_platform': 'Unknown', 'cpu_sockets': 1, 'physical_cores': 8}, 'registration_pending': False, 'update_pending': False}
> [ origin ]: 41720000-FA43-4000-9472-0000E8660000: {'candidate_origin_ref': '41720000-FA43-4000-9472-0000E8660000', 'environment': {'fingerprint': {'mac_address_list': ['5E:F0:79:E6:DE:E1']}, 'hostname': 'PC-Windows', 'ip_address_list': ['2003:a:142e:c800::1cc', 'fdfe:7fcd:e30f:40f5:ad5c:e67b:49a6:cfb3', 'fdfe:7fcd:e30f:40f5:6409:db1c:442b:f90b', 'fe80::a32e:f736:8988:fe45', '192.168.178.110'], 'guest_driver_version': '527.41', 'os_platform': 'Windows 10 Pro', 'os_version': '10.0.19045', 'host_driver_version': '525.60.12', 'gpu_id_list': ['1E3010DE-133210DE'], 'client_platform_id': '00000000-0000-0000-0000-000000000113', 'hv_platform': 'Unknown', 'cpu_sockets': 1, 'physical_cores': 8}, 'registration_pending': False, 'update_pending': False}
> [ code ]: 41720000-FA43-4000-9472-0000E8660000: {'code_challenge': 'bTwcOn17SD5mtwmFdKDgufnceGXeGYcnFfMHqmjtReo', 'origin_ref': '41720000-FA43-4000-9472-0000E8660000'}
> [ code ]: 41720000-FA43-4000-9472-0000E8660000: {'code_challenge': 'FCVDfgKmgr+lyvSpOxr4fZnDZv8VrNtNEAZPUuLAr7A', 'origin_ref': '41720000-FA43-4000-9472-0000E8660000'}
> [ auth ]: 41720000-FA43-4000-9472-0000E8660000 (bTwcOn17SD5mtwmFdKDgufnceGXeGYcnFfMHqmjtReo): {'auth_code': 'eyJhbGciOiJSUzI1NiIsImtpZCI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NzE1NTcwMzMsImV4cCI6MTY3MTU1NzkzMywiY2hhbGxlbmdlIjoiYlR3Y09uMTdTRDVtdHdtRmRLRGd1Zm5jZUdYZUdZY25GZk1IcW1qdFJlbyIsIm9yaWdpbl9yZWYiOiJiVHdjT24xN1NENW10d21GZEtEZ3VmbmNlR1hlR1ljbkZmTUhxbWp0UmVvIiwia2V5X3JlZiI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCIsImtpZCI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCJ9.m5M4h9HRYWkItHEdYGApJVM7TgBH0qyDXCxPkaG2-Km5SviRMk0_3er5Myjq3rYGlr88JBviA07Pc3cr7fV-tDAXaSGalxLNfFtVRcnzqbtgnkodep1PHRUXYkiQgfaJ36m02zZucu4qMyYfQTpZ_-x67eycFKyN9T9cRJ4PYFe5W_6_zjzz6D0qeLACDhXt4ns980URttKfn2vACE8gPP5-EC-7lSY1g1mAWJKB_X9OlYRFE2mkCxnde6z5I2qmCXE_awimkigjo5LYvDcjCz60QDsOD2Ojgz4Y9xgjPbKnup4c2orKTWLUfT8_o4toKbaSfuLzPtD-41b3E8NqHQ', 'code_verifier': 'NCkAAB0+AACEHAAAIAAAAEoWAACAGAAArGwAAOkkAABfTgAAK0oAADFiAAANXAAAHzwAAKg4AAC/GwAAkxsAAEJHAABiDwAAaC8AAFMYAAAOLAAAFUkAAEheAAALOwAAHmwAAIJtAABpKwAArmsAAGM8AABnVwAA5FkAAP8mAAA'}
> [ auth ]: 41720000-FA43-4000-9472-0000E8660000 (FCVDfgKmgr+lyvSpOxr4fZnDZv8VrNtNEAZPUuLAr7A): {'auth_code': 'eyJhbGciOiJSUzI1NiIsImtpZCI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NzE1NTcwMzQsImV4cCI6MTY3MTU1NzkzNCwiY2hhbGxlbmdlIjoiRkNWRGZnS21ncitseXZTcE94cjRmWm5EWnY4VnJOdE5FQVpQVXVMQXI3QSIsIm9yaWdpbl9yZWYiOiJGQ1ZEZmdLbWdyK2x5dlNwT3hyNGZabkRadjhWck50TkVBWlBVdUxBcjdBIiwia2V5X3JlZiI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCIsImtpZCI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCJ9.it_UKCHLLd25g19zqryZ6_ePrkHljXJ3uX-hNdu-pcmnYD9ODOVl2u5bRxOrP6S2EUO4WLZIuvLOhbFBUHfZfXFRmmCv4NDJoZx36Qn6zszePK9Bngej40Qf8Wu3JGXMVrwfC6WNW6WFeUT-s9jos5e1glFk_E3ZhOYQjXljWOcfcNvZ-PVJFBi5OzyQqLuL43GQH_PSF66N2gq0OyKgxTvg2q6SzGD3YAxsbjy2mD0YOUv8pW8Dr_9L4hmnNHg2DdM_lCwmy4qIBaDkAQDq8VCw1-4RcXROiLlYwhvHRalsXnmREPXaOUiUrr8rrCX8jgc7Fcd1uhY5jnouWbwEAg', 'code_verifier': 'tFAAAKQSAAAqOQAAhykAANJxAAA9PQAAyFwAALNsAAB/VQAA4GQAAB5fAAA2JgAApWIAAKMeAAB3YwAAggQAAPsEAAAuAgAAblIAABR/AAAfAgAAenoAAKZ3AABUTQAA5CQAANkTAAC8JwAAvUQAAO0yAAA3awAAegIAAD1iAAA'}
> [ leases ]: 41720000-FA43-4000-9472-0000E8660000 (bTwcOn17SD5mtwmFdKDgufnceGXeGYcnFfMHqmjtReo): found 0 active leases
> [ leases ]: 41720000-FA43-4000-9472-0000E8660000 (FCVDfgKmgr+lyvSpOxr4fZnDZv8VrNtNEAZPUuLAr7A): found 0 active leases
> [ create ]: 41720000-FA43-4000-9472-0000E8660000 (bTwcOn17SD5mtwmFdKDgufnceGXeGYcnFfMHqmjtReo): create leases for scope_ref_list ['1e9335d0-049d-48b2-b719-e551c859f9f9']
in comparison to linux
nvidia-grid.service
Dec 20 17:53:32 ubuntu-grid-server nvidia-gridd[10354]: vGPU Software package (0)
Dec 20 17:53:32 ubuntu-grid-server nvidia-gridd[10354]: Ignore service provider and node-locked licensing
Dec 20 17:53:32 ubuntu-grid-server nvidia-gridd[10354]: NLS initialized
Dec 20 17:53:32 ubuntu-grid-server nvidia-gridd[10354]: Acquiring license. (Info: 192.168.178.110; NVIDIA RTX Virtual Workstation)
Dec 20 17:53:34 ubuntu-grid-server nvidia-gridd[10354]: License acquired successfully. (Info: 192.168.178.110, NVIDIA RTX Virtual Workstation; Expiry: 2022-12-21 16:53:33 GMT)
fastapi-dls
> [ origin ]: B210CF72-FEC7-4440-9499-1156D1ACD13A: {'candidate_origin_ref': 'B210CF72-FEC7-4440-9499-1156D1ACD13A', 'environment': {'fingerprint': {'mac_address_list': ['d6:30:d8:de:46:a7']}, 'hostname': 'ubuntu-grid-server', 'ip_address_list': ['192.168.178.114', 'fdfe:7fcd:e30f:40f5:d430:d8ff:fede:46a7', '2003:a:142e:c800::642', 'fe80::d430:d8ff:fede:46a7%ens18'], 'guest_driver_version': '525.60.13', 'os_platform': 'Ubuntu 20.04', 'os_version': '20.04.5 LTS (Focal Fossa)', 'host_driver_version': '525.60.12', 'gpu_id_list': ['1E3010DE-133210DE'], 'client_platform_id': '00000000-0000-0000-0000-000000000105', 'hv_platform': 'LINUX_KVM', 'cpu_sockets': 1, 'physical_cores': 16}, 'registration_pending': False, 'update_pending': False}
> [ code ]: B210CF72-FEC7-4440-9499-1156D1ACD13A: {'code_challenge': 'hYSKI4kpZcWqPatM5Sc9RSCuzMeyz2piTmrRQKnnHro', 'origin_ref': 'B210CF72-FEC7-4440-9499-1156D1ACD13A'}
> [ auth ]: B210CF72-FEC7-4440-9499-1156D1ACD13A (hYSKI4kpZcWqPatM5Sc9RSCuzMeyz2piTmrRQKnnHro): {'auth_code': 'eyJhbGciOiJSUzI1NiIsImtpZCI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCIsInR5cCI6IkpXVCJ9.eyJpYXQiOjE2NzE1NTUyMTIsImV4cCI6MTY3MTU1NjExMiwiY2hhbGxlbmdlIjoiaFlTS0k0a3BaY1dxUGF0TTVTYzlSU0N1ek1leXoycGlUbXJSUUtubkhybyIsIm9yaWdpbl9yZWYiOiJoWVNLSTRrcFpjV3FQYXRNNVNjOVJTQ3V6TWV5ejJwaVRtclJRS25uSHJvIiwia2V5X3JlZiI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCIsImtpZCI6IjAwMDAwMDAwLTAwMDAtMDAwMC0wMDAwLTAwMDAwMDAwMDAwMCJ9.G5GvGEBNMUga25EeaJeAbDk9yZuLBLyj5e0OzVfIjS70UOvDb-SvLSEhBv9vZ_rxjTtaWGQGK0iK8VnLce8KfqsxZzael6B5WqfwyQiok3WWIaQarrZZXKihWhgF49zYAIZx_0js1iSjoF9-vNSj8zan7j-miOCOssfPzGgfJqvWNnhR6_2YkCQgJssHMjGT1QxaJBZDVOuvY0ND7r6jxlS_Xze1nWtau1mtC6bu2hM8cxbYUtM-XOC8welCZ8ZOCKkutmVix0weV3TVNfR5vuBUz1QS6B9YC8R-eVVBhN2hl4j7kGZLmZ4TpyLViYEUVZsqGBayVIPeN2BhtqTO9g', 'code_verifier': 'IDiWUb62sjsNYuU/YtZ5YJdvvxE70gR9vEPOQo9+lh/DjMt1c6egVQRyXB0FAaASNB4/ME8YQjGQ1xUOS7ZwI4tjHDBbUXFBvt2DVu8jOlkDmZsNeI2IfQx5HRkz1nRIUlpqUC/m01gAQRYAuR6dbUyrkW8bq9B9cOLSbWzjJ0E'}
> [ leases ]: B210CF72-FEC7-4440-9499-1156D1ACD13A (hYSKI4kpZcWqPatM5Sc9RSCuzMeyz2piTmrRQKnnHro): found 0 active leases
> [ create ]: B210CF72-FEC7-4440-9499-1156D1ACD13A (hYSKI4kpZcWqPatM5Sc9RSCuzMeyz2piTmrRQKnnHro): create leases for scope_ref_list ['f27e8e79-a662-4e35-a728-7ea14341f0cb']
Error on releasing leases on shutdown (can be ignored and/or fixed with reverse proxy)
The driver wants to release current leases on shutting down windows. This endpoint needs to be a http endpoint. The error message can safely be ignored (since we have no license limitation :P) and looks like this:
Log example
<1>:NLS initialized
<1>:License acquired successfully. (Info: 192.168.178.110, NVIDIA RTX Virtual Workstation; Expiry: 2023-3-30 23:0:22 GMT)
<0>:Failed to return license to 192.168.178.110 (Error: Generic network communication failure)
<0>:End Logging
log with nginx as reverse proxy (see docker-compose-http-and-https.yml)
<1>:NLS initialized
<2>:NLS initialized
<1>:Valid GRID license not found. GPU features and performance will be fully degraded. To enable full functionality please configure licensing details.
<1>:License acquired successfully. (Info: 192.168.178.33, NVIDIA RTX Virtual Workstation; Expiry: 2023-1-4 16:48:20 GMT)
<2>:Valid GRID license not found. GPU features and performance will be fully degraded. To enable full functionality please configure licensing details.
<2>:License acquired successfully from local trusted store. (Info: 192.168.178.33, NVIDIA RTX Virtual Workstation; Expiry: 2023-1-4 16:48:20 GMT)
<2>:End Logging
<1>:End Logging
<0>:License returned successfully. (Info: 192.168.178.33)
<0>:End Logging
Credits
Thanks to vGPU community and all who uses this project and report bugs.
Special thanks to
- @samicrusader who created build file for ArchLinux
- @cyrus who wrote the section for openSUSE
- @midi who wrote the section for unRAID