LarkSR3.3
3.3 Environment
Hardware Environment
CPU
Memory
GPU
sound card
Software Environment
Operating System
Chrome Browser
VC Runtime Library
DX Runtime
Text Editor
Virtual Sound Card Driver
Virtual Camera Driver
Virtual Handle Controller Driver
System Settings
Turn Off Antivirus and Firewall
Turn Off Application Running Notification
Setup Automatic Login
Set Never Sleep-Never Turn Off the Display
Using dongle settings
3D Program Adaptation
Program Adaptation Requirements
Installation and Deployment
System Components
Stand-Alone Version
Simple Cluster Version (Windows)
Deployment in Detail
Stand-Alone Intranet
Stand-Alone External Network
Cluster intranet(Windows)
Cluster external network(Windows)
Cluster intranet(Linux Docker)
Cluster external network(Linux Docker)
Deployment Case Study
Edge cluster deployment
LarkXR NAT
LarkXR Turn
Nginx reverse proxy
Server Port Mapping
Advanced Cluster Deployment
GPU dedicated server
Server Deployment Guide
Operating System Precautions
Using
Browser support
Browser support
Front usage instructions
Language support
Application Overview
Enter the application
Video interaction
Voice interaction
Live streaming
Text input
Regional detection
Allocation strategy
Remote pole setting
Gesture instructions
Function menu
PC
Mobile
Exit the application
Backend usage instructions
Login
Data center
Monitor
Usage Statistics
clientErrLog
Applications
Package Management
Package Overview
Add Package
Update package
Delete Package
Application Management
Applications
Add Applications
Share
Mouse Mapping
Reserve Applications
Noun interpretation
Run Applications
RunApplications
Synchronization management
Index
Client List
SR Client Management
Group Mgt
Group management
System Setting
Access Auth List
Workspace
Param Setting
LicenceType
No Operation Timeout
Store
Safe
Region Setting
Custom Logo
Short Note
Port Mapping
Dispatch Policy
Current Limiting
Theme
Users
Change Password
change PWD
Port Forward
guides
Custom
App Index
EnterAppli
Server-side
Application Storage
Standalone
Local Storage
OSS Storage
AWS S3
Cluster
Local storage
OSS Storage
AWS S3
General Features
Disk Space
Sync
Set Max Sync Cnt
Feature Components
DataChannel
Additional Parameters
Smart Voice
video input
voice input
external physical controller
Interactive Mode
How to use
Use Front end
Interactive Mode Interface Integration
Security Settings
Feature Components
Redis
MySQL8
Database Monitoring(druid)
Change userName and PWD
Disable
HTTPS access
Windows
Linux Docker
App Auth
Workplace Access Encryption
SDK ID for encrypted secondary development
security setting
Use AppliList Page
IP Blacklist-Whitelist
Allow Cross-Origin
CORS
Cors For Upload
Frequently Asked Questions (FAQ)
list of common issues
Update Log
product updates
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首页
Cluster intranet(Linux Docker)
**Step One: Environment Preparation** Please refer to [Environment Preparation](https://docs.paraverse.cc/doc/219/) to set up two servers, with at least one being a GPU server. If the master node will be used as a rendering node, follow the steps for [Deploying the Standalone Version](https://docs.paraverse.cc/doc/243/) for deployment, starting from step 8 for the rendering node configuration. If the master node is not used for rendering, proceed with the following steps for deployment. **Step Two: System Composition** Based on [System Components](https://docs.paraverse.cc/doc/244/),download the program package and recommend extracting it to the root directory of a drive, ensuring that the path does not contain any Chinese characters. **Step Three: Port Availability** Configure the system ensuring that the system ports are available and not in use. If any ports are occupied, make the necessary modifications. **Master Node:** |Type | Port Number | Purpose | Modification Method| |-------- | -------- | -------- |------------| |TCP | **8181** | Frontend page nginx forwarding and backend interface | [Modify 8181 port]( https://www.pingxingyun.com/question/detail?topicId=10078&categoryId=2 Please refer to)| |TCP | **8182** | Backend page nginx forwarding | [Modify port 8182]( https://www.pingxingyun.com/question/detail?topicId=10114&categoryId=2 Please refer to)| |TCP | 8184 | Management Services | [Modify 8184 Port]( https://www.pingxingyun.com/question/detail?topicId=10116&categoryId=2 "Modify port 8184")| |TCP | 6379 | Redis | [Modify port 6379](https://www.pingxingyun.com/question/detail?topicId=10117&categoryId=2 "Modify port 6379")| **Render Server** |Type | Port Number | Purpose | Modification Method| |-------- | -------- | -------- |------------| |TCP | 8089 | Sync and Proxy Service Port | [Modify 8089 Port]( https://www.pingxingyun.com/question/detail?topicId=10118&categoryId=2 "Modify port 8089")| |TCP | 10002 | Websocket communication port | [Modify 10002 port]( https://www.pingxingyun.com/question/detail?topicId=10119&categoryId=2 "Modify port 10002")| |TCP | 10003 | Internal communication port of rendering server | [Modify 10003 port]( https://www.pingxingyun.com/question/detail?topicId=10121&categoryId=2 "Modify Port 10003")| |TCP | 10004 | rendering server SSL port | [modify 10004 port]( https://www.pingxingyun.com/question/detail?topicId=10120&categoryId=2 "Modify Port 10004")| |UDP | **10011-10040** | Audio and Video Communication Port | [Modify Audio and Video Port]( https://www.pingxingyun.com/question/detail?topicId=10122&categoryId=2 "Modify audio and video ports")| ## Center - **1. Prepare the Linux Server** - **2. Increase the System's Open File Limit:** ```html ulimit -n 65535 ``` - **3.Set the System to Use UTC Time by Default:** ```html sudo ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime ``` Verify the time:`timedatectl` or `date` - **4. Set a Static IP for the Virtual Machine:** 1. Open the configuration file: `sudo vim /etc/netplan/01-network-manager-all.yaml` 2. Modify the configuration file as follows:: ```html network: ethernets: ens33: dhcp4: false addresses: [192.168.0.x/24] optional: true gateway4: 192.168.0.1 nameservers: addresses: [114.114.114.114,8.8.8.8] version: 2 ``` 3. Apply the network settings: `sudo netplan apply` or `sudo netplan --debug apply` - **5. Upload the Management Node Package to Linux** 1. Open the [Pingxingyun Development Center page](https://paraverse.cc/larkxr-resource/)in your browser and download the [Linux] compressed package.  2. Extract the downloaded compressed package and use WinSCP to upload the larkxr-center-docker package from the center management server to the virtual machine. 3. After completing the configuration, return to the /opt/larkxr-center-ubuntu-docker directory and start the service using the following command: ```html sh start.sh ``` - **6.After all services are started successfully, access IP:8182 with the default account admin and password 123456** - **7. Log in to the backend interface to view resource monitoring information. At this point, the number of GPU nodes is 0. Next, you need to configure and start the rendering service.** ## Render - **1.Prepare a Linux server** - **2. Confirm the Graphics Card Driver** Confirm whether the NVIDIA graphics card driver is correctly installed on the current system. If it is not installed, install the driver corresponding to your graphics card. ```html nvidia-smi ``` - **3.Execute the Following Commands to Modify Kernel Parameters (Optional Operation)** View the configuration file: ` sudo view /etc/sysctl.d/10-ptrace.conf` • Add or modify the following content: ` kernel.yama.ptrace_scope=0 ` • Save and exit, then execute the following command to apply the changes: `sudo /sbin/sysctl -p ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime` - **4.Set the System to Use UTC Time by Default:** ```html sudo ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime ``` Verify the time:`timedatectl`或`date` - **5.Set a static IP for the virtual machine** 1. Open the configuration file:`sudo vim /etc/netplan/01-network-manager-all.yaml` 2. Modify the configuration file as follows: ```html network: ethernets: ens33: dhcp4: false addresses: [192.168.0.x/24] optional: true gateway4: 192.168.0.1 nameservers: addresses: [114.114.114.114,8.8.8.8] version: 2 ``` 3. Apply the network settings:`sudo netplan apply`or`sudo netplan --debug apply` - **6.Upload the management node package to Linux** 1. Open the [Pingxingyun Development Center page](https://paraverse.cc/larkxr-resource/)in your browser and download the [Linux] compressed package. 2. Extract the downloaded compressed package and use WinSCP to upload the larkxr-render-docker package from the center management server to the virtual machine. 4. After completing the configuration, return to the /opt/larkxr-render-docker directory and start the service using the following command ```html cd /opt/larkxr-render-docker/ sh start.sh ``` To stop the service ```html cd /opt/larkxr-render-docker/ sh stop.sh ``` - **7.Log in to the Backend Interface and View Resource Monitoring Information:At this point, the number of GPU nodes should be 1**
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2025年5月8日 14:00
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