This page provides information on the V-Ray Swarm distributed rendering service.
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Overview
V-Ray Swarm is the new V-Ray Distributed Rendering manager, the next evolution of V-Ray Distributed Rendering, offering a number of features that make rendering with V-Ray even faster. Currently, V-Ray Swarm is available in V-Ray for Revit, V-Ray for Rhino, and V-Ray for SketchUp. Its interface is accessible by a web browser.
For more information on how to use and operate V-Ray Swarm within V-Ray for SketchUp please refer to Swarm Settings page.
For more information on how to use and operate V-Ray Swarm within V-Ray for Rhino please refer to Swarm Settings page.
Docker Swarm For Mac
For more information on how to use and operate V-Ray Swarm within V-Ray for Revit please refer to the Operating Swarm in Revit and V-Ray Swarm QuickStart pages.
V-Ray Swarm controls V-Ray Distributed Rendering on each render node machine; the actual rendering is handled by V-Ray Standalone.
All that is needed to dedicate a machine as a V-Ray Distributed Rendering slave, is to install and run V-Ray Swarm on it. V-Ray Swarm discovers and adds machines for rendering, handles the installation of V-Ray Standalone builds on each machine, starts and stops the rendering process, monitors CPU, RAM, and GPU resources per system, and deploys the configuration of V-Ray on all V-Ray Swarm machines with a single click. V-Ray Swarm makes V-Ray Distributed Rendering easier than ever.
The new features that V-Ray Swarm adds to V-Ray Distributed Rendering are:
- Ensures every machine is rendering with the same version of V-Ray.
- Provides the ability to monitor and manage the entire V-Ray Swarm network through a web interface. The percentage of computing power currently being used can be manually and interactively adjusted.
- Monitors the state of each computer to make sure that V-Ray is active and ready, and restarts V-Ray if necessary.
- Automatically discovers machines running V-Ray Swarm over the network, eliminating the need to manually input the IP address/hostname of each render slave machine.
- Automatically or manually assigns a computer to be the one that controls and manages V-Ray Swarm on the render node machines.
Each machine participating in the render job requires a V-Ray Render Node license. This includes the workstation initiating the rendering process.
V-Ray Swarm does not provide licenses. Instead, each render node must be connected to a V-Ray Online License Server.
System Requirements
Please make sure that your system fulfills these requirements before installing V-Ray Swarm.
Windows
Processor | Intel® Pentium® IV or compatible processor with SSE3 support (x64) |
RAM | 256 MB RAM |
USB Port | USB 1.0 required for hardware lock |
TCP/IP | Only IPv4 is supported, IPv6 is currently not supported |
Operating System | Windows® 7 and newer (64-bit versions only) |
Mac OS X
Processor | Intel® Pentium® IV or compatible processor with SSE3 support (x64) |
RAM | 256 MB RAM |
USB Port | USB 1.0 required for hardware lock |
TCP/IP | Only IPv4 is supported, IPv6 is currently not supported |
Operating System | Mac OS X 10.7 and newer (64-bit versions only) |
Linux
Processor | Intel® Pentium® IV or compatible processor with SSE3 support (x64) |
RAM | 256 MB RAM |
USB Port | USB 1.0 required for hardware lock |
TCP/IP | Only IPv4 is supported, IPv6 is currently not supported |
Operating System | CentOS 6 / Debian 8 / Fedora 17 / openSUSE 13.0 / Ubuntu 14.4 and newer (64-bit versions only) |
Recently docker has released Docker for Mac and it works really well since it is a native application and does not use docker machine concept, but if you want to play with docker swarm you can not.
In this tutorial I will show you how to start with docker swarm with all required commands.
Docker Machine
First of all you need to utilize docker-machine and create 3 machines ( you can do more if you want but 3 will do it). These machines are going to be our cluster to play with. Execute next commands:
Commands for creating docker machines
2 4 6 8 | Swarm initialized:current node(dxn1zf6l61qsb1josjja83ngz)isnowamanager. Toaddaworker tothisswarm,run the following command: docker swarm join --token SWMTKN-1-49nj1cmql0jkz5s954yi3oex3nedyz0fb0xx14ie39trti4wxv-8vxv8rssmk743ojnwacrr2e7c Toaddamanager tothisswarm,run'docker swarm join-token manager'andfollow the instructions. |
In the message above we have explanation how to add a worker node and how to add manager node into the swarm. To get us started with our playground we need only two worker nodes, but if you want go and see what happens.
Once we have our first manager we will ssh to both worker nodes using ssh command and paste the swarm join command.