RapidScale Clusters, LLC

RenderFarmer Menu:

 

Features


Ease of use
RenderFarmer's ease of use is the first benefit you will encounter. From a quick installation and setup to the remarkable speed with which nodes can be network booted and added to the render farm, making hard things easy is what we do. There are graphical tools for:

adding and removing nodes:

addnode

 

submitting and managing jobs:

new_job

 

performance monitoring:

perf_mon

 

Customization
RenderFarmer is highly customizable, and the features shown here are just a fraction of what it can be configured to do:

  • DrQueue's Python and Ruby bindings allow you to write your own connectors and custom integrations
  • The cluster optimized Linux environment shared by all nodes is completely open and customizable
  • Easy modification of boot images (controlled by a single plain text file) allows you to add any executables or other files that should become part of the boot image and stay in each nodes memory
  • The web interface is written in 100% pure java, and with a source code development agreement the screens can be added and modified to suit your environment

Broad support for many render engines
The following render engines are supported, but the flexible framework of DrQueue allows support for any render engine to be added. The only requirement is that it must run under Linux, either natively or with Wine.

Blender V-Ray Standalone**
Maya Mantra / Houdini
Mental Ray Turtle
SoftImage XSI BMRT
Cinema4D Pixie
Aqsis 3Delight
Nuke Shake
Terragen

** = in progress


Flexible Job Management

Any job can easily be prioritized by choosing one of 5 settings from Lowest (100 points) to Highest (1000 points), or can be assigned any custom numeric priority. The highest priority wins. Jobs can also be assigned to a particular subgroup of render nodes, which enables further prioritization. This way a certain department can submit high priority jobs to its own render node pool and low priority jobs to the main pool.

 

Real Time Farm Expansion / Contraction
Render nodes become available for job processing (including jobs already underway) about 60 seconds after they power on. All they need to do is network boot into our customized shared root Linux operating system and they'll get all the software they need to start rendering immediately. Need to add nodes for a high priority job? It just got really fast and easy!

 

 

 

 

 

Tell the developers:

Would you use "virtual" dual xeon render nodes from Amazon EC2 for 45 cents (.45 USD) per hour? No contract, no minimum, no need for your own render farm hardware!
 
Installing a Linux server to control a render farm is too technically demanding for me...
 

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