Cluster and Rendering Servers

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What's a VEO-CL100 cluster and rendering server?
Those servers are perfect for high calculation program needs, like programmers, 3D architecture, video 3D animation, video games, etc. Our VEO-CL100 cluster and rendering system are designed for medium to large-scale enterprise and hardware high level rendering tasks. They are ideal to scale out datacenters up to a 1000TF of computing power delivering significantly reduced TCO, energy-efficient (green) architecture and a complete lights-out management system to meet the demands of high capacity and enterprise production system availability.


Parallel cluster rendering (or Distributed rendering) is a method used to improve the performance of computer graphics creation software.

The rendering of graphics requires massive computational resources for complex objects like medical visualization, iso-surface generation, and some CAD applications.

Traditional methods like ray tracing, 3D textures, etc., work extremely slowly in simple machines. Furthermore, virtual reality and visual simulation programs, which render to multiple display systems concurrently, are applications for cluster parallel rendering.

Parallel rendering divides the work to be done and processes it in cluster parallel. For example, if we have a non-parallel ray-casting application, we would send rays one by one to all the pixels in the view frustum.

Instead, we can divide the whole frustum into some x number of parts and then run that many threads or processes to send rays in parallel to those x tiles. This is parallel rendering.

High-availability clusters (also known as failover clusters) are implemented primarily for the purpose of improving the availability of services which the cluster provides.

HA cluster implementations attempt to manage the redundancy inherent in a cluster to eliminate single points of failure.

For applications that require higher reliability and better system management delivering a balanced highly-available supercomputer cluster building block for a wide range of HPC applications such as Computational Fluid Dynamics, aerospace and automotive engineering simulations, petroleum exploration and production, scientific visualization for oil discovery and recovery, research in seismic, weather and environmental sciences, defence and classified research production.

Our storage cluster and rendering servers can also have the purpose of providing a location for the storage of computer files (such as documents, sound files, photographs, movies, images, databases, data and any other computer files.) that can be accessed by the workstations that are attached to the computer network or to other computers on the same network.

Our servers allow users to share information over a network without having to physically transfer files by floppy diskette or some other external storage device. In a more sophisticated network, our cluster and rendering servers might be a dedicated network-attached storage (NAS) device that also serves as a remote hard disk drive for other computers, allowing anyone on the network to store files on it as if to their own hard drive.

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Cloud Computing

Storage: 1600 TB +