NVIDIA Delivers 3D Accelerator for Remote & Distributed Visualization

By DE Editors

NVIDIA Corp. (Santa Clara, CA) introduced its new NVIDIA Quadro Plex 2200 S4 Visual Computing System (VCS), described as the world’s fastest 3D accelerator for remote graphics visualization and rendering,  containing four Quadro FX 5800 GPUs.

Designed to address the demanding remote graphics and offline rendering challenges, the Quadro Plex 2200 S4 VCS (available in December 2008 at a MSRP of $14,995) is available in a standard 1U form factor for large-scale server deployment delivering visual compute density for oil and gas exploration, medical imaging,  and styling and design applications.

Quadro Plex 2200 S4 enables graphics-intensive, high-density visual computing and scales to meet the most demanding professional applications requirements. Additional features include 16GB total frame buffer; breakthrough visual compute density;  NVIDIA CUDA parallel computing processor; high speed, PCI Express data transfer; and highest color fidelity.

NVIDIA also announced the NVIDIA Quadro FX 5800 Graphics Card (MSRP of $3499), featuring CUDA massively parallel processing architecture. The Quadro FX 5800 graphics card can rapidly visualize and interpret massive datasets that until now were unattainable on a workstation graphics board. Offering up to 240 CUDA programmable parallel core and the industries first 4GB of graphics memory, the Quadro FX 5800 graphics card is suited for oil and gas exploration, medical imaging, styling and design, and scientific visualization.

NVIDIA also released a new NVIDIA NVScale 1.0 SDK (free download),  a toolset that allows developers to span all the GPUs seen by host system and easily scale application performance for large model rendering. The NVScale,  combined with the multi-GPU visualization on the four Quadro FX 5800 GPUs of the Quadro Plex 2200 S4, allows models to be accelerated up to 16-times faster,  processing 1.2 giga triangles per second. This advanced performance enables massive datasets, which were previously thought to be too large for visualization, to be loaded and manipulated in real time.

For information on NVIDIA Quadro technologies and products, please visit NVIDIA.

Sources:  Press materials received from the company and additional information gleaned from the company’s website.