Graphic Cards | 29th Jul 2010
On top of the new NVIDIA 3D Vision Pro solution, NVIDIA has introduced a whole lot of Quadro GPUs based on the Fermi architecture at the 2010 SIGGRAPH conference in Los Angeles.
The Quadro Plex 7000 array, and the new Quadro GPUs – Quadro 6000, Quadro 5000, Quadro 4000 and Quadro 5000M – feature NVIDIA Scalable Geometry Engines and NVIDIA Application Acceleration Engines (AXE) to deliver performance up to five times faster for 3D applications and up to eight times faster for computational simulation.
"For over a decade Quadro has been the choice of professionals around the world. We've also built Engines like AXE to enable the creation of next-gen applications," said Jeff Brown, General Manager, Professional Solutions Group, NVIDIA. "When you couple these technologies with our Fermi architecture, the result is a new Quadro family that's exponentially better than anything the market has ever seen."
The new Quadro GPUs are also the world's first professional graphics solutions with ECC (Error Correction Codes) memory and fast, IEEE double precision floating point performance. Supported industry standards include OpenGL 4.1, DirectX 11, DirectCompute and OpenCL. In addition leveraging NVIDIA CUDA parallel processing architecture, all Quadro products are compatible with the new NVIDIA 3D Vision Pro solution.
"In high-end visual effects development, fast iteration is essential," said Olivier Maury, Research and Development Engineer, Industrial Light & Magic (ILM). "By using NVIDIA Quadro GPUs, we are seeing up to eight iterations each day of complex fire, dust and air simulations, representing speed improvements of 10 to 15 times. NVIDIA CUDA and Quadro GPUs have entirely changed the way we solve complex visual effects challenges."
The Quadro 4000 and Quadro 5000 are available immediately, with the Quadro 6000 and Quadro Plex 7000 scheduled for arrival this fall. Mobile workstations based on the Quadro 5000M will be available in Q3 2010 from HP and Dell.
To learn more about the new Quadro solutions, visit www.nvidia.com/page/pg_57467.html.
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