NVIDIA Launches Quadro M6000 GPU
The technology has 24GB of memory and 3072 CUDA cores.
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March 22, 2016
NVIDIA has introduced the NVIDIA Quadro M6000 24GB, a GPU (graphics processing unit) that has increased memory and speed for high-performance rendering and analysis applications. It is based on the Maxwell architecture and has two times memory capacity and five times render performance of previous offerings.
According to NVIDIA, the new Quadro M6000 24GB allows artists, animators and editors to work up to six times faster on their most complex simulations and interactive visual effects — even those with multiple layers and large numbers of 3D elements. It can all fit in the onboard graphics memory, a press release states. It has 24GB of memory, 3072 CUDA (compute unified device architecture) cores.
With the addition of the M6000 24GB, the Quadro Visual Computing Platform offers users the most advanced GPU- accelerated rendering capabilities, display technologies and software tools for the creation of the ultimate design workspace and immersive environments. Features of the platform include:
- GPU-powered rendering enables artists to visualize creations with photorealistic image quality and predict their designs more accurately with NVIDIA Iray using physically based lights and materials.
- VR-ready support for head-mounted displays, enabling developers to more efficiently build and users to experience virtual reality creations.
- Quadro Sync, Mosaic and Warp/Blend technologies, for image synchronization and resolution scaling of a synchronized display surface with multiple projectors or displays.
“Our collaboration with NVIDIA enables us to provide users with unsurpassed throughput in processing of huge volumes of data for on-the-fly decompression, visualization of, and attribute calculation on seismic data, and construction and display of giga-cell reservoir models. With the latest Quadro M6000 24 GB GPU, our customers can visualize more data in real time and process seismic volumes and reservoir models with unprecedented speed,” says Robert Bond, product manager for Interpretation at Paradigm.
For more information, visit NVIDIA.
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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DE EditorsDE’s editors contribute news and new product announcements to Digital Engineering.
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