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August 13, 2012

NVIDIA launches new Maximus workstation platform

The technology deployed in the Maximus will automatically assign visualisation and simulation or rendering work to the accurate processor

By CBR Staff Writer

NVIDIA has launched a new Kepler GPU architecture featured Maximus workstation platform, which is offered with Quadro K5000 or with Tesla K20 GPUs.

The new Kepler architecture supported GPU platform is expected to enhance performance and efficiency of the workstation used by manufacturing, visual effects and oil exploration professionals.

The company has earlier launched a Maximus platform, which allows the workstation users to simultaneously perform complex analysis and visualisation on a single machine.

Initially, Maximus was a single system which would manage interactive graphics and the compute-intensive number crunching required to simulate or render them, further resulting in accelerated workflows.

In the new Maximus, compute work is allocated for running the new NVIDIA Tesla K20 GPU computing accelerator, which will free up the new NVIDIA Quadro K5000 GPU to handle graphics functions, the company said.

The technology deployed in the Maximus will automatically assign visualisation and simulation or rendering work to the accurate processor.
Features of NVIDIA’s new Quadro K5000 GPU include bindless textures, which allow the users to access over 1 million textures directly in memory while reducing CPU overhead.

The FXAA/TXAA film-style anti-aliasing feature will enhance image quality, while its frame buffer capacity is increased to 4GB and a new PCIe-3 bus interconnect has been added which speeds up data movement by 2 times over PCIe-2.

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A new display engine which can drive up to four displays at the same time with a single K5000 and a display port 1.2 supports resolutions of up to 3840×2160 @60Hz.

The another variant NVIDIA Tesla K20 GPU features SMX streaming multiprocessor technology which offers for up to a 3 times performance per watt advantage, while the dynamic parallelism and hyper-Q GPU technologies ease parallel programming and improve performance.

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