![]() ![]() This cooling configuration can be used in crowded workstation environments with multiple GPUs or where space between computer components can be a concern, as hot air is not recirculated back into the case. This cooler uses a radial fan to force air through the card's heatsink and out through the rear of the case. The DVI port can be used for connecting to legacy hardware while separately available adapters can be used with this card to drive other kinds of displays and projectors.įor cooling, the P6000 uses a blower-style cooler. DisplayPort 1.4 support allows this card to drive UHD 5K displays as well. Up to four monitors can be simultaneously supported by a single card, without any extra hardware, to create high-resolution video walls with your workstation or for more desktop real-estate to increase productivity. The output panel on this card features four DisplayPort terminals and a dual-link DVI-D port. VR and VFX workflows benefit from the massively parallel GPU and large frame buffer. Using supported APIs and CUDA, that computing performance can translate into high resolution and realistic real-time 2D and 3D graphics rendering or improved computing speed with hardware acceleration. Based on NVIDIA's 16nm Pascal architecture, the Quadro P6000 features 2560 CUDA cores coupled to 24GB of VRAM with a 384-bit memory bus providing a maximum of 12 TFLOPS of single-precision computing power. All our new and refurbished GPUs come with a Techbuyer Three Year Warranty as standard.Designed for generating high-resolution graphics and large datasets for VR, graphic design, and advanced calculations, HP's Quadro P6000 Graphics Card can beef up your workstation to increase performance. Our testing procedures ensure that every piece of equipment we refurbish is resold in excellent condition and performs to its maximum capabilities. ![]() ![]() Thorough testing process ensures excellent performanceĮvery refurbished GPU we sell undergoes a thorough testing process, carried out by our experienced testing engineers who have over a decade of experience in the field. NVIDIA accelerators can be configured and monitored by HPE Insight Cluster Management Utility (CMU). This GPU is specifically designed to enable rich graphics in virtualised environments. Contact LEAP to learn how the NVIDIA Quadro P6000 can accelerate your engineering simulation solve. Increased performance to solve problems fasterīy Co-locating the NVIDIA Quadro or NVIDIA GRID GPUs with computational servers, large data sets can be shared, dramatically improving display refresh rates. GPU processing solutions by NVIDIA at LEAP Australia. The thousands of NVIDIA CUDA cores of each accelerator allow it to divide large computing or graphics tasks into thousands of smaller tasks that can be run concurrently, thus enabling much faster simulations and improved graphics fidelity for extremely demanding 3D models. Designed for power-efficient, high performance supercomputing, NVIDIA Accelerators deliver dramatically higher application acceleration than a CPU-only approach for a range of scientific, deep learning and commercial applications. Traditional CPU technology is no longer able to keep up with greater computational and graphics requirements as large, complex computational models become more commonplace. NVIDIA accelerators seamlessly integrate with HPE ProLiant Servers to improve performance and dramatically reduce completion time for parallel tasks, offering quicker time to solutions.Ĭhoose a GPU to excel your large compute and graphic requirements This NVIDIA accelerator can support 64 desktops per board and 128 desktops per server, giving your business the power to deliver great experiences to all your employees at an affordable cost. The NVIDIA Tesla M10 GPU accelerator works with NVIDIA GRID software to provide high user density for virtualised desktops and applications. Seamlessly integrates with HPE ProLiant Servers to improve performance HPE NVIDIA Quadro P6000 Graphics Card 24GB SpecificationĬompatibility – HPE ProLiant D元80 Gen9 and HPE Synergy 480 Gen10 ![]()
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