![]() Quadro GPUs are designed, built, and tested by NVIDIA specifically for professional workstations powering more than 150 professional applications across a broad range of industries, including manufacturing, media and entertainment, sciences, and energy.įor maximum application performance, add an NVIDIA Tesla® K20 co-processor to your workstation and experience the power of NVIDIA Maximus technology. The NVIDIA Kepler architecture also introduces the concept of bindless textures, enabling the GPU to reference textures directly in memory eliminating the limit on the number of unique textures that can be used to render a scene. These include substantial increases in per-clock throughput of key graphics operations that combine to deliver a new level of performance and power efficiency. The next-generation NVIDIA Kepler architecture is built on a breakthrough streaming multiprocessor (SM) design, called SMX, providing several important architectural changes. The Quadro K5200 has a single 6-pin power connector and seems to consume no more power than its predecessor in practice. The card has a specified power draw of 150 watts, which is a mere 28 watts above the Quadro K5000’s level. NVIDIA's latest technologies (Quadro Sync, Quadro Mosaic, and GPUDirect), coupled with a Quadro K5000, give you an easy way to perform image synchronization and resolution scaling of a synchronized display surface with multiple projectors or displays. The rather low clock rates of the Quadro K5200 make it quite an economic solution. This makes it easy to deploy multiple displays across a desktop, build an expansive digital signage wall, or create a sophisticated stereoscopic 3D CAVE environment. You can now drive up to four displays simultaneously. The NVIDIA Quadro K5000 GPU leverages the NVIDIA Kepler architecture to deliver the world's most compatible and power efficient solution for accelerating professional applications.Ĭount on the Quadro K5000 for exceptional design interaction with complex models, richer scene details and effects for content creation, and faster results when processing massive datasets for scientific exploration.
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