12-bit internal display pipeline (hardware support for 12-bit scanout on supported panels, applications and connection).HDCP 2.2 support over DisplayPort & HDMI connectors.HDR support over DisplayPort 1.4 (SMPTE 2084/2086, BT.DisplayPort to VGA, DisplayPort to DVI (single-link and dual-link) and DisplayPort to HDMI cables (resolution support based on dongle specifications).Support for any combination of four connected displays. NVIDIA GPU Boost™ (automatically improves GPU engine throughput to maximize application performance).Blu-ray dual-stream hardware acceleration (supporting HD picture-in-picture playback).Decode acceleration for MPEG-2, MPEG-4 Part 2 Advanced Simple Profile, H.264, HEVC, MVC, VC1, DivX (version 3.11 and later), and Flash (10.1 and later).64x full scene antialiasing (FSAA)/128x FSAA in SLI Mode. 32-bit per-component floating point texture filtering and blending.16x angle independent anisotropic filtering.Transparent multisampling and super sampling.Up to 32K x 32K texture and render processing.Shader Model 5.1 (OpenGL 4.5 and DirectX 12).NVIDIA ® GigaThread™ engine with 7 async copy engines.Linux ® - Full OpenGL implementation, complete with NVIDIA and ARB extensions (64-bit).Peak Integer Operation (INT8) Performanceġ FP16 matrix multiply with FP16 or FP32 accumulate Supported Platforms Maximize system uptime, seamlessly manage wide-scale deployments and remotely control graphics and display settings for GPUDirect for Video speeds communication between the GPU and video I/O devices by avoiding unnecessary system memoryĬopies and CPU overhead. Unified MemoryĪ single, seamless 49-bit virtual address space allows for the transparent migration of data between the fullĪllocation of CPU and GPU memory. Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC and DirectĬompute to accelerates techniques such as ray tracing, video and image processing, and computation fluid dynamics. NVIDIA ® CUDA ® Parallel Computing Platform Higher performance for both deep learning inference and High-Performance Computing (HPC) applications. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT delivers Software Support Software Optimized for AIĭeep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training timesĪnd higher multi-node training performance. The NVIDIA Quadro RTX 8000 redefines what’s possible. VirtualLink ® providesĬonnectivity to next-generation, high-resolution VR HMDs to let you view your work in the most compelling virtualĮnvironments. Most complex models, building massive architectural datasets, visualizing immense data science workloads, working withĨK movie content in real time, and speeding up high resolution final frame rendering. NVLink technology, the Quadro RTX 8000 is designed to work with the most memory intensive workloads like creating the With 48 GB of GDDR6 memory, scalable to 96 GB with NVIDIA Resulting in over 130 TFLOPS of deep learning performance. The Quadro RTX 8000 features 72 RT cores for real-time ray tracing and 576 Tensor Cores for AI enhanced workflows, Tracing, AI and advanced shading to boost productivity and create amazing content faster than ever before. Creative and technical professionals can now wield the power of hardware-accelerated ray Unparalleled performance and memory capacity to deliver the world’s most powerful graphics card solution for NVIDIA ® Quadro RTX™ 8000, powered by the NVIDIA Turing™ architecture and the NVIDIA RTX™ platform, combines The World’s Most Powerful Ray Tracing GPU
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