The world of professional visualization is evolving rapidly. Advanced requirements like real-time ray tracing, AI, compute, engineering simulation, and immersive VR are common across industries, while millions of professionals have shifted to working from home. The NVIDIA RTX A6000 delivers everything designers, engineers, and artists need to meet today’s demands from their desktop. Built on the NVIDIA Ampere architecture, the RTX A6000 combines 84 second-generation RT Cores, 336 third-generation Tensor Cores, and 10,752 CUDA cores with 48 GB of graphics memory for unprecedented rendering, AI, graphics, and compute performance. Connect two RTX A6000s with NVIDIA NVLink™ for 96 GB of combined GPU memory. And access the power of your workstation from anywhere with remote-access software. Engineer amazing products, design state-of-the art buildings, drive scientific breakthroughs, and create immersive entertainment with the world’s most powerful graphics solution.
NVIDIA Quadro RTX A6000 - features
NVIDIA Ampere Architecture-Based CUDA Cores
Double-speed processing for single-precision floating point (FP32) operations and improved power efficiency provide significant performance improvements for graphics and simulation workflows, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE), on the desktop.
Second-Generation RT Cores
With up to 2X the throughput over the previous generation and the ability to concurrently run ray tracing with either shading or denoising capabilities, second-generation RT Cores deliver massive speedups for workloads like photorealistic rendering of movie content, architectural design evaluations, and virtual prototyping of product designs. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.
Third-Generation Tensor Cores
New Tensor Float 32 (TF32) precision provides up to 5X the training throughput over the previous generation to accelerate AI and data science model training without requiring any code changes. Hardware support for structural sparsity doubles the throughput for inferencing. Tensor Cores also bring AI to graphics with capabilities like DLSS, AI denoising, and enhanced editing for select applications.
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