Description
Performance for Endless Possibilities
The NVIDIA RTX 5000 Ada Generation is purpose-built for today's professional workflows. Built on the NVIDIA Ada Lovelace architecture, it combines 100 third-generation RT Cores, 400 fourth-generation Tensor Cores, and 12,800 CUDA cores with 32GB of graphics memory to accelerate rendering, AI, graphics, and compute workloads. RTX 5000-powered workstations equip you for success in today's demanding business landscape.
Performance And Usability Features
NVIDIA Ada Lovelace Architecture
Experience fast, interactive performance-powered by the latest NVIDIA Ada Lovelace architecture-based GPU-with ultra-fast, onboard graphics memory technology and optimized software drivers for professional applications. The Shader Execution Reordering (SER) system allows on-the-fly organization and reordering of workloads, grouping similar performing threads so the streaming multiprocessor (SM) and RT Core can operate more efficiently.
CUDA Cores
The NVIDIA Ada Lovelace architecture-based CUDA cores deliver up to 2X the single-precision floating-point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and compute for workloads like desktop simulation for CAE.
Third-Generation RT Cores
Third-generation RT Cores provide up to 2X the throughput of the previous generation and the ability to run ray tracing with either shading or denoising capabilities concurrently. This accelerates renders for M&E content creation, AECO design evaluations, and manufacturing virtual prototyping. Third-generation RT Cores deliver up to 2X the ray-tracing performance over the previous generation, delivering groundbreaking performance for photorealistic rendering. Enhanced RT Cores combined with new SER technology dynamically reorder inefficient workloads, dramatically improving shader performance to accelerate end-to-end ray-traced image rendering performance.
Fourth-Generation Tensor Cores
Fourth-generation Tensor Cores provide up to 5X faster AI training performance than the previous generation with FP16 precision. Support for the new FP8 data format for inference provides more than 5X faster performance than the previous generation and reduces data memory usage by half (compared
Additional information
Weight | 0.0 g |
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