POWERED BY THE NVIDIA ADA LOVELANCE ARCHITECTURE

NVIDIA ADA Architecture CUDA

2X the speed of the previous generation for single-precision floating-point (FP32) operations provides significant performance improvements for graphics and simulation workflows on the desktop, such as complex 3D computer-aided design (CAD) and computer-aided engineering (CAE).

Third-Generation RT Cores

With over 2X the throughput over the previous generation, third-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 accelerates the rendering of ray-traced motion blur with greater visual accuracy.

4th-Gen Tensor Cores

Fourth-generation Tensor Cores deliver up to 4X the AI compute performance of the previous generation. These Tensor Cores support acceleration of the FP8 precision data type and provide independent floating-point and integer data paths to speed up execution of mixed floating-point and integer calculations.

32GB of GPU Memory

With 32GB of GDDR6 memory, RTX 5000 gives data scientists, engineers, and creative professionals the GPU memory needed to work with large datasets and workloads like rendering, data analytics, and simulation.

Virtualization-Ready

Support for NVIDIA RTX Virtual Workstation (vWS) software allows a personal workstation to be repurposed into multiple high-performance virtual workstation instances, letting remote users share resources to drive high-end design, AI, and compute workloads.

AV1 Encoders

Eighth-generation dedicated hardware encoder (NVENC) with AV1 encoding unlocks new opportunities for streamers, broadcasters, and video conferencing. It’s 40% more efficient than H.264, allowing users streaming at 1080p to increase their resolution to 1440p while running at the same bitrate and quality.