POWERED BY THE NVIDIA ADA LOVELANCE ARCHITECTURE

NVIDIA ADA Architecture CUDA

1.5X 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 up to 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 3X the AI 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.

20GB of GPU Memory

With 20GB GDDR6 memory, RTX 4000 gives designers, engineers, and creative professionals the large memory needed to work with large models, datasets and workloads like rendering, product design, and simulation.

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 bit rate and quality.