NVIDIA RTX 4000 SFF ADA

POWERED BY THE NVIDIA AMPERE ARCHITECTURE

NVIDIA ADA Architecture CUDA

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

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.

4rd-Gen Tensor Cores

Fourth-generation Tensor Cores provide faster AI compute performance, delivering more than 2X the performance of the previous generation. These new 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, the RTX 4000 SFF gives data scientists, engineers, and creative professionals the large memory necessary to work with large datasets and workloads like rendering, data science, and simulation.

AV1 Encoders

Ada architecture-based RTX 4000 SFF boasts eighth-generation dedicated hardware encoder (NVENC) with AV1 encoding, unlocking new opportunities for streamers, broadcasters, and video conferencing. It’s 40% more efficient than H.264, allowing users streaming at 1080p to increase their stream resolution to 1440p while running at the same bitrate and quality.