NVIDIA RTX 4000 SFF Ada

NVIDIA

NVIDIA RTX 4000 SFF Ada

Key Features

Four mini DisplayPort 1.4a
AV1 encode and decode support
DisplayPort with audio
3D stereo support with stereo connector
NVIDIA® GPUDirect® for Video support
NVIDIA GPUDirect remote direct memory access (RDMA) support
NVIDIA Quadro® Sync II compatibility
NVIDIA RTX Experience™
NVIDIA RTX Desktop Manager software
NVIDIA RTX IO support
HDCP 2.2 support
NVIDIA Mosaic technology

The NVIDIA RTX™ 4000 SFF Ada Generation packs a punch with the features, capabilities, and performance demanded by professionals— all in a compact design. Powered by the NVIDIA Ada Lovelace architecture, the RTX 4000 SFF is a compact powerhouse, combining third-gen RT Cores, fourth-gen Tensor Cores, and next-gen CUDA® cores with 20 gigabytes (GB) of graphics memory for excellent rendering, AI, graphics, and compute workload performance.

Powered by NVIDIA Ada Lovelace Architecture

NVIDIA CUDA Cores

Double-speed processing 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.

Fourth-Generation 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.

48 Gigabytes (GB) of GPU Memory

With 48GB GDDR6 memory, the RTX 6000 gives data scientists, engineers, and creative professionals the large memory necessary to work with massive datasets and workloads like rendering, data science, 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, enabling remote users to share resources to drive high-end design, AI, and compute workloads.

PCIe Gen 4

PCI Express Gen 4 support provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data science.

GPU Memory	20GB GDDR6
Memory interface	160 bit
Memory bandwidth	280 GB/s
Error correction code (ECC)	Yes
NVIDIA Ada Lovelace Architecture-Based CUDA Cores	6,144
NVIDIA Fourth-Generation Tensor Cores	192
NVIDIA Third-Generation RT Cores	48
Single-precision performance	19.2 TFLOPS
RT Core performance	44.3 TFLOPS
Tensor performance	306.8 TFLOPS
NVIDIA NVLink	No
System interface	PCIe 4.0 x16
Power consumption	Total board power: 70 W
Thermal solution	Active
Form factor	2.7” H x 6.6” L, dual slot
Display connectors	4x Mini DisplayPort 1.4a
Max simultaneous displays	4x 4096 x 2160 @ 120 Hz 4x 5120 x 2880 @ 60 Hz 2x 7680 x 4320 @ 60 Hz
Encode/decode engines	2x encode, 2x decode (+AV1 encode and decode)
VR ready	Yes
Graphics APIs	DirectX 12, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3
Compute APIs	CUDA 11.6, OpenCL 3.0, DirectCompute

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