The NVIDIA RTX™ A400, built on the NVIDIA Ampere GPU architecture, brings the power of AI and ray-tracing acceleration into the hands of more professionals. Featuring 6 second-generation RT Cores, 24 third-generation Tensor Cores, 768 CUDA® cores, and 4GB of GDDR6 graphics memory, the RTX A400 ensures AI-powered workflows and stunning ray-traced visuals are delivered with unprecedented performance in a space-saving design. Plus, you can connect up to four native displays to expand your visual horizons. With its compact form factor, the RTX A400 fits effortlessly into any workstation, providing the necessary performance and capabilities for today’s professional workflows without compromising on efficiency or workspace.
Transparently scale the desktop and applications across up to 4 GPUs and 16 displays from a single workstation while delivering full performance and image quality.
Support up to four 5K monitors @ 60Hz per card. RTX A400 supports HDR color for 4K @ 60Hz for 10/12b HEVC decode and up to 4K @ 60Hz for 10b HEVC encode. Each DisplayPort connector can drive ultra-high resolutions of 4096x2160 @ 120 Hz with 30-bit color.
Gain unprecedented end-user control of the desktop experience for increased productivity in single large display or multi-display environments, especially in the current age of large, widescreen displays.
Get more Mosaic topology choices with high resolution displays devices with a 32K Max desktop size.
NVIDIA RTX Experience delivers a suite of productivity tools to your desktop workstation, including desktop recording in up to 8K, automatic alerts for the latest NVIDIA RTX Enterprise driver updates, and access gaming features. The application is available for download here
Deep learning frameworks such as Caffe2, MXNet, CNTK, TensorFlow, and others deliver dramatically faster training times and higher multi-node training performance. GPU accelerated libraries such as cuDNN, cuBLAS, and TensorRT delivers higher performance for both deep learning inference and High-Performance Computing (HPC) applications.
Natively execute standard programming languages like C/C++ and Fortran, and APIs such as OpenCL, OpenACC and Direct Compute to accelerates techniques such as ray tracing, video and image processing, and computation fluid dynamics.
A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.
Maximize system uptime, seamlessly manage wide-scale deployments and remotely control graphics and display settings for efficient operations.
1 This feature requires implementation by software applications, and it is not a stand-alone utility. Please contact rtxprohelp@nvidia.com for details on availability.
GPU Architecture | NVIDIA Ampere Architecture |
CUDA Cores | 768 |
NVIDIA Tensor Cores | 24 |
NVIDIA RT Cores | 6 |
Single-Precision Performance1 | 2.7 TFLOPS |
RT Core Performance1 | 5.3 TFLOPS |
Tensor Performance1 | 21.7 TFLOPS2 |
GPU Memory | 4 GB GDDR6 |
Memory Interface | 64-bit |
Memory Bandwidth | 96 GB/s |
Max Power Consumption | 50W |
Graphics Bus | PCI Express 4.0 x83 |
Display Connectors | mDP 1.4a (4) |
Form Factor | 2.7” H x 6.4” L Single Slot |
Product Weight | 140 g (Low Profile Bracket) 146 g (ATX Bracket) |
Thermal Solution | Active Fan |
NVENC | NVDEC | 1x | 1x (+AV1 decode) |
1Peak rates are based on GPU boost clock
2Effective TOPS/TFLOPS using the new sparsity feature
3RTX A400 utilizes a full length PCIe Gen 4 x8 interface.