NVIDIA RTX-Powered Workstations for Every Workflow

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.

 

 

Performance Features

NVIDIA Ampere Architecture

NVIDIA RTX A400 is an efficient, single slot professional solution for CAD, DCC, financial service industry (FSI) and visualization professionals in general looking to reach great performance in a compact form factor. Building upon the major SM enhancements from the Turing GPU, the NVIDIA Ampere architecture enhances ray tracing operations, tensor matrix operations, and concurrent executions of FP32 and INT32 operations.

CUDA Cores

The NVIDIA Ampere architecture-based CUDA cores bring up to 2.5X the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 2D graphics, 3D model development, basic photo and video editing and compute for workloads such as data analysis and general productivity. RTX A400 enables two FP32 primary data paths, doubling the peak FP32 operations.

2nd Generation RT Cores

Incorporating 2nd generation ray tracing engines, NVIDIA Ampere architecture-based GPUs provide incredible ray traced rendering performance. For the first time, NVIDIA is introducing RT Cores into a low profile form factor GPU. A single RTX A400 board can render complex professional models with physically accurate shadows, reflections, and refractions to empower users with instant insight. Working in concert with applications leveraging APIs such as NVIDIA OptiX, Microsoft DXR, and Vulkan ray tracing, systems based on RTX A400 will power truly interactive design workflows to provide immediate feedback for unprecedented levels of productivity. RTX A400 is up to 4X faster in rendering performance compared to the previous generation. This technology also speeds up the rendering of ray-traced motion blur for faster results with greater visual accuracy.

3rd Generation Tensor Cores

Purpose-built for design and productivity applications, RTX A400 includes enhanced Tensor Cores as part of the Ampere GPU architecture that accelerate more datatypes that deliver up to 2.5X the generative AI performance compared to the previous generation. 3rd-gen Tensor Cores will accelerate the TF32 and BFloat16 precision modes. Independent floating-point and integer data paths allow more efficient execution of workloads using a mix of computation and addressing calculations.

PCIe Gen 4

RTX A400 supports PCI Express Gen 4, which provides double the bandwidth of PCIe Gen 3, improving data-transfer speeds from CPU memory for data-intensive tasks like AI and data analysis.

Higher Speed GDDR6 Memory

Equipped with 4GB GDDR6 memory and faster memory clock, the RTX A400 provides an ideal memory footprint to address datasets and models in latency-sensitive professional applications and at volume.

5th Generation NVDEC Engine (1)

NVDEC is well suited for transcoding and video playback applications for real-time decoding. The following video codecs are supported for hardware-accelerated decoding: MPEG-2, VC-1, H.264 (AVCHD), H.265 (HEVC), VP8, VP9, and AV1.

7th Generation NVENC Engine

NVENC can take on the most demanding 4K or 8K video encoding tasks to free up the graphics engine and the CPU for other operations. The RTX A400 provides better encoding quality than software-based x264 encoders.

Graphics Preemption

Pixel-level preemption provides more granular control to better support time-sensitive tasks such as VR motion tracking.

Compute Preemption

Preemption at the instruction level provides finer-grain control over compute tasks to prevent long-running applications from either monopolizing system resources or timing out.

NVIDIA RTX IO

Accelerating GPU-based lossless decompression performance by up to 100x and 20x lower CPU utilization compared to traditional storage APIs using Microsoft’s DirectStorage for Windows API. RTX IO moves data from the storage to the GPU in a more efficient, compressed form, improving I/O performance.

 

 

Display Features

NVIDIA® Mosaic Technology

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.

 

 

DisplayPort 1.4a

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.

NVIDIA® RTX™ Desktop Manager

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.

Ultra-High-Resolution Desktop Support

Get more Mosaic topology choices with high resolution displays devices with a 32K Max desktop size.

 

 

Software Support

NVIDIA® RTX™ Experience

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

https://www.nvidia.com/en-us/design-visualization/software/rtx-experience/

Software Optimized for AI

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.

NVIDIA® CUDA® Parallel Computing Platform

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.

Unified Memory

A single, seamless 49-bit virtual address space allows for the transparent migration of data between the full allocation of CPU and GPU memory.

NVIDIA Enterprise-Management Tools

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 [email protected] for details on availability.

 

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Source : Leadtek NVIDIA RTX A400

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