PNY VCNRTX4000ADALPSY-PB NVIDIA RTX 4000 SFF ADA + HW SYNC Graphic Card

Package Contents

• NVIDIA RTX 4000 SFF Ada Generation professional graphics card
• NVIDIA RTX Quick Start Guide
• NVIDIA RTX Support Guide
• 4x mDP to DP adapters
• NVIDIA Quadro Sync II board
• Four 12″ (30.5 cm) sync to GPU or sync-to-sync connector cables
• Two 24″ (61 cm) sync to GPU or sync-to-sync connector cables
• Printed NVIDIA Quadro Sync II Quick Start Guide

Overview

Power for Endless Performance

In recent years, the demand for smaller footprint workstations has been skyrocketing, fueled by an array of factors, including cutting-edge hardware advancements, the extreme miniaturization of components, an increase in remote and mobile workforces, and the need for more energy efficient solutions suited for space available in modern offices and data centers. To meet this growing demand, NVIDIA has introduced the NVIDIA RTX™ 4000 SFF Ada Generation, the most powerful GPU on the market for Small Form Factor (SFF) workstations. Built on the revolutionary NVIDIA Ada Lovelace GPU architecture, the RTX 4000 SFF Ada brings new levels of performance, features, and capabilities to compact workstations, continuing to drive the evolution of visual computing for professionals. Designed for the needs of artists, architects, designers, and engineers across industries, the RTX 4000 SFF Ada is the ultimate compact computing solution to help you take your work to the next level

The NVIDIA Quadro Sync II board synchronizes up to 4 RTX NVIDIA RTX 4000 SFF Ada boards for 16 synchronized displays per Sync II, and with two Sync II cards per system, up to 8 RTX 4000 SFF Ada GPUs per chassis, for a total of 32 synchronized displays per system. The NVIDIA Quadro Sync II, combined with NVIDIA RTX 4000 SFF Ada powered graphics, sets an high price/performance standard for professional synchronized display deployments requiring unparalleled rendering and graphics performance, all with breakthrough possibilities real-time ray tracing and AI can provide.

NVIDIA Ada Lovelace Architecture

NVIDIA RTX 4000 SFF Ada is the most powerful dual slot, low profile workstation GPU offering high-performance, real-time ray tracing, AI-accelerated compute, and professional graphics rendering, all of this in a compact design with unmatched performance. Building upon the major SM enhancements from the Ada Lovelace GPU, the NVIDIA Ada Lovelace architecture provides more cores, higher clocks, and a larger L2 cache for more performance to enhance ray tracing operations, tensor matrix operations, and frame rates with DLSS 3.0.

CUDA Cores

The NVIDIA Ada Lovelace architecture-based CUDA Cores offer more than 2X the single-precision floating point (FP32) throughput compared to the previous generation, providing significant performance improvements for graphics workflows such as 3D model development and compute for workloads such as desktop simulation for computer-aided engineering (CAE). The NVIDIA RTX 4000 SFF Ada enables two FP32 primary data paths, doubling the peak FP32 operations.

Third Generation RT Cores

Incorporating 3rd generation ray tracing engines, NVIDIA Ada Lovelace architecture-based GPUs provide incredible ray-traced rendering performance. A single RTX 4000 SFF Ada 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 the RTX 4000 SFF Ada will power truly interactive design workflows to provide immediate feedback for unprecedented levels of productivity. The NVIDIA RTX 4000 SFF Ada features up to 2X faster ray-triangle intersection throughput compared to the previous generation.

Fourth Generation Tensor Cores

Specialized for deep learning matrix multiply and accumulate math operations at the heart of neural network training and inferencing functions, the RTX 4000 SFF Ada includes enhanced Tensor Cores that accelerate more data types and still support the Fine-Grained Structured Sparsity feature that delivers more tha