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4X61Q50293 NVIDIA RTX 4000 Ada – 20 GB Graphics Card

SKU: 4X61Q50293 Category: Tags: , , , , Brand:

4X61Q50293 Overview

The 4X61Q50293 NVIDIA RTX 4000 Ada 20GB Graphics Card is a professional workstation GPU designed for engineers, architects, designers, AI developers, and content creators who require exceptional graphics performance in a compact form factor. Based on the NVIDIA Ada Lovelace architecture, it combines advanced RT Cores, Tensor Cores, and CUDA Cores with 20GB of ECC GDDR6 memory to accelerate demanding workflows such as 3D rendering, CAD, simulation, AI inference, and video production. This Lenovo variant is optimized for ThinkStation systems and features a low-profile, dual-slot design suitable for small form factor workstations.

7,395.05 AED

Description

Specification Details
Model NVIDIA RTX 4000 Ada
Lenovo Part Number 4X61Q50293
GPU Architecture NVIDIA Ada Lovelace
Graphics Memory 20GB GDDR6 ECC
Memory Interface 160-bit
Memory Bandwidth Up to 280 GB/s
Interface PCI Express 4.0 x16
Display Outputs 4 × Mini DisplayPort 1.4a
Maximum Resolution Up to 7680 × 4320 (8K)
Ray Tracing 3rd Generation RT Cores
AI Processing 4th Generation Tensor Cores
CUDA Support Yes
Form Factor Low Profile, Dual Slot (SFF)
Cooling Active Blower Fan
Power Consumption 70W (Lenovo SFF version)
Recommended Use CAD, BIM, AI, 3D Rendering, Visualization, Video Editing

Frequently Asked Questions (FAQs)

1. What is the memory capacity of the NVIDIA RTX 4000 Ada Graphics Card?

The card includes 20GB of ECC GDDR6 memory, making it suitable for professional graphics, AI, and large engineering datasets.

2. Is this 4X61Q50293 graphics card suitable for CAD and 3D rendering?

Yes. It is designed for professional workloads including AutoCAD, SOLIDWORKS, Revit, Blender, Maya, and other rendering applications.

3. How many monitors can this GPU support?

The graphics card supports up to four displays through its four Mini DisplayPort 1.4a connectors.

4. Does this graphics card support hardware ray tracing?

Yes. It features third-generation RT Cores for real-time ray tracing and photorealistic rendering.

5. Is the RTX 4000 Ada suitable for AI and machine learning?

Yes. Fourth-generation Tensor Cores accelerate AI inference, deep learning, and generative AI workloads.

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