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900-5G192-2240-000-01 NVIDIA RTX 2000 ADA 16GB GDDR6 2816 Graphic Card

SKU: 900-5G192-2240-000-01 Category: Tags: , , , , Brand:

900-5G192-2240-000-01 Overview

The 900-5G192-2240-000-01 NVIDIA RTX 2000 Ada 16GB GDDR6 Graphics Card is a professional workstation GPU built on NVIDIA’s Ada Lovelace architecture, delivering an excellent balance of AI acceleration, 3D rendering, CAD performance, and energy efficiency. Equipped with 16GB ECC GDDR6 memory, 2,816 CUDA cores, and dedicated RT and Tensor Cores, it is designed for engineers, architects, designers, content creators, and AI developers.

2,439.00 AED

Description

SpecificationDetails
ModelNVIDIA RTX 2000 Ada
Part Number900-5G192-2240-000-01
GPU ArchitectureAda Lovelace
CUDA Cores2,816
Memory16GB ECC GDDR6
Memory Interface128-bit
Memory Bandwidth224 GB/s
InterfacePCIe 4.0 x8
Display Outputs4 × Mini DisplayPort 1.4a
Maximum Resolution7680 × 4320 (8K)
CoolingActive Blower
Slot SizeDual Slot
Maximum Power70W
External PowerNot Required
Recommended UseCAD, BIM, AI, Simulation, 3D Rendering, Video Editing, Visualization

Frequently Asked Questions

1. What is the NVIDIA RTX 2000 Ada Graphics Card used for?

It is designed for professional workloads including CAD, 3D modeling, AI inference, video editing, engineering simulations, and visualization.

2. Does the RTX 2000 Ada require an external power connector?

No. It operates with a maximum power consumption of only 70W and draws all required power directly from the PCIe slot.

3. How much memory does this graphics card have?

The card includes 16GB of ECC GDDR6 memory, providing excellent reliability and performance for professional applications.

4. How many monitors can it support?

It supports up to four displays through four Mini DisplayPort 1.4a outputs, including support for up to dual 8K or four 5K monitors.

5. Is the RTX 2000 Ada suitable for AI and machine learning?

Yes. Dedicated Tensor Cores accelerate AI inference, deep learning, and generative AI workloads while RT Cores improve ray-traced rendering performance.

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