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VCNRTX4000ADALP-B PNY NVIDIA RTX 4000 Ada Graphic Card 20GB GDDR6 Memory

SKU: VCNRTX4000ADALP-B Category: Tags: , , , , Brand:

VCNRTX4000ADALP-B Overview

The VCNRTX4000ADALP-B PNY NVIDIA RTX 4000 Ada Graphic Card is a professional workstation GPU designed for engineers, architects, AI developers, designers, and content creators who require exceptional graphics performance and reliability. Built on the NVIDIA Ada Lovelace architecture, it delivers real-time ray tracing, AI acceleration, and advanced visualization capabilities while maintaining an efficient power profile. With 20GB of ECC GDDR6 memory, this graphics card is ideal for CAD, 3D rendering, simulation, video production, and AI inference workloads.

5,097.63 AED

Description

SpecificationDetails
ModelPNY NVIDIA RTX 4000 Ada
Part NumberVCNRTX4000ADALP-B
GPU ArchitectureNVIDIA Ada Lovelace
CUDA Cores6,144
Tensor Cores192 (4th Generation)
RT Cores48 (3rd Generation)
Memory20GB GDDR6 ECC
Memory Interface160-bit
Memory BandwidthUp to 360 GB/s
InterfacePCI Express 4.0 x16
Display Outputs4 × DisplayPort 1.4a
Maximum DisplaysUp to 4 Displays
Power Consumption130W
CoolingActive Blower Fan
Form FactorSingle-Slot, Full Height
API SupportDirectX 12, OpenGL 4.6, Vulkan
Operating SystemsWindows 10/11, Linux

Frequently Asked Questions

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

The graphics card features 20GB of ECC GDDR6 memory, making it suitable for large CAD models, AI workloads, and professional rendering tasks.

2. Which professional applications is this VCNRTX4000ADALP-B GPU designed for?

It is optimized for CAD, BIM, 3D modeling, rendering, video editing, simulation, scientific visualization, and AI development using certified professional drivers.

3. How many monitors can the RTX 4000 Ada support?

The card supports up to four displays through four DisplayPort 1.4a connectors, including high-resolution 4K and 8K displays.

4. Does the graphics card support real-time ray tracing?

Yes. It includes third-generation RT Cores that accelerate realistic lighting, shadows, and reflections in professional visualization applications.

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

Yes. Its fourth-generation Tensor Cores accelerate AI inference, deep learning, generative AI, and other GPU-computing workloads.

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