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900-5G132-2260-000 NVIDIA RTX 4500 Ada Graphics Card
900-5G132-2260-000 Overview
The 900-5G132-2260-000 NVIDIA RTX 4500 Ada Graphics Card is a professional workstation GPU built on the NVIDIA Ada Lovelace architecture. It features 24GB of ECC GDDR6 memory, 7,680 CUDA cores, and dedicated third-generation RT Cores and fourth-generation Tensor Cores for AI acceleration, ray tracing, and advanced rendering. Designed for engineers, architects, AI developers, and content creators, it delivers exceptional performance for CAD, 3D modeling, simulation, video production, and machine learning workloads. The card supports PCIe 4.0, four DisplayPort 1.4a outputs, AV1 encoding/decoding, and multi-display setups with resolutions up to 8K, making it an excellent choice for demanding professional environments.
9,674.00 AED
Description
| Feature | Specification |
|---|---|
| GPU Architecture | NVIDIA Ada Lovelace |
| Model | NVIDIA RTX 4500 Ada |
| Part Number | 900-5G132-2260-000 |
| Memory | 24GB GDDR6 ECC |
| CUDA Cores | 7,680 |
| Tensor Cores | 240 (4th Generation) |
| RT Cores | 60 (3rd Generation) |
| Memory Interface | 192-bit |
| Memory Bandwidth | 432 GB/s |
| Interface | PCI Express 4.0 x16 |
| Display Outputs | 4 × DisplayPort 1.4a |
| Maximum Resolution | 7680 × 4320 (8K) |
| Maximum Displays | 4 |
| Power Consumption | 210W |
| Cooling | Active, Dual-slot |
| APIs Supported | DirectX 12, OpenGL 4.6, Vulkan 1.3, CUDA |
Frequently Asked Questions
1. What is the NVIDIA RTX 4500 Ada Graphics Card used for?
It is designed for professional workloads such as 3D rendering, CAD, AI development, scientific visualization, engineering simulations, and video production.
2. How much memory does this graphics card include?
The card features 24GB of ECC GDDR6 memory, providing reliability and capacity for demanding professional applications.
3. Does the NVIDIA RTX 4500 Ada support multiple monitors?
Yes. It includes four DisplayPort 1.4a outputs and can drive up to four high-resolution displays simultaneously.
4. Is this 900-5G132-2260-000 GPU suitable for AI and machine learning?
Yes. Fourth-generation Tensor Cores accelerate AI inference, deep learning, and generative AI workloads.
5. What interface and power requirements does this graphics card have?
It uses a PCIe 4.0 x16 interface and has a total board power of 210W, requiring appropriate PCIe power connections.
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