NVIDIA QUADRO RTX 4000 Graphics Card
ETB 115,559.00ETB 121,339.00 (-5%)
- Brand: NVIDIA
- GPU Memory: 8GB GDDR6
- Memory Bandwidth: Up to 416 GB/s
- Max Power Consumption: 160 W
- Graphics Bus: PCI Express 3.0 x16
- Thermal: Active
- CUDA Cores: 2304
- Tensor Cores: 288
- RT Cores: 36
- Support: Free 24/7 tech support
Description
Are you looking to elevate your graphics performance? The NVIDIA RTX 4000 8GB GDDR6 Graphics Card is designed to tackle even the most challenging tasks in fields like architecture, engineering, construction (AEC), digital content creation (DCC), artificial intelligence (AI), and virtual reality (VR). Packed with 8 GB of GDDR6 memory and a robust 256-bit memory interface, it delivers an impressive memory bandwidth of up to 416 GB/s. With 2,304 NVIDIA CUDA Cores, alongside 288 Tensor Cores and 36 RT Cores, this graphics card significantly boosts rendering speeds and deep learning performance. It is compatible with the latest graphics APIs, such as DirectX 12 and Vulkan. The convenient single-slot design makes it easy to integrate into a variety of systems. Browse the RTX 4000 8GB DDR6 Graphics Card at ServerBasket across Ethiopia. Get a one-year warranty, quick shipping, and round-the-clock technical support.
Technical Specifications
Brand | NVIDIA |
---|---|
Model | QUADRO-RTX-4000 |
GPU Memory | 8 GB GDDR6 |
Memory Interface | 256-bit |
Memory Bandwidth | Up to 416 GB/s |
NVIDIA CUDA Cores | 2304 |
NVIDIA Tensor Cores | 288 |
NVIDIA RT Cores | 36 |
Single-Precision Performance | 7.1 TFLOPS |
Tensor Performance | 57.0 TFLOPS |
System Interface | PCI Express 3.0 x16 |
Power Consumption | Total board power: 160 W Total graphics power: 125 W |
Thermal Solution | Active |
Display Connectors | 3x DP 1.4, 1x USB-C |
Max Simultaneous Displays | 4x 3840x2160 @ 120 Hz 4x 5120x2880 @ 60 Hz 2x 7680x4320 @ 60 Hz |
VR Ready | Yes, optimized for virtual reality experiences. |
Graphics APIs | Shader Model 5.15 OpenGL 4.66 DirectX 12.05 Vulkan 1.16 |
Compute APIs | Compatible with CUDA, DirectCompute, and OpenCL for flexible programming. |
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