NVIDIA 900-5G132-2540-000 RTX 5000 Ada 32GB GDDR6 PCIe 4.0 4x Displays Graphics Card
NVIDIA 900-5G132-2540-000 RTX 5000 Ada 32GB GDDR6 PCIe 4.0 4x Displays Graphics Card-GPHO-032

NVIDIA 900-5G132-2540-000 RTX 5000 Ada 32GB GDDR6 PCIe 4.0 4x Displays Graphics Card

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PRODUCT CODE: GPHO-032


The NVIDIA RTX 5000 Ada Generation GPU is a powerhouse designed for professional workflows that demand high computational performance, AI acceleration, and advanced graphics rendering. Built on the Ada Lovelace architecture, this GPU features 12,800 CUDA cores, 100 third-generation RT Cores, and 400 fourth-generation Tensor Cores, providing an exceptional leap in performance over previous generations. With 32GB of GDDR6 memory and a 256-bit interface delivering 576GB/s of bandwidth, it ensures smooth processing for complex datasets, high-fidelity visualizations, and real-time AI computations.

For creatives and engineers, the RTX 5000 brings unparalleled advancements in real-time ray tracing, photorealistic rendering, and simulation. The third-generation RT Cores enable over twice the performance of the previous generation, making it an excellent choice for architects, product designers, and VFX professionals working on detailed models, animations, and cinematic-quality graphics. The fourth-generation Tensor Cores deliver up to 4X the AI compute power, accelerating deep learning, machine learning, and data science applications. Additionally, AV1 encoding enhances streaming and broadcasting efficiency, reducing bandwidth usage without compromising quality.

The RTX 5000 is widely applicable across industries requiring high-end computing power. In AI and data science, it accelerates neural network training and inference. For designers and engineers, it enables precise CAD modeling and CAE simulations. Game developers and VFX artists benefit from real-time ray tracing and AI-driven content creation. Additionally, its support for NVIDIA RTX Virtual Workstation (vWS) software makes it ideal for remote teams needing virtualized, high-performance workstations. Whether for AI research, digital content creation, or complex simulations, the RTX 5000 is a future-proof solution for professionals demanding top-tier performance.

Features

32GB GDDR6 memory for handling large datasets

12,800 CUDA cores for high-performance computing

100 RT Cores for real-time ray tracing

400 Tensor Cores for AI acceleration

PCIe 4.0 x16 interface for fast data transfer

Supports up to 4x 4K displays

AV1 encode & decode for efficient video streaming

VR Ready for immersive experiences

NVIDIA RTX Virtual Workstation support

250W power consumption with active cooling

Specifications:


Model#

900-5G132-2540-000

GPU Memory

32GB GDDR6

Memory Interface

256 bit

Memory Bandwidth

576GB/s

Error Correcting Code (ECC)

Yes

CUDA Cores

12,800

Tensor Cores

400

RT Cores

300

Single-Precision Performance

65.3 TFLOPS³

RT Core Performance

151.0 TFLOPS³

Tensor Performance

1044.4 TFLOPS4

System Interface

PCIe 4.0 x16

Power Consumption

Total board power: 250W

Thermal Solution

Active

Form Factor

4.4” H x 10.5” L, dual slot

Display Connectors

4x DisplayPort 1.4a5

Max Simultaneous Displays

4x 4096 x 2160 @ 120Hz

4x 5120 x 2880 @ 60Hz

2x 7680 x 4320 @ 60Hz

Encode/Decode Engines

2x encode, 2x decode (+AV1 encode and decode)

VR Ready

Yes

vGPU Software Support

NVIDIA vPC/vApps

NVIDIA RTX Virtual Workstation

Graphics APIs

DirectX 12, Shader Model 6.7

OpenGL 4.67, Vulkan 1.3

Compute APIs

CUDA 12.2, OpenCL 3.0,
DirectCompute

NVIDIA NVLink®

No

 

 

 

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We are retiring PICOPC Products MNHO-073, MNHO-048 and MNHO-043 and they have reached EOL (End Of Life) as we are introducing new products with better technology. We would recommend you to look into MNHO-096, MNHO-069 and MNHO-113. For Untangle, pfSense, OPNsense, Windows 11, Proxmox VE etc. we recommend MNHO-096 whereas for Sophos, Kerio Control and Endian, we would recommend MNHO-069 while MNHO-113 is suggested for OPNsense, pfSense, Windows 11, etc. (A complete list of supported OS can be found in each product’s listing)
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