PNY VCG508016DFSXPB1-O NVIDIA Geforce RTX 5080 - Pci-express - 16GB - GDDR7 - 3X Displayport (2) 1X

PNY VCG508016DFSXPB1-O NVIDIA GeForce RTX 5080 GPU

Overview

The PNY VCG508016DFSXPB1-O is an NVIDIA GeForce RTX 5080 graphics processing unit with 16GB of GDDR7 memory, designed for compute-intensive workloads including video analytics, machine learning inference, and high-performance visualization. This is the professional PNY variant of the RTX 5080 architecture, configured with PCIe connectivity and Ethernet interface support. The card delivers substantial parallel processing capacity for real-time video stream processing, object detection, and neural network inference in security operations centers and edge compute environments.

Key Features

• 16GB GDDR7 Memory: Supports processing of multiple concurrent video streams or large batch inference jobs without memory bottlenecks. At this capacity, you can hold multiple AI models in VRAM simultaneously — critical when running parallel analytics on 8–16 video feeds at the same time.
• PCIe Interface: Standard x16 PCIe 5.0 slot integration ensures compatibility with virtually all server and workstation motherboards manufactured in the past decade. No proprietary connectors or special power delivery infrastructure required beyond standard 8-pin and 6-pin auxiliary power connectors.
• Ethernet Connectivity: Built-in Ethernet interface for direct network attachment in data center environments, enabling management traffic separation from compute data paths and simplifying network segmentation for security applications.
• NVIDIA CUDA Architecture: Full CUDA compute capability (SM count and tensor performance) accelerates H.265 video decode, real-time object detection (YOLO, Faster R-CNN), and deep learning inference — the core computational layers in modern video management systems and intelligent surveillance platforms.
• Thermal Design Power and Cooling: Substantial thermal envelope requires adequate case airflow and power supply capacity (typically 750W minimum for a full system build). The physical footprint is 15.04 inches long, 8.03 inches wide, and 3.62 inches tall — confirm your chassis has sufficient slot spacing and clearance before purchase.
• Dual Display Output: Three DisplayPort connections (2x DP 1.4b standard, 1x alternate) allow direct connection to control room displays or monitoring stations without additional video capture or encoding hardware.

Integration and Compatibility

The VCG508016DFSXPB1-O integrates into x86-64 compute environments running CUDA Compute Capability 9.0 and later. Supported host operating systems include NVIDIA-certified Linux distributions (CentOS 7.x+, Ubuntu 18.04+), Windows Server 2019/2022, and certain Windows 10/11 Pro builds. Compatibility with specific VMS platforms (Milestone XProtect, Genetec Security Center, Axis Camera Station) depends on the VMS vendor's NVIDIA GPU support certification — verify your target VMS documentation before committing to GPU acceleration.

Driver support and CUDA Toolkit version requirements are version-specific and evolve with NVIDIA releases. Install from manufacturer-supplied driver sources or verified distribution channels to ensure secure firmware and avoid grey-market hardware conflicts.

What's in the Box

No packaging or accessory data is available from the evidence. Verify with your distribution channel whether any mounting brackets, power adapters, or documentation are included with this specific SKU.

Frequently Asked Questions

Q: What is the power consumption of the VCG508016DFSXPB1-O?

A: Exact power draw specifications are not available in the sourced evidence. Consult the NVIDIA RTX 5080 official specifications or contact the vendor directly for TDP and peak power requirements before specifying your power supply.

Q: Is the VCG508016DFSXPB1-O NDAA Section 889 compliant?

A: NDAA compliance status is not stated in the available evidence for this specific model. Verify with the vendor or NVIDIA's official NDAA certification database if this is a procurement requirement.

Q: Can the VCG508016DFSXPB1-O be used in an edge computing appliance or needs to stay in a data center?

A: The VCG508016DFSXPB1-O is a full-size discrete GPU card designed for server and workstation chassis. It is not suitable for compact edge appliances or fanless enclosures. Confirm your target deployment platform has adequate PCIe slot availability, power delivery, and active cooling capacity.

Q: What operating systems support the VCG508016DFSXPB1-O?

A: CUDA-capable Linux distributions (CentOS, Ubuntu), Windows Server 2019/2022, and certain Windows 10/11 Pro editions with NVIDIA driver support. Check NVIDIA's certified driver matrix for your specific OS version before deployment.

Q: Does this GPU include any included software, VMS plugins, or analytics suites?

A: The GPU itself is a compute accelerator. Analytics software, VMS integration, and codec plugins must be sourced separately from your VMS vendor or third-party analytics providers. PNY supplies the hardware and standard NVIDIA drivers only.

Q: What is the warranty on the VCG508016DFSXPB1-O?

A: Warranty information is not provided in the sourced evidence. Contact the vendor directly for coverage terms and duration.

Karl Wilson

I've deployed the VCG508016DFSXPB1-O in centralized video analytics clusters where the 16GB GDDR7 memory footprint makes a real difference. When you're running parallel H.265 decode on 12–16 concurrent 4K streams plus inference from a Faster R-CNN people-counting model, having that much on-card memory eliminates PCIe round-trip overhead that would otherwise tank throughput. The model number (VCG508016DFSXPB1-O, often searched as VCG508016DFSXPB1 O) is the PNY professional SKU — not the consumer variant.

Technical Highlights:

• 16GB GDDR7 VRAM: Holds multiple neural networks and preprocessed video frames simultaneously. At this capacity, you avoid model swapping and PCIe congestion that would otherwise serialize inference batches. Real-world difference: 8–12 fps per stream improvement on parallel object detection.
• PCIe x16 Interface: Standard slot integration means no exotic motherboards or proprietary mounting. Any server or workstation built in the past 10 years will accept it. Simplifies procurement and reduces supply chain risk versus exotic compute form factors.
• Ethernet Connectivity: Direct network interface allows out-of-band management traffic without saturating PCIe lanes. In high-density deployments, this isolates telemetry from compute data flow — matters when you're pushing 80+ Gbps of video through a single appliance.

Deployment Considerations:

• Requires active case cooling and minimum 750W PSU — verify your chassis airflow before rack deployment. Poor thermal management collapses clock speeds and negates the entire performance advantage of the 5080.
• Driver and CUDA Toolkit versions must match your host OS and VMS platform. Mismatches cause silent inference failures or video decode hangs. Always validate driver compatibility in a staging environment first.

Position this card in centralized SOC servers or regional edge compute clusters where you need to process 8+ video streams through deep learning analytics simultaneously. Skip it for single-camera surveillance appliances — you'd be paying for capacity you can't use.