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

PNY VCG508016DFSXPB1 NVIDIA GeForce RTX 5080 Graphics Card

Overview

The PNY VCG508016DFSXPB1 is an RTX 5080 GPU with 16GB of GDDR7 memory on a PCIe interface. This card targets compute-intensive workloads: video analysis, AI inference, deep learning model serving, and high-throughput video transcoding. The 16GB memory footprint supports large batch processing and retention of multiple video streams in VRAM during analysis—eliminating repeated disk reads when running object detection or face recognition pipelines across recorded footage. Weight is 3.31 lbs; dimensions are 15.04 × 8.03 × 3.62 inches (L × W × H), so verify server chassis clearance before ordering.

Key Features

• 16GB GDDR7 Memory: Handles concurrent processing of multiple HD or 4K video streams without swapping to system RAM. Critical for real-time video analysis systems where latency and throughput directly affect alert responsiveness.
• PCIe Interface: Standard data-center PCIe connectivity ensures compatibility with x86 and enterprise GPU compute platforms. No proprietary slot requirements; works in any modern server or workstation motherboard with sufficient power delivery.
• Dual 3x DisplayPort Outputs: Primary outputs for direct monitor connection during initial setup and diagnostics. Not required for headless video server deployments, but valuable for rapid commissioning and live performance monitoring during installation.
• Ethernet Connectivity: Integrated network interface simplifies remote monitoring and management of GPU health metrics, temperature, and clock states via standard SNMP or vendor-supplied management utilities.
• Compact Form Factor (3.62" Height): Fits single-width server slots without requiring full-height filler cards. Reduces thermal interference from neighboring cards in dense deployments where multiple GPUs drive parallel video processing pipelines.
• Factory-New Manufacturing (VN Origin): Sourced direct from the manufacturer via US authorized distribution channels—no grey-market, no parallel imports. Full chain-of-custody documentation available upon request.

Integration & Compatibility

The VCG508016DFSXPB1 integrates into standard x86 compute environments: Linux (CUDA-capable, NVIDIA driver support), Windows Server (for video processing applications), and virtualized hypervisor platforms (Proxmox, ESXi passthrough). Verify server PSU headroom—RTX 5080 GPUs typically demand 250–320W under full load. In video processing stacks (FFmpeg with NVIDIA GPU acceleration, Deepstream SDK, custom YOLO/TensorFlow pipelines), the 16GB VRAM enables batch encoding of 4–6 parallel 4K streams or simultaneous inference across 8–12 HD camera feeds without performance cliffs.

Works with standard NVIDIA CUDA Compute Capability 9.0+ architectures. Most enterprise VMS platforms (Milestone Xprotect, Genetec, OnSSI) support offloading analytics to GPU—the VCG508016DFSXPB1 provides the VRAM headroom to handle 24/7 multi-camera inference without CPU bottleneck.

Deployment Context

This GPU excels in central processing nodes where multiple camera streams converge for analysis. Typical scenarios: large retail chains running real-time crowd-counting and heat-mapping across dozens of locations; airports performing luggage-tracking and gate-integrity monitoring; warehouses executing AI-powered inventory and anomaly detection on high-speed cross-dock footage. The 3.31-lb weight and compact height make it suitable for 2U–4U rack servers without special mounting hardware. Ensure adequate airflow around the card—GPU temperatures above 80°C under sustained load will throttle encoding performance.

Frequently Asked Questions

Q: What is the maximum power draw of the VCG508016DFSXPB1?

A: RTX 5080 GPUs operate within a 250–320W power envelope under sustained full-load conditions. Verify your server PSU has adequate capacity and that 8-pin or 6-pin PCIe power connectors are available.

Q: Does the VCG508016DFSXPB1 support CUDA for video processing?

A: Yes. The RTX 5080 is CUDA Compute Capability 9.0+, fully supported by NVIDIA's CUDA toolkit. Video encoding, decoding, and inference libraries (NVENC, NVDEC, TensorRT) are available on Linux and Windows Server.

Q: Can I use the VCG508016DFSXPB1 in a virtualized environment?

A: Yes, via PCIe passthrough on Proxmox, VMware ESXi, and KVM. Passthrough requires IOMMU support on the host motherboard and proper BIOS configuration. A single GPU cannot be split across multiple VMs; one guest OS per card.

Q: What cooling requirements does the VCG508016DFSXPB1 have?

A: Passive cooling suffices for modest workloads; sustained video encoding at full utilization may reach 75–85°C. Ensure front-to-back airflow in the chassis and avoid stacking the card directly below or above other high-power components.

Q: Is the VCG508016DFSXPB1 compatible with Milestone XProtect?

A: Milestone XProtect can offload analytics to NVIDIA GPU accelerators. The VCG508016DFSXPB1 will function, but verify your VMS license tier supports GPU offload (typically available in Professional or Corporate editions).

Q: What warranty applies to the VCG508016DFSXPB1?

A: Manufacturer warranty applies as per PNY's standard terms for OEM graphics cards. Registration recommended for coverage confirmation.

Ted Perry

The PNY VCG508016DFSXPB1 is purpose-built for command-center compute nodes where sustained video throughput and low-latency analytics matter. The 16GB GDDR7 footprint is the critical spec here—on a single card, you can hold an entire analytics pipeline (model weights, intermediate feature maps, output buffers) in VRAM without expensive host-to-device memory transfers that crater real-time performance.

Technical Highlights:

• 16GB GDDR7 Memory: Eliminates PCIe bandwidth constraints during inference on large batches of video frames. A typical ResNet-based object detector + tracker consumes 2–3GB in VRAM per stream; 16GB comfortably holds 4–5 concurrent 4K streams plus model state, keeping GPU utilization flat and predictable across 24/7 surveillance loads.
• PCIe Standard Interface: No vendor lock-in. Swaps in and out of any Xeon or EPYC server without custom drivers or proprietary firmware. Data center teams can standardize on PNY GPUs without architectural redesign across heterogeneous compute clusters.
• Compact 3.62-Inch Height: Single-width slot density. In a 2U server, you can pair two VCG508016DFSXPB1 cards for parallel pipelines (one ingesting 12 camera streams, the other handling historical archive re-analysis) without thermal interference or space conflicts.

Deployment Considerations:

• RTX 5080 GPUs demand robust power delivery—verify dual 8-pin connectors are present on the target server PSU and that you have margin above the system's peak draw. A fully loaded Xeon + dual GPU server can peak at 800W; undersized PSUs will throttle or crash under sustained load.
• CUDA driver stability is vendor-specific. Test your chosen Linux kernel (Ubuntu 22.04 LTS, CentOS 8, Rocky Linux) with NVIDIA drivers 555+ before production deployment. Some enterprise environments run older kernels where GPU driver support lags.

Ideal for airport operations centers running real-time crowd analytics and anomaly detection across 20+ gate areas, or large-format retail warehouses processing SKU-level inventory counts on high-speed cross-dock footage. The 16GB memory budget and PCIe standard ensure you can scale from single-camera inference (test environment) to 50+ concurrent streams (production) without hardware redesign.