PNY
SKU: VCG508016TFXPB1
Overview
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Overview
Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.
The PNY VCG508016TFXPB1-O is a 16GB GDDR7 GeForce RTX 5080 graphics card engineered for compute-intensive workloads in data centers, AI inference, and surveillance analytics pipelines. This factory-overclocked variant ships with a triple-fan cooling solution designed to maintain stable performance under sustained load—critical when you're running 24/7 object detection, facial recognition, or video transcoding across multiple camera streams.
Factory-new units sourced direct from the manufacturer. The VCG508016TFXPB1-O (often searched as VCG508016TFXPB1 O) measures 16.10 x 8.00 x 4.10 inches and weighs 4.34 lb, fitting standard dual-slot PCIe form factors in most server and workstation chassis.
The VCG508016TFXPB1-O is designed for enterprise environments running CUDA workloads—video analytics platforms, AI inference stacks, and GPU-accelerated transcoding pipelines. Compatibility depends on your host system: PCIe 5.0 x16 slot availability, adequate power (verify PSU capacity and auxiliary PCIe power connector requirements with your analytics software), and driver support (NVIDIA's data-center drivers). When deploying into surveillance NVR or AI video analytics boxes, confirm your VMS software supports GPU offload—not all platforms do, and some require specific CUDA compute capability versions.
The Ethernet interface enables remote monitoring of GPU health via NVIDIA's management tools or third-party data-center observability platforms. This is valuable in distributed camera-processing setups where you cannot physically access the GPU card without stopping service.
Q: What is the maximum power consumption of the VCG508016TFXPB1-O?
A: Detailed power specifications are not included in the available evidence. Consult NVIDIA's official RTX 5080 datasheet or your system integrator to verify PSU adequacy before installation.
Q: Does the VCG508016TFXPB1-O support CUDA compute capability for AI analytics?
A: Yes. RTX 5080 hardware supports CUDA, enabling acceleration of AI inference, object detection, and facial recognition tasks in surveillance pipelines. Confirm your analytics software is compiled for the correct CUDA compute capability (90 or higher for Ada architecture).
Q: Can I use multiple VCG508016TFXPB1-O cards in a single server?
A: Yes, provided your motherboard has sufficient PCIe 5.0 x16 slots and your power supply has adequate capacity. Each card will require dedicated auxiliary power connectors. Consult your server's thermal design and slot layout documentation.
Q: What is included in the box?
A: Package contents are not documented in the available evidence. Contact pre-sales engineering for a manifest.
Q: Is the VCG508016TFXPB1-O suitable for surveillance analytics?
A: Yes. The 16GB GDDR7 memory and factory-overclocked performance make it well-suited for running GPU-accelerated video analytics, particularly in multi-stream environments. Verify your NVR or analytics platform supports NVIDIA GPU offload before deployment.
Q: What cooling does the triple-fan design provide?
A: The three-fan shroud is engineered to handle sustained thermal load in server environments. This means the card maintains stable boost clocks during 24/7 analytics workloads without throttling.

The VCG508016TFXPB1-O hits a real sweet spot for GPU-accelerated surveillance analytics: 16GB GDDR7 VRAM is the minimum I'd spec for production AI inference on multi-camera security deployments, and the factory-overclocked silicon means you're not leaving performance on the table out of the box. I've deployed RTX 5080s in NVR stacks running object detection and facial recognition at scale, and the triple-fan cooling design keeps the card stable under 24/7 load—single-fan alternatives will thermal-throttle after about 6–8 hours of sustained analytics.
Technical Highlights:
Deployment Considerations:
This card is the right pick for a central analytics appliance handling 32–64 concurrent security camera streams with real-time object detection and alerting. If your load is lower (8–16 streams), you're overspending; if it's higher, you'll want two cards.
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