PNY GeForce RTX 4080 SUPER 16GB VERTO OC GDDR6X

Brand: PNY | Category: GPUs

SKU: VCG4080S16TFXXPB1 | Part #: VCG4080S16TFXXPB1 | MPN: VCG4080S16TFXXPB1

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Built on the AD103 GPU chip and backed by PNY's engineering team, the GeForce RTX 4080 SUPER 16GB VERTO OC (part number VCG4080S16TFXXPB1) is a dual-slot, full-height graphics accelerator designed for environments where power supply headroom and chassis depth are critical constraints. The card draws exactly 320W at maximum load and requires a PCIe 4.0 x16 slot—specifications that matter immediately when an AI infrastructure team or data centre sysadmin is evaluating whether the card will fit a given server configuration without power rail contention or thermal shutdown. This is not a card that assumes infinite power delivery; it is built for real environments where PSU capacity is finite and where every watt counts against cooling budgets.

The 16GB of GDDR6X memory on a 256-bit bus delivers the bandwidth required for inference workloads that would choke on smaller memory configurations, yet the card does not demand the extreme power envelope of a full RTX 4090. PNY's VERTO OC variant includes factory overclocking to 2550 MHz, pushing the 10,240 CUDA cores and 320 Tensor cores to practical performance levels without requiring end-user BIOS tweaks or voltage adjustments. For teams running large language models, computer vision pipelines, or multi-GPU inference clusters, the balance between memory capacity, compute density, and thermal restraint makes the RTX 4080 SUPER a viable middle ground in the Ada architecture lineup. The card's 80 ray-tracing cores also ensure that mixed workloads—those combining AI inference with real-time graphics—do not bottleneck on ray acceleration.

Connectivity on the PNY RTX 4080 SUPER is handled via three DisplayPort 1.4a outputs and one HDMI 2.1a port, a combination that reflects the card's dual role as both compute and graphics accelerator. In large-scale deployments, these outputs matter less; the real value lies in the PCIe bus itself, which sustains the full GPU-to-CPU bandwidth. However, for smaller environments where a single card may drive monitoring dashboards, scientific visualization, or live rendering workloads alongside compute tasks, the display flexibility prevents the need for a separate graphics card. PNY has engineered the memory layout and vreg circuitry on the VERTO OC model to sustain sustained clocks under load, meaning that boost states are not transient spikes but rather stable operating points for hours-long training runs or inference batches.

The RTX 4080 SUPER sits in a sweet spot for enterprises and smaller AI labs that need to expand compute capacity without undertaking a full GPU refresh. If your current infrastructure already supports PCIe 4.0 and has power supplies rated above 600W with headroom for system overhead, the VCG4080S16TFXXPB1 is a straightforward drop-in upgrade from older-generation cards. Network engineers and storage architects evaluating GPU refresh timelines often pair this card with enterprise NVMe arrays and 25GbE networking to ensure that the GPU is fed data at rates that prevent starvation. The combination of moderate power draw, proven driver support, and broad CUDA library compatibility means that migration from earlier Ada or Ampere generations involves minimal code refactoring.

Omnixon Global maintains stock of the PNY GeForce RTX 4080 SUPER 16GB VERTO OC (VCG4080S16TFXXPB1) across our UAE and GCC warehouses, with logistics reach into Asia and Europe for qualified enterprise customers. If you are planning a data centre refresh, evaluating GPU capacity for an AI research program, or need to augment an existing compute cluster with balanced performance and power efficiency, we invite you to submit an RFQ through our technical sales team. Our engineers can cross-reference your server SKU, PSU ratings, and cooling specifications against PNY's official compatibility matrix to ensure seamless integration into your environment.

Performance Specifications & Compatibility

• 320W TDP with PCIe 4.0 x16 interface ensures compatibility with most enterprise server chassis and power rails without reconfiguration
• 10,240 CUDA cores and 320 Tensor cores deliver consistent throughput for inference, training, and mixed workload scenarios at 2550 MHz boost clock
• 16GB GDDR6X on 256-bit bus provides sufficient memory bandwidth and capacity for large language model inference and multi-batch processing
• Factory-overclocked VERTO OC configuration eliminates the need for end-user tuning while maintaining thermal stability across extended runtime periods
• 80 ray-tracing cores enable real-time graphics acceleration for visualization-heavy workloads running alongside compute tasks
• Three DisplayPort 1.4a and one HDMI 2.1a output support multi-monitor or hybrid graphics setups without dedicated display adapters
• AD103 GPU architecture delivers mature driver support and broad ecosystem compatibility across CUDA, TensorRT, and third-party inference frameworks