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PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU

PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU

Brand: NVIDIA | Category: GPUs

SKU: VCNRTX4500ADA-PB | Part #: VCNRTX4500ADA-PB | MPN: VCNRTX4500ADA-PB

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About the PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU

The PNY NVIDIA RTX 4500 Ada Generation is a professional workstation GPU built on NVIDIA's Ada Lovelace architecture, featuring 24GB of GDDR6 ECC memory across a 192-bit memory bus. Designed for the demands of professional visualization and technical computing, it delivers hardware-accelerated ray tracing via third-generation RT Cores, AI inference acceleration via fourth-generation Tensor Cores, and shader performance through 7,168 CUDA cores. The card operates within a 210W TDP envelope and uses a single-slot, full-height form factor with a blower-style cooler suited to dense multi-GPU workstation configurations.

The RTX 4500 Ada occupies the mid-tier of NVIDIA's Ada-generation professional lineup, positioned between the RTX 4000 Ada and the RTX 5000 Ada. Its 24GB ECC framebuffer is a significant differentiator at this tier, enabling in-memory handling of large CAD assemblies, high-resolution simulation datasets, and substantial AI model parameters without host-memory offloading. DisplayPort 1.4a outputs (four) support multi-display professional workflows, and NVIDIA Mosaic technology allows seamless spanning across displays for visualization environments.

Enterprises deploying RTX 4500 Ada seats benefit from NVIDIA's professional driver ecosystem (NVIDIA RTX Enterprise drivers), ISV certifications across leading engineering and content creation applications, and support for NVIDIA virtual GPU (vGPU) software when virtualizing workstation resources. The Ada Lovelace generation's improvements to Optical Flow acceleration and DLSS 3 frame generation further extend its applicability to AI-assisted design and real-time visualization pipelines, making it a well-rounded choice for engineering, scientific, and AI development workstations deployed at scale.

Ideal for

  • CAD and CAE visualization: handling large parametric assemblies and finite element analysis result sets in applications such as CATIA, Creo, and ANSYS within the 24GB ECC framebuffer
  • AI model development and inference: accelerating training runs and on-device inference for mid-scale deep learning workloads using fourth-generation Tensor Cores with FP16, BF16, TF32, and INT8 precision support
  • Architectural and product design visualization: real-time ray-traced rendering in tools such as Autodesk VRED, Chaos V-Ray, and Unreal Engine for design review sessions
  • Medical imaging and scientific computing: GPU-accelerated processing of volumetric datasets requiring ECC memory integrity for results reliability in research and clinical workstation environments
  • Virtual workstation deployments: supporting NVIDIA vGPU software profiles to consolidate multiple professional desktop instances on a single physical host in VDI infrastructure
  • Multi-display professional workflows: driving up to four 4K displays simultaneously via DisplayPort 1.4a outputs for traders, analysts, and control-room operators requiring broad screen real estate

Technical specifications

ManufacturerNVIDIA
Manufacturer Part NumberVCNRTX4500ADA-PB
GPU ArchitectureAda Lovelace
CUDA Cores7168
GPU Memory24 GB GDDR6 ECC
Memory Bus Width192-bit
Memory Bandwidth432 GB/s
RT Cores (Generation)3rd Generation
Tensor Cores (Generation)4th Generation
TDP210 W
Power Connector1x 16-pin (PCIe Gen 5)
Display Outputs4x DisplayPort 1.4a
Maximum Displays Supported4
Form FactorFull-height, single-slot, blower cooler
PCIe InterfacePCIe 4.0 x16
NVLink SupportNo
ECC MemoryYes
vGPU Software SupportYes (NVIDIA RTX vWS, vPC)
DirectX SupportDirectX 12 Ultimate
OpenGL SupportOpenGL 4.6
Vulkan SupportVulkan 1.3
API SupportCUDA, OpenCL, DirectCompute

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.

Technical Specifications

BrandNVIDIA
CategoryGPUs
SKUVCNRTX4500ADA-PB
Part NumberVCNRTX4500ADA-PB
ConditionNew
Manufacturer Part NumberVCNRTX4500ADA-PB
GPU ArchitectureAda Lovelace
CUDA Cores7168
GPU Memory24 GB GDDR6 ECC
Memory Bus Width192-bit
Memory Bandwidth432 GB/s
RT Cores (Generation)3rd Generation
Tensor Cores (Generation)4th Generation
TDP210 W
Power Connector1x 16-pin (PCIe Gen 5)
Display Outputs4x DisplayPort 1.4a
Maximum Displays Supported4
Form FactorFull-height, single-slot, blower cooler
PCIe InterfacePCIe 4.0 x16
NVLink SupportNo
ECC MemoryYes
vGPU Software SupportYes (NVIDIA RTX vWS, vPC)
DirectX SupportDirectX 12 Ultimate
OpenGL SupportOpenGL 4.6
Vulkan SupportVulkan 1.3
API SupportCUDA, OpenCL, DirectCompute

Frequently Asked Questions about PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU

What does the PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU do?

The PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU accelerates AI/ML training, inference, scientific HPC, and virtualization (vGPU) workloads. Typical deployments include LLM training clusters, computer-vision pipelines, financial risk modeling, and rendering farms.

What are the headline specs of the PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU?

Key specifications for the PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU: new condition; manufacturer NVIDIA; manufacturer part number VCNRTX4500ADA-PB; gpu architecture Ada Lovelace; cuda cores 7168; gpu memory 24 GB GDDR6 ECC; memory bus width 192-bit. Manufacturer part number VCNRTX4500ADA-PB. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.

Is the PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU compatible with my infrastructure?

The PNY NVIDIA RTX 4500 Ada Generation 24GB Workstation GPU requires a PCIe Gen4 or Gen5 x16 slot, server power adequate for the card's TDP, and CUDA/ROCm driver support in your hypervisor or bare-metal OS. Sales engineering will confirm chassis fit (1U/2U/4U), PCIe lane count, and PSU headroom before quoting.