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PNY Technologies, Inc.
Delivers 7.1 TFLOPS single-precision performance with 2304 CUDA cores and 8GB GDDR6 memory across four display outputs
The PNY Quadro RTX 4000 VCQRTX4000-PB is a workstation graphics card built on the NVIDIA Quadro RTX 4000 GPU with 2304 CUDA cores and 8GB GDDR6 memory. It connects through a PCI Express 3.0 x16 interface and provides 7.1 TFLOPS single-precision performance alongside 57.0 TFLOPS deep learning throughput. An ultra-quiet active fansink keeps the board cool during extended render or compute sessions.
This card fits engineers, designers and researchers who need certified drivers for CAD, DCC and visualisation applications on Windows or Linux. The four-display limit and 8GB frame buffer restrict users working with very large models, multi-GPU render farms or workloads that demand more video memory than this board provides. Buyers who need more storage for textures or geometry should look at higher-capacity alternatives.
Three DisplayPort 1.4 connectors and one USB-C port drive up to four monitors at resolutions up to 7680 x 4320 at 60 Hz, 5120 x 2880 at 60 Hz or 3840 x 2160 at 120 Hz with HDR. The USB-C connection adds a convenient single-cable option for compatible displays or VR headsets, while SLI support allows a second card to be linked for expanded compute scale when the motherboard and power supply allow it.
| Brand | PNY |
|---|---|
| Model | VCQRTX4000-PB |
| Interface | PCI Express 3.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | Quadro RTX 4000 |
| CUDA Cores | 2304 |
| Floating Point Formats | Peak Single Precision FP32 Performance: 7.1 TFLOPS Peak Half Precision FP16 Performance: 14.2 TFLOPS Peak Half Precision INT8 Performance: 28.5 TOPS Deep Learning TFLOPS: 57.0 TFLOPS |
| Memory Size | 8GB |
| Memory Type | GDDR6 |
| DirectX | DirectX 12 |
| OpenGL | OpenGL 4.5 |
| DisplayPort | 3 x DisplayPort 1.4 |
| Other Ports | 1 x USB-C |
| Digital Resolution | Maximum DP 1.4 Resolution: HDR 7680 x 4320 at 60 Hz 5K Display Support: HDR 5120 x 2880 at 60 Hz 4K Display Support: HDR 4096 x 2160 or 3840 x 2160 at 120 Hz |
| Max Displays Per Board | 4 |
| SLI Supported | Yes |
| Cooler | Ultra-quiet active fansink |
| Virtual Reality Ready | Yes |
| HDCP Ready | Yes |
| Operating Systems Supported | Microsoft Windows 10 (64-bit) Microsoft Windows 8.1 and 8 (64-bit) Microsoft Windows 7 (64-bit) Linux - Full OpenGL implementation, complete with NVIDIA and ARB extensions (64-bit) |
| System Requirements | Maximum Power Consumption: 160W Minimum System Hardware Requirements: Intel Core i5, i7, Xeon or later AMD Phenom or Opteron-class or later PCIe x16 Gen 3 (preferred) expansion slot 8GB of system memory (more preferred) Internet connection (for driver installation) DisplayPort (preferred) or DVI compatible displays DisplayPort (preferred), HDMI, or DVI compatible display |
| Features | Quadro RTX 4000 combines the NVIDIA Turing GPU architecture with the latest memory and display technologies, to deliver the best performance and features in a single-slot PCI-e form factor. Enjoy greater fluidity with photorealistic rendering, experience faster performance with AI-enabled applications and create detailed, lifelike VR experiences more cost-effectively and across a broader range of workstation chassis configurations. Quadro RTX 4000 features 36 RT cores to accelerate ray tracing, 288 Tensor cores to accelerate AI and 8GB GDDR6 memory to accommodate large datasets. It i |
| Dimensions (L x H) | 10.50" x 4.40" |
| Slot Width | Single-slot |
| Package Contents | NVIDIA Quadro RTX 4000 professional graphics card Quadro RTX Quick Start Guide Quadro Support Guide USB Type-C to DP adapter DisplayPort to DVI-D SL adapter DisplayPort to HDMI adapter Auxiliary power cable |
| Shipping weight | 1.35 kg |
| Package size | 330 × 178 × 94 mm |
The card draws power through the PCI Express 3.0 x16 slot and its on-board auxiliary connector; ensure your PSU provides the required 8-pin or 6+2-pin PCIe power lead.
Yes, the PCI Express 3.0 x16 interface is backward compatible with PCIe 2.0 x16 slots, operating at the lower 2.0 bandwidth.
Run a CUDA-enabled benchmark such as NVIDIA's deviceQuery or a compute workload and verify the reported single-precision throughput matches 7.1 TFLOPS.
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