PNY NVIDIA Quadro RTX 5000 Graphic Card - 32 GB GDDR6
Designed for professionals, the Quadro RTX 5000 combines real-time ray tracing, AI acceleration, and large memory capacity to power advanced visualization, simulation, and content creation workflows.
Performance & Specs
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Powered by the Turing architecture with 3,072 CUDA cores
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384 Tensor cores and 48 RT cores for AI-enhanced rendering and real-time ray tracing
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16 GB of GDDR6 ECC memory on a 256-bit interface, delivering high bandwidth for large datasets
Design & Connectivity
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Dual-slot form factor with four DisplayPort 1.4 outputs and VirtualLink support
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PCIe 3.0 x16 interface and efficient blower-style cooling
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Approximately 230 W power consumption via 6-pin + 8-pin connectors
Professional Features
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ECC memory ensures data reliability in critical workflows
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Ideal for 3D rendering, CAD, AI development, scientific visualization, and VR
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Supports advanced APIs including DirectX 12, OpenGL, and Vulkan
PNY NVIDIA Quadro RTXÂ 5000
GPU Architecture
| GPU Chip | NVIDIA Turing TU104-875-A1 |
|---|---|
| CUDA Cores | 3,072 |
| Tensor Cores | 384 (Turing) |
| RT Cores | 48 (Turing) |
Clocks & Performance
| Base Clock | 1,620 MHz |
|---|---|
| Boost Clock | Up to 1,815 MHz |
| FP32 Performance | 11.2 TFLOPS |
| Tensor FP16 | 22.3 TFLOPS |
Memory
| Capacity | 16 GB GDDR6 (ECC) |
|---|---|
| Bus Width | 256‑bit |
| Bandwidth | 448 GB/s |
Display Outputs
| Connectors | 4× DisplayPort 1.4, 1× USB-C (VirtualLink) |
|---|---|
| Max Displays | 4 |
| Max Resolution | 8K (7680×4320) @ 60 Hz |
Interface & Power
| PCIe Interface | PCIe 3.0 ×16 |
|---|---|
| Power Connectors | 1× 8-pin + 1× 6-pin PCIe |
| Board Power | 265 W (230 W GPU) |
Form Factor & Cooling
| Form Factor | Dual‑slot, full‑height (267 × 111 mm) |
|---|---|
| Cooling | Active blower-style heatsink |
Software Features
| NVLink | Supports NVLink w/ 50 GB/s bridge for multi-GPU setups |
|---|---|
| Professional Tools | Quadro Sync II, Mosaic, ECC, GPUDirect, Quadro View/Experience |
| API Support | DirectX 12, OpenGL 4.6, Vulkan 1.2, CUDA, OpenCL |
