NVIDIA VCQ RTX5000-PB NVIDIA Quadro RTX 5000 Graphic Card – 16GB
PCIe 3.0×16,3072 核,192 TMU,64 ROP,16GB,GDDR6,256Bit
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| Brand | PNY |
|---|---|
| Products Status | New |
| Application | Workstation |
| Packaging Details | Work Packages |
| Series | NVIDIA Quadro RTX |
| Model | VCQRTX5000-PB |
| Interface | PCI Express 3.0 x16 |
| Chipset Manufacturer | NVIDIA |
| GPU | Quadro RTX 5000 |
| Memory Size | 16GB |
| Memory Interface | 256-bit |
| Memory Type | GDDR6 |
| DirectX | DirectX 12 |
| DisplayPort | 4 x DisplayPort 1.4 |
| Other Ports | 1 x USB-C |
| Digital Resolution | 2 x 7680×4320 @ 60 Hz, 4 x 4096×2160 @ 120 Hz, 4 x 5120×2880 @ 60 Hz |
| Max Displays Per Board | 4 |
| SLI Supported | Yes |
| Cooler | Ultra-quiet active fansink |
| Virtual Reality Ready | Yes |
| HDCP Ready | 2.2 |
| Operating Systems Supported | Linux – Full OpenGL implementation, complete with NVIDIA and ARB extensions (64-bit), Microsoft Windows 10 (64-bit), Microsoft Windows 7 (64-bit), Microsoft Windows 8.1 and 8 (64-bit) |
| System Requirements | 8GB of system memory (more preferred), AMD Phenom or Opteron-class or later, DisplayPort (preferred), HDMI, or DVI compatible display, Intel Core i5, i7, Xeon or later, Internet connection (for driver installation), Minimum System Hardware Requirements:, PCIe x16 Gen 3 (preferred) expansion slot, Total board power: 265W |
| Features | 384 Tensor Cores power AI development and training, 48 RT Cores accelerate photorealistic ray-traced rendering, Advanced rendering and shading features for immersive VR, Experience fast, interactive, professional application performance, Faster than PCIe-based solutions and offers flexible configurations, Incredible Application Performance, Incredible inferencing performance is ideal for "at the edge" deployment, Latest NVIDIA Turing GPU architecture and ultra-fast graphics memory, New RT Cores for Realtime Ray Tracing, Next Generation VR Support, NVIDIA RTX technology brings realtime rendering to professionals, Quadro RTX NVLink, Scales memory and performance for the largest visual computing workloads, Tensor Cores Accelerate AI Workflows, VirtualLink simplifies HMD cabling |
| Dimensions (L x H) | 10.50" x 4.40" |
| Slot Width | Dual Slot |
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