PNY Quadro P5000

PNY Quadro P5000

GPU • PNY • $ 138.00

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The PNY Quadro P5000 is a professional-grade graphics card engineered for demanding workstation environments. With 16GB of ultra-fast GDDR5X memory and 2560 CUDA cores, it delivers exceptional performance for 3D modeling, video editing, scientific visualization, and AI development. Built on NVIDIA's Pascal architecture, this card offers a perfect balance of power, efficiency, and reliability, making it a top choice for professionals who require certified performance and stability.

Who Is It For?

This card is designed for professionals in industries such as architecture, engineering, media and entertainment, and data science. Whether you're rendering complex CAD models, editing 8K video, or training machine learning models, the Quadro P5000 provides the computational muscle and certified software compatibility you need. It's also an excellent upgrade for existing workstations that need to handle multi-display setups or GPU-accelerated workloads.

Key Features

  • Massive 16GB GDDR5X Memory: Handle large datasets, complex scenes, and high-resolution textures with ease.
  • 2560 CUDA Cores: Accelerate parallel processing tasks for faster rendering and simulation.
  • 256-Bit Memory Interface: Provides a high-bandwidth path to memory, ensuring smooth performance in memory-intensive applications.
  • Quad DisplayPort 1.4a + DVI: Drive up to four 4K displays simultaneously for immersive visualization.
  • PCIe 3.0 x16 Interface: Compatible with a wide range of motherboards, offering high-speed data transfer.
  • 180W TDP: Efficient power consumption with a recommended 550W PSU for stable operation.
  • Compact 267mm Length: Fits into most mid-tower and full-tower chassis.

Performance Highlights

In professional benchmarks, the Quadro P5000 excels in applications like SolidWorks, Autodesk Maya, and Adobe Premiere Pro. Its 16GB frame buffer allows for real-time playback of high-resolution video and complex 3D scenes without stuttering. The card also supports NVIDIA's Mosaic technology, enabling you to span applications across multiple displays for enhanced productivity.

Use Cases

  • 3D Rendering & Animation: Achieve photorealistic renders faster with GPU-accelerated engines like V-Ray and Octane.
  • Video Editing: Edit and color-grade 4K/8K footage smoothly with hardware acceleration.
  • AI & Deep Learning: Train and infer models using CUDA and cuDNN libraries.
  • Multi-Display Workstations: Connect up to four monitors for financial trading, command centers, or design suites.

Backed by PNY's reliable build quality and NVIDIA's enterprise-grade drivers, the Quadro P5000 is a solid investment for any professional seeking uncompromising performance and stability.

Key Specifications

Memory Buffer: 16GB
Memory Type: GDDR5X
Mem. Bandwidth: 256-Bit
Wattage: 180W
Shading Units/Cores: 2560
Suggested PSU: 550W
Bus Interface: PCIe 3.0 x16
Output: 1X DVI, 4X DisplayPort 1.4a

Detailed Parameters

TDP in Watts:
180
Minimum PSU Wattage Supported:
550
Length in mm:
267

Where to Buy

Pros

  • Large 16GB GDDR5X memory for complex workloads
  • Certified drivers for professional applications
  • Quad DisplayPort outputs for multi-monitor setups
  • Efficient 180W TDP with low noise
  • Solid build quality and reliable performance

Cons

  • Requires a 550W PSU, which may be higher than some office PCs
  • No HDMI output (requires adapter for HDMI displays)
  • Older Pascal architecture compared to newer RTX cards

Frequently Asked Questions

Is the PNY Quadro P5000 good for gaming?

While it can run games, the Quadro P5000 is optimized for professional workloads like 3D rendering and CAD. Gaming performance is decent but not on par with GeForce cards of similar price. It's best suited for workstations.

What power supply do I need for the Quadro P5000?

PNY recommends a minimum 550W power supply. Ensure your PSU has the required 8-pin PCIe power connector and sufficient headroom for your other components.

Can I use the Quadro P5000 for deep learning?

Yes, the 16GB VRAM and CUDA support make it suitable for training small to medium-sized neural networks. However, for larger models, consider newer RTX cards with Tensor cores.

Compare PNY Quadro P5000 with Similar GPUs

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