Rent NVIDIA Quadro P6000 Cloud Instances
📊 Pricing at a Glance
NVIDIA Quadro P6000 rental pricing ranges from $1.10/GPU/hr to $1.10/GPU/hr across 6 instances from 1 providers (updated June 2026).
Looking for a specific provider? See Paperspace NVIDIA Quadro P6000.
Available Offers
Compare the top 5 cheapest offers from 1 providers.
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
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Technical Specifications
Strengths & Limitations
- Large memory capacity (24GB) suitable for large datasets and complex models.
- High double-precision (FP64) performance compared to GeForce cards, beneficial for scientific computing.
- Certified for professional applications, ensuring compatibility and stability.
- Robust build quality and reliability for demanding workloads.
- High power consumption compared to newer generation cards.
- Lacks Tensor Cores for accelerated AI/Deep Learning tasks, making it less efficient for modern AI workloads.
- GDDR5X memory is slower than the GDDR6 or HBM found in newer GPUs.
- Higher cost per hour ($1.10/hr) compared to newer cards that offer better performance per dollar.
Top Use Cases
Ideal for rendering complex 3D models, architectural visualizations, and simulations in applications like Autodesk Maya, 3ds Max, and Cinema 4D.
Suitable for running CAD/CAM software such as SolidWorks, AutoCAD, and CATIA, enabling smooth manipulation of large assemblies and detailed designs.
Capable of handling scientific simulations and data analysis tasks that benefit from high double-precision floating-point performance.
Real-World Benchmark
Market Analysis
The NVIDIA Quadro P6000 is positioned as a professional-grade GPU, but its age makes it less competitive compared to newer options. While it offers a large memory capacity, the lack of Tensor Cores and slower memory technology limit its appeal for modern AI and deep learning workloads. The price of $1.10/hr is relatively high considering the performance available from newer cards at similar or lower prices. For example, an NVIDIA H100 SXM5 ($0.74/hr) offers significantly better performance for many workloads.
Frequently Asked Questions
Is the Quadro P6000 suitable for deep learning?â–¾
While it can be used for deep learning, the lack of Tensor Cores makes it less efficient than newer GPUs with dedicated AI acceleration hardware. Consider GPUs like the NVIDIA Tesla T4 or RTX series cards for better deep learning performance.
What is the power consumption of the Quadro P6000?â–¾
The Quadro P6000 has a maximum power consumption of 250W.
Does the Quadro P6000 support NVIDIA NVLink?â–¾
No, the Quadro P6000 does not support NVLink.
Alternative GPUs
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