Specifications Compared
| Spec | QUADRO-P5000 | RTX-4080 |
|---|---|---|
| TDP | 180W | 320W |
| VRAM | 16 GB | 16 GB |
| CUDA Cores | 2,560 | 9,728 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 288 GB/s | 717 GB/s |
Performance Analysis
The RTX 4080 demonstrates superior compute power over the Quadro P5000: 48.7 TFLOPS FP16 and FP32 compared to 8.9 TFLOPS, a 5.5-fold increase. In training scenarios, this accelerates gradient computations, shortening epoch times significantly for deep neural networks. Inference benefits similarly, handling more queries per second in production deployments.
Memory bandwidth marks another key disparity: 717 GB/s for the RTX 4080 versus 288 GB/s for the Quadro P5000. This enables larger batch sizes without bottlenecks, crucial for transformer models where data movement dominates. Reduced latency in memory-bound operations like attention mechanisms follows directly.
Power consumption reflects the performance gap, with the RTX 4080 at 320W TDP against 180W for the Quadro P5000. Higher TDP supports sustained peaks but demands robust cooling in cloud instances.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | Available |
RTX 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro P5000
The Quadro P5000 fits certified professional workflows such as CAD and simulation software. Applications like SolidWorks or Maya require Quadro drivers for stability, where RTX 4080 lacks equivalent ISV certifications. Its 180W TDP suits lower-power cloud instances or legacy systems avoiding driver incompatibilities.
At $0.78 per hour average, it remains viable for infrequent tasks prioritizing reliability over speed.
When to Choose the RTX 4080
The RTX 4080 dominates modern AI and rendering tasks with 48.7 TFLOPS FP16/FP32 and 717 GB/s bandwidth. Machine learning pipelines, including LLM fine-tuning, leverage this for 5.5 times faster processing at $0.28 per hour average.
General compute and creative workloads benefit from Ada Lovelace efficiencies, offering better value across diverse cloud providers.
Use Cases
RTX 4080's 48.7 TFLOPS FP16 outperforms Quadro P5000's 8.9 TFLOPS by 5.5 times, accelerating large model training. Higher 717 GB/s bandwidth supports bigger batches.
48.7 TFLOPS enables higher query throughput than 8.9 TFLOPS on P5000. Cost efficiency at $0.28 per hour average favors RTX 4080 for production.
5.5x FP32 performance gap shortens iteration cycles. 16 GB VRAM matches, but 717 GB/s bandwidth minimizes data stalls.
Ada Lovelace architecture with 48.7 TFLOPS excels in diffusion models over Pascal's 8.9 TFLOPS. Lower $0.11 per hour starting price boosts accessibility.
Superior 717 GB/s bandwidth handles large datasets better than 288 GB/s. 5.5x FP32 speed suits simulations and HPC workloads.
Frequently Asked Questions
Which GPU has higher performance: Quadro P5000 or RTX 4080?▾
The RTX 4080 leads with 48.7 TFLOPS in FP16 and FP32, surpassing the Quadro P5000's 8.9 TFLOPS by 5.5 times. This impacts training and inference speeds directly.
Do they have the same VRAM?▾
Both offer 16 GB VRAM, but RTX 4080 uses faster GDDR6X versus GDDR5X on Quadro P5000. Bandwidth differs at 717 GB/s versus 288 GB/s.
What are the cloud rental prices?▾
Quadro P5000 averages $0.78 per hour across 6 offers. RTX 4080 starts at $0.11 per hour with $0.28 average across 8 offers.
How do TDPs compare?▾
RTX 4080 consumes 320W TDP, higher than Quadro P5000's 180W. This supports greater performance but requires stronger power infrastructure.
Which is better for machine learning?▾
RTX 4080 excels due to Ada Lovelace architecture, 48.7 TFLOPS, and 717 GB/s bandwidth. It outperforms Pascal-based P5000 in ML tasks at lower cost.
Are architectures similar?▾
No: Quadro P5000 uses 2016 Pascal, RTX 4080 uses 2022 Ada Lovelace. The latter provides 5.5x compute uplift and doubled bandwidth.
Which is cheaper to rent, the Quadro P5000 or the RTX 4080?▾
Cloud rental prices for both the Quadro P5000 and RTX 4080 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the Quadro P5000 have compared to the RTX 4080?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find Quadro P5000 and RTX 4080 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the Quadro P5000 and the RTX 4080?▾
The Quadro P5000 uses the Pascal architecture (2016) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 5.5x the FP16 throughput and 2.5x the memory bandwidth of the Quadro P5000.