Specifications Compared
| Spec | QUADRO-P5000 | RTX-5070 |
|---|---|---|
| TDP | 180W | 250W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 2,560 | 6,144 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 40.6 TFLOPS |
| Memory Bandwidth | 288 GB/s | 448 GB/s |
Performance Analysis
The RTX 5070 demonstrates superior raw compute power: its 40.6 TFLOPS in FP16 and FP32 dwarfs the Quadro P5000's 8.9 TFLOPS, translating to approximately 4.6 times faster performance in half-precision training and inference tasks common in deep learning. This delta accelerates model training epochs and boosts inference throughput, allowing the RTX 5070 to process larger datasets in less time.
Memory bandwidth plays a critical role in workload efficiency: the RTX 5070's 448 GB/s supports larger batch sizes during training compared to the Quadro P5000's 288 GB/s, reducing bottlenecks in data-heavy operations like LLM fine-tuning. However, the Quadro P5000's 16 GB GDDR5X VRAM exceeds the RTX 5070's 12 GB GDDR7, benefiting scenarios with memory-intensive models that exceed 12 GB without model parallelism.
Higher TDP on the RTX 5070 at 250W versus 180W reflects its performance edge, but cloud providers manage thermal demands effectively. Overall, these specs favor the RTX 5070 for compute-bound AI tasks, while the Quadro P5000 suits VRAM-limited legacy applications.
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 |
When to Choose the Quadro P5000
The Quadro P5000 excels in workloads demanding over 12 GB VRAM, such as inference on large language models exceeding the RTX 5070's 12 GB capacity without sharding. Its 16 GB GDDR5X proves advantageous for professional visualization tasks certified for Pascal architecture, where software compatibility prioritizes stability over speed.
Users with existing pipelines optimized for Quadro drivers may prefer it to avoid refactoring, despite the 288 GB/s bandwidth limiting batch sizes compared to modern alternatives.
When to Choose the RTX 5070
The RTX 5070 is ideal for compute-intensive machine learning tasks, where 40.6 TFLOPS FP16 performance delivers 4.6 times the speed of the Quadro P5000's 8.9 TFLOPS, slashing training times. Its 448 GB/s bandwidth enables larger batches in fine-tuning and inference, enhancing throughput at an average cloud cost of $0.21 per hour.
Newer Blackwell features suit AI development, offering better efficiency per watt despite 250W TDP, making it preferable for cost-sensitive, high-performance cloud deployments.
Use Cases
The RTX 5070's 40.6 TFLOPS FP16 performance is 4.6 times higher than the Quadro P5000's 8.9 TFLOPS, accelerating training epochs significantly. Higher 448 GB/s bandwidth supports larger batches.
RTX 5070 delivers 40.6 TFLOPS FP16 for faster query processing versus Quadro P5000's 8.9 TFLOPS. Its lower $0.21 per hour average cost optimizes high-volume inference.
40.6 TFLOPS on RTX 5070 speeds fine-tuning 4.6 times over Quadro P5000's 8.9 TFLOPS. 448 GB/s bandwidth handles larger datasets efficiently.
RTX 5070's Blackwell architecture and 40.6 TFLOPS excel in diffusion model generation, far surpassing Quadro P5000's Pascal-era 8.9 TFLOPS. Cloud pricing at $0.21 per hour adds value.
Quadro P5000's 16 GB VRAM supports memory-heavy simulations exceeding RTX 5070's 12 GB. It suits legacy HPC codes optimized for Pascal without needing updates.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro P5000 offers 16 GB GDDR5X VRAM, exceeding the RTX 5070's 12 GB GDDR7. This makes the Quadro P5000 better for models requiring over 12 GB memory. Bandwidth favors the RTX 5070 at 448 GB/s over 288 GB/s.
How do their compute performances compare?▾
RTX 5070 provides 40.6 TFLOPS in FP16 and FP32, 4.6 times higher than Quadro P5000's 8.9 TFLOPS. This gap accelerates AI training and inference significantly. Both share equal FP16 to FP32 ratios.
What are the cloud pricing differences?▾
RTX 5070 rents from $0.08 per hour with an average of $0.21 across six offers, versus Quadro P5000's $0.78 average across six offers. This yields superior performance per dollar on RTX 5070. Prices reflect real-time market data.
Which has higher memory bandwidth?▾
RTX 5070 achieves 448 GB/s, surpassing Quadro P5000's 288 GB/s by 55 percent. Higher bandwidth enables larger batch sizes in training. VRAM types differ as GDDR7 versus GDDR5X.
What are the TDP ratings?▾
RTX 5070 consumes 250W TDP, higher than Quadro P5000's 180W. Cloud instances accommodate both PCIe GPUs effectively. Higher TDP correlates with RTX 5070's 40.6 TFLOPS performance.
Which architecture is newer?▾
RTX 5070 uses 2025 Blackwell architecture, nine years after Quadro P5000's 2016 Pascal. Blackwell supports advanced AI features. Both operate in PCIe form factors.
Which is cheaper to rent, the Quadro P5000 or the RTX 5070?▾
Cloud rental prices for both the Quadro P5000 and RTX 5070 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 5070?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find Quadro P5000 and RTX 5070 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 5070?▾
The Quadro P5000 uses the Pascal architecture (2016) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 4.6x the FP16 throughput and 1.6x the memory bandwidth of the Quadro P5000.