Specifications Compared
| Spec | QUADRO-P5000 | RTX-4070 |
|---|---|---|
| TDP | 180W | 200W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 2,560 | 5,888 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 288 GB/s | 504 GB/s |
Performance Analysis
The RTX 4070 Ti delivers 29.1 TFLOPS in FP16 and FP32, surpassing the Quadro P5000's 8.9 TFLOPS by a factor of 3.3: this enables significantly faster model training and inference in deep learning workloads. FP16 performance directly accelerates tensor operations in frameworks like PyTorch and TensorFlow, reducing epoch times for large neural networks.
Higher memory bandwidth on the RTX 4070 Ti at 504 GB/s compared to 288 GB/s allows larger batch sizes during training, minimizing data loading bottlenecks and improving throughput. Although the P5000 has 16 GB VRAM versus 12 GB, the bandwidth advantage often permits efficient handling of modern models with quantization. Both GPUs share PCIe form factor and similar TDPs (200W versus 180W), but Ada Lovelace efficiency yields better performance per watt.
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 4070 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro P5000
Select the Quadro P5000 for workloads demanding over 12 GB VRAM, such as loading unoptimized legacy models or high-resolution scientific simulations requiring its 16 GB capacity. Its professional-grade drivers ensure stability in certified CAD and visualization software from 2016-era pipelines. At $0.78 per hour, it suits infrequent, memory-bound tasks where compute speed is secondary.
When to Choose the RTX 4070 Ti
The RTX 4070 Ti excels in compute-intensive modern AI tasks with 29.1 TFLOPS and 504 GB/s bandwidth, outperforming the P5000 in training and inference by over 3 times. Its low cloud pricing from $0.08 per hour makes it ideal for high-volume workloads like generative AI or gaming simulations. Ada Lovelace features enhance ray tracing and DLSS for creative applications.
Use Cases
The RTX 4070 Ti's 29.1 TFLOPS FP16 performance accelerates training epochs over 3 times faster than the P5000's 8.9 TFLOPS. Higher 504 GB/s bandwidth supports larger batches.
RTX 4070 Ti handles inference at 29.1 TFLOPS with 504 GB/s bandwidth for low-latency serving. It outperforms P5000 significantly in token throughput.
29.1 TFLOPS on RTX 4070 Ti speeds up fine-tuning iterations compared to 8.9 TFLOPS on P5000. Bandwidth advantage aids efficient gradient updates.
Ada Lovelace architecture on RTX 4070 Ti optimizes diffusion models with 29.1 TFLOPS and superior tensor cores over Pascal's 8.9 TFLOPS.
P5000's 16 GB VRAM handles large datasets better than 12 GB on RTX 4070 Ti in memory-intensive simulations. It suffices where raw compute is not critical.
Frequently Asked Questions
Which GPU has more VRAM: Quadro P5000 or RTX 4070 Ti?▾
The Quadro P5000 has 16 GB GDDR5X VRAM, exceeding the RTX 4070 Ti's 12 GB GDDR6X. This makes P5000 better for VRAM-limited tasks. Bandwidth favors RTX 4070 Ti at 504 GB/s over 288 GB/s.
How do TFLOPS compare between Quadro P5000 and RTX 4070 Ti?▾
RTX 4070 Ti offers 29.1 TFLOPS in FP16 and FP32, 3.3 times the P5000's 8.9 TFLOPS. This gap impacts AI performance heavily. Both share equal FP16 and FP32 rates.
What are the cloud prices for these GPUs?▾
Quadro P5000 pricing starts at $0.78 per hour average across 6 offers. RTX 4070 Ti is from $0.08 per hour (average $0.22 per hour) across 5 offers. RTX 4070 Ti provides better value.
Which has higher memory bandwidth?▾
RTX 4070 Ti achieves 504 GB/s, 1.75 times the Quadro P5000's 288 GB/s. This benefits data-heavy workloads. VRAM is higher on P5000 at 16 GB.
What are the TDPs of Quadro P5000 and RTX 4070 Ti?▾
Quadro P5000 has 180W TDP, while RTX 4070 Ti uses 200W. Both fit PCIe slots. Newer Ada architecture offers better efficiency per watt.
Which is newer: Pascal Quadro P5000 or Ada RTX 4070 Ti?▾
RTX 4070 Ti uses 2023 Ada Lovelace architecture, versus 2016 Pascal on P5000. This brings tensor core improvements. Performance scales with 29.1 TFLOPS versus 8.9 TFLOPS.
Which is cheaper to rent, the Quadro P5000 or the RTX 4070?▾
Cloud rental prices for both the Quadro P5000 and RTX 4070 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 4070?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro P5000 and RTX 4070 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 4070?▾
The Quadro P5000 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 3.3x the FP16 throughput and 1.8x the memory bandwidth of the Quadro P5000.

