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's 29.1 TFLOPS in FP16 and FP32 surpasses the Quadro P5000's 8.9 TFLOPS by a factor of 3.3, enabling faster model training and inference cycles. This delta means training a neural network on the 4070 completes in roughly one-third the time of the P5000, assuming similar batch sizes. For inference, higher throughput supports more simultaneous queries per hour.
Memory bandwidth of 504 GB/s on the 4070, versus 288 GB/s on the P5000, allows larger batch sizes without bottlenecks, improving utilization in data-heavy tasks like Stable Diffusion. The P5000's 16 GB VRAM edges out the 4070's 12 GB for models exceeding 12 GB, but slower bandwidth limits effective use. TDP difference of 20 W remains minor for cloud scaling.
Overall, these specs position the 4070 for modern AI pipelines, where compute and bandwidth drive efficiency over raw VRAM capacity.
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
| 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
The Quadro P5000 suits legacy professional applications requiring Quadro-certified drivers, such as CAD software certified up to 2016 Pascal era. Its 16 GB GDDR5X VRAM handles larger datasets than the 4070's 12 GB in memory-bound visualization tasks. At $0.78 per hour, it fits niche workstation emulation where driver stability trumps speed.
When to Choose the RTX 4070
The RTX 4070 excels in contemporary machine learning workloads, leveraging 29.1 TFLOPS FP32 performance and 504 GB/s bandwidth for rapid training and inference. Its cloud pricing from $0.07 per hour across nine offers delivers superior value over the P5000's $0.78 per hour. Choose it for AI development where generational compute gains outweigh 4 GB less VRAM.
Use Cases
The RTX 4070's 29.1 TFLOPS FP16 performance trains large language models 3.3 times faster than the P5000's 8.9 TFLOPS. Higher 504 GB/s bandwidth supports bigger batches for efficient scaling.
RTX 4070 delivers 29.1 TFLOPS FP32 for higher query throughput in inference. Its $0.19 per hour average cost enables cost-effective deployment over the P5000's $0.78 per hour.
29.1 TFLOPS on the 4070 speeds fine-tuning iterations compared to 8.9 TFLOPS on the P5000. Bandwidth of 504 GB/s handles parameter updates without delays.
RTX 4070's Ada architecture and 504 GB/s bandwidth generate images faster via 29.1 TFLOPS compute. Pricing from $0.07 per hour suits high-volume creative workflows.
The 4070's 3.3x FP32 advantage at 29.1 TFLOPS accelerates simulations over the P5000's 8.9 TFLOPS. 12 GB VRAM suffices for most datasets, with lower $0.19 per hour costs.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro P5000 provides 16 GB GDDR5X VRAM, exceeding the RTX 4070's 12 GB GDDR6X. This benefits memory-intensive tasks, though the 4070's higher bandwidth compensates in practice.
What is the performance difference in TFLOPS?▾
RTX 4070 offers 29.1 TFLOPS in FP16 and FP32, compared to 8.9 TFLOPS for the Quadro P5000. This results in approximately 3.3 times faster compute for AI workloads.
How do cloud prices compare?▾
RTX 4070 starts at $0.07 per hour with $0.19 average across nine offers, versus Quadro P5000's $0.78 average across six offers. The 4070 provides better value for most users.
Which has higher memory bandwidth?▾
RTX 4070 achieves 504 GB/s, surpassing the Quadro P5000's 288 GB/s. Higher bandwidth enables larger batch sizes in training and inference.
What are the TDP ratings?▾
Quadro P5000 draws 180 W, while RTX 4070 requires 200 W. The minor 20 W difference impacts scaling minimally in cloud environments.
Which is newer?▾
RTX 4070 uses 2023 Ada Lovelace architecture, versus 2016 Pascal in Quadro P5000. Newer design yields superior efficiency and features.
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.