Specifications Compared
| Spec | QUADRO-P4000 | RTX-5070 |
|---|---|---|
| TDP | 105W | 250W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 1,792 | 6,144 |
| Memory Type | GDDR5 | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 40.6 TFLOPS |
| Memory Bandwidth | 243 GB/s | 448 GB/s |
Performance Analysis
The RTX 5070 Ti vastly outpaces the Quadro P4000 in raw compute: 40.6 TFLOPS FP32 versus 5.3 TFLOPS represents a 7.7 times increase. This delta translates to dramatically faster matrix multiplications essential for deep learning training and inference, enabling the RTX 5070 Ti to process models in minutes that take hours on the P4000. Since both GPUs offer identical FP16 and FP32 rates internally, the upgrade benefits half-precision workflows like modern AI without format-specific penalties.
Memory bandwidth of 448 GB/s on the RTX 5070 Ti compared to 243 GB/s on the P4000 supports larger batch sizes in training, reducing per-iteration overhead and improving throughput for datasets exceeding 8 GB VRAM limits. The 12 GB GDDR7 capacity handles bigger models outright, avoiding out-of-memory errors common on the P4000's 8 GB GDDR5. However, the RTX 5070 Ti's 250W TDP demands more cooling than the P4000's 105W, impacting dense cloud deployments.
In real-world terms, these specs position the RTX 5070 Ti for high-throughput AI pipelines, while the P4000 suits lighter legacy loads where its lower power draw offsets modest performance.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | Available |
When to Choose the Quadro P4000
The Quadro P4000 excels in power-constrained environments: its 105W TDP versus 250W on the RTX 5070 Ti enables higher instance density in clouds with thermal limits. It also offers greater availability with 6 live offers at a stable $0.51 per hour average, ideal for predictable budgeting in legacy CAD or visualization workflows certified for Quadro drivers. Choose it when modern performance exceeds requirements and reliability trumps speed.
When to Choose the RTX 5070 Ti
The RTX 5070 Ti dominates demanding AI and rendering tasks: 40.6 TFLOPS FP32 and 12 GB VRAM handle large models infeasible on the P4000's 5.3 TFLOPS and 8 GB. At $0.19 per hour average, it delivers superior cost-performance for training or inference. Select it for any compute-intensive workload leveraging Blackwell's 448 GB/s bandwidth.
Use Cases
The RTX 5070 Ti's 40.6 TFLOPS FP16 and 12 GB VRAM support large batch sizes for efficient training, far beyond the P4000's 5.3 TFLOPS and 8 GB limits.
448 GB/s bandwidth on the RTX 5070 Ti enables high-throughput inference with bigger models; the P4000's 243 GB/s bottlenecks real-time serving.
RTX 5070 Ti's 7.7x higher 40.6 TFLOPS accelerates gradient updates; P4000's 5.3 TFLOPS prolongs iterations on datasets over 8 GB.
12 GB GDDR7 and Blackwell architecture on RTX 5070 Ti generate images 7x faster than P4000's Pascal-era 8 GB GDDR5 setup.
RTX 5070 Ti's 40.6 TFLOPS FP32 outperforms P4000's 5.3 TFLOPS for simulations; higher bandwidth aids large matrix operations.
Frequently Asked Questions
Which GPU has higher performance?▾
The RTX 5070 Ti achieves 40.6 TFLOPS in FP32, 7.7 times the Quadro P4000's 5.3 TFLOPS. This makes it vastly superior for compute-heavy tasks like AI training.
How do VRAM and bandwidth compare?▾
RTX 5070 Ti offers 12 GB GDDR7 with 448 GB/s bandwidth versus P4000's 8 GB GDDR5 at 243 GB/s. The upgrade supports larger models and batch sizes.
What are the cloud pricing differences?▾
Quadro P4000 averages $0.51 per hour across 6 offers; RTX 5070 Ti averages $0.19 per hour across 2 offers. RTX provides better value for performance.
Which has lower power consumption?▾
Quadro P4000 draws 105W TDP compared to RTX 5070 Ti's 250W. P4000 suits power-sensitive setups.
What architectures do they use?▾
P4000 uses Pascal from 2017; RTX 5070 Ti uses Blackwell from 2025. The gap explains the 7.7x compute advantage.
Is RTX 5070 Ti better for AI?▾
Yes, with 40.6 TFLOPS FP16/FP32 and 12 GB VRAM, it excels in LLM tasks over P4000's 5.3 TFLOPS and 8 GB.
Which is cheaper to rent, the Quadro P4000 or the RTX 5070?▾
Cloud rental prices for both the Quadro P4000 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 P4000 have compared to the RTX 5070?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find Quadro P4000 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 P4000 and the RTX 5070?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 5070 uses Blackwell (2025). The RTX 5070 delivers 7.7x the FP16 throughput and 1.8x the memory bandwidth of the Quadro P4000.