Specifications Compared
| Spec | QUADRO-P4000 | RTX-2070 |
|---|---|---|
| TDP | 105W | 175W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,792 | 2,304 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 5.3 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 7.5 TFLOPS |
| Memory Bandwidth | 243 GB/s | 448 GB/s |
Performance Analysis
Key spec deltas favor the RTX 2070 in compute-intensive scenarios: its 7.5 TFLOPS FP32 rate exceeds the P4000's 5.3 TFLOPS by 41 percent, accelerating matrix multiplications central to deep learning. FP16 performance mirrors this gap, enabling 41 percent faster half-precision training on Turing versus Pascal. For inference, higher throughput reduces latency on models like transformers.
Memory bandwidth disparity proves critical: 448 GB/s on the RTX 2070 versus 243 GB/s on the P4000 supports 84 percent larger batch sizes before bottlenecks occur. This sustains higher utilization in training loops with data-heavy models, preventing stalls from slower GDDR5 access. The P4000's lower 105W TDP aids efficiency in power-capped environments, consuming 40 percent less than the 2070's 175W.
Turing's NVLink interconnect enables multi-GPU scaling absent on the single-link P4000, benefiting distributed training. Overall, these metrics translate to real-world speedups of 30 to 50 percent for the RTX 2070 in ML benchmarks, tempered by its higher power draw.
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
Select the Quadro P4000 for deployments prioritizing power efficiency: its 105W TDP uses 40 percent less energy than the RTX 2070's 175W, ideal for dense cloud instances or edge computing with thermal constraints. Professional certifications suit CAD and visualization workflows where Pascal stability ensures reliability over consumer Turing drivers.
When to Choose the RTX 2070
The RTX 2070 excels in high-throughput ML tasks: 7.5 TFLOPS FP32 outperforms the P4000's 5.3 TFLOPS by 41 percent, paired with 448 GB/s bandwidth for larger batches. At $0.04 per hour average versus $0.51, it delivers superior value for training and inference, with NVLink for scaling.
Use Cases
RTX 2070's 7.5 TFLOPS FP16 exceeds P4000's 5.3 TFLOPS by 41 percent, with 448 GB/s bandwidth supporting larger batches. Lower $0.04 per hour cost accelerates iterations.
Higher 7.5 TFLOPS FP32 on RTX 2070 reduces latency by 41 percent over P4000. Bandwidth advantage handles concurrent requests efficiently.
Turing's 84 percent bandwidth edge over 243 GB/s fits larger fine-tune datasets. Pricing at $0.04 per hour versus $0.51 favors extended sessions.
RTX 2070's Turing architecture and 7.5 TFLOPS boost image generation speeds by 41 percent. NVLink aids multi-GPU diffusion pipelines.
P4000's 105W TDP suits power-limited HPC clusters, with 5.3 TFLOPS sufficient for simulations. Professional drivers ensure numerical stability.
Frequently Asked Questions
Does the Quadro P4000 have more VRAM than RTX 2070?▾
Both GPUs feature 8 GB VRAM: P4000 uses GDDR5, while RTX 2070 employs faster GDDR6. Bandwidth differs at 243 GB/s for P4000 versus 448 GB/s for 2070.
Which is faster for machine learning: P4000 or RTX 2070?▾
RTX 2070 leads with 7.5 TFLOPS FP32 versus P4000's 5.3 TFLOPS, a 41 percent gain. This translates to quicker training and inference cycles.
What are the cloud rental prices for these GPUs?▾
Quadro P4000 averages $0.51 per hour across 6 offers from $0.51. RTX 2070 averages $0.04 per hour across 2 offers from $0.02.
Is RTX 2070 more power efficient than P4000?▾
No: RTX 2070 draws 175W TDP, 67 percent more than P4000's 105W. P4000 suits low-power scenarios better.
Can these GPUs scale with multi-GPU setups?▾
RTX 2070 supports NVLink for interconnects, enabling efficient scaling. P4000 lacks listed interconnect options, limiting multi-GPU use.
Which architecture is newer?▾
Turing in RTX 2070 from 2018 postdates Pascal in P4000 from 2017. Turing adds RT cores absent in Pascal.
Which is cheaper to rent, the Quadro P4000 or the RTX 2070?▾
Cloud rental prices for both the Quadro P4000 and RTX 2070 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 2070?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 2070 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 2070?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 2070 uses Turing (2018). The RTX 2070 delivers 1.4x the FP16 throughput and 1.8x the memory bandwidth of the Quadro P4000.