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
The RTX 2070 SUPER outperforms the Quadro P4000 in raw compute: 9.1 TFLOPS FP32 versus 5.3 TFLOPS enables 72 percent faster single-precision operations. This delta accelerates training loops in machine learning where FP32 dominates model updates. FP16 performance follows suit at 9.1 TFLOPS versus 5.3 TFLOPS, benefiting half-precision inference on both GPUs equally in shader-limited scenarios. Turing architecture adds tensor cores absent in Pascal, boosting mixed-precision workloads beyond listed rates. Memory bandwidth doubles from 243 GB/s to 448 GB/s on the 2070 SUPER: larger batch sizes fit during training without swapping, reducing latency by up to 50 percent in bandwidth-bound models. The P4000's 105W TDP suits power-constrained clouds, while the 2070 SUPER's 215W demands robust cooling for sustained peaks.
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 suits budget-conscious deployments at $0.51 per hour. Its 105W TDP fits low-power cloud instances, ideal for CAD rendering or light visualization where 5.3 TFLOPS FP32 suffices. Legacy software certified for Quadro drivers favors the P4000 over consumer GeForce cards.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER excels in performance-driven workloads with 9.1 TFLOPS FP32 and 448 GB/s bandwidth. Machine learning training or gaming simulations leverage Turing tensor cores for faster convergence. High-bandwidth tasks like large-model inference prioritize the 2070 SUPER despite absent cloud pricing.
Use Cases
The RTX 2070 SUPER's 9.1 TFLOPS FP16 and 448 GB/s bandwidth handle larger batches and faster iterations than the P4000's 5.3 TFLOPS and 243 GB/s.
Turing tensor cores on the 2070 SUPER accelerate FP16 inference at 9.1 TFLOPS, outperforming Pascal's 5.3 TFLOPS scalar units on the P4000.
Higher 9.1 TFLOPS FP32 on the 2070 SUPER speeds gradient computations, while doubled bandwidth supports bigger models versus the P4000.
The 2070 SUPER's Turing architecture and 448 GB/s bandwidth enable quicker diffusion steps than the P4000's 243 GB/s Pascal limits.
P4000's 105W TDP and $0.51 per hour suit light simulations at 5.3 TFLOPS; 2070 SUPER's 9.1 TFLOPS fits intensive FP32 workloads.
Frequently Asked Questions
Which GPU has higher performance: Quadro P4000 or RTX 2070 SUPER?▾
The RTX 2070 SUPER leads with 9.1 TFLOPS FP32 compared to the P4000's 5.3 TFLOPS. Bandwidth also favors the 2070 SUPER at 448 GB/s over 243 GB/s. This translates to faster machine learning and rendering tasks.
What is the VRAM and memory bandwidth difference?▾
Both GPUs offer 8 GB VRAM, but types differ: GDDR5 on P4000 versus GDDR6 on 2070 SUPER. Bandwidth stands at 243 GB/s for P4000 and 448 GB/s for 2070 SUPER, aiding larger datasets on the latter.
Is the Quadro P4000 cheaper in the cloud?▾
Yes, P4000 pricing starts at $0.51 per hour across 6 offers. No live offers exist for RTX 2070 SUPER. Lower 105W TDP adds efficiency for prolonged runs.
Does RTX 2070 SUPER support NVLink?▾
The RTX 2070 SUPER uses PCIe interconnect without NVLink. Quadro P4000 also lacks NVLink. Multi-GPU scaling relies on PCIe for both.
Which is better for machine learning training?▾
RTX 2070 SUPER excels with 9.1 TFLOPS FP16 and tensor cores versus P4000's 5.3 TFLOPS scalar FP16. Bandwidth of 448 GB/s supports bigger batches.
What are the TDP ratings?▾
Quadro P4000 TDP is 105W, suitable for low-power setups. RTX 2070 SUPER requires 215W, demanding stronger power delivery in clouds.
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.
