Specifications Compared
| Spec | QUADRO-P4000 | RTX-2060 |
|---|---|---|
| TDP | 105W | 160W |
| VRAM | 8 GB | 6-12 GB |
| CUDA Cores | 1,792 | 1,920 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 5.3 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 5.3 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 243 GB/s | 336 GB/s |
Performance Analysis
Compute performance favors the RTX 2060 SUPER: it delivers 7.2 TFLOPS in FP32 versus the Quadro P4000's 5.3 TFLOPS, enabling 36% faster matrix operations in training. The same holds for FP16 at 7.2 TFLOPS compared to 5.3 TFLOPS. For ML, Turing tensor cores accelerate FP16 inference and mixed-precision training beyond shader limits listed.
Memory bandwidth shows a clear divide: 448 GB/s on the RTX 2060 SUPER doubles the P4000's 243 GB/s. This sustains larger batch sizes in LLM training, minimizing data starvation and boosting throughput by up to 50% in bandwidth-bound scenarios.
Power profiles differ markedly: the P4000's 105 W TDP contrasts with 175 W on the SUPER. Lower draw supports higher GPU density in clouds, but the SUPER's generational advances yield better efficiency per watt at 41 TFLOPS per kW versus 50 TFLOPS per kW.
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 when cloud availability and cost dominate: instances start at $0.51 per hour across six providers. Its 105 W TDP fits power-constrained or multi-GPU environments without high cooling needs.
It excels in certified professional workflows like simulation and visualization, where 5.3 TFLOPS FP32 and 8 GB GDDR5 VRAM suffice, and Pascal drivers ensure stability.
When to Choose the RTX 2060 SUPER
Opt for the RTX 2060 SUPER in performance-critical setups demanding 7.2 TFLOPS FP32/FP16 and 448 GB/s bandwidth. Tensor and RT cores accelerate AI inference and ray-traced rendering unavailable on Pascal.
Suitable for on-premises gaming or ML development where cloud pricing is secondary, despite current lack of listings.
Use Cases
RTX 2060 SUPER's 7.2 TFLOPS FP32 and 448 GB/s bandwidth manage larger batches and faster iterations than P4000's 5.3 TFLOPS and 243 GB/s.
Turing tensor cores boost FP16 inference to leverage 7.2 TFLOPS effectively; outperforms P4000 by 36%.
8 GB VRAM on both supports small-to-medium models; P4000 wins on price, SUPER on speed.
RT and tensor cores on RTX 2060 SUPER optimize diffusion generation with 448 GB/s bandwidth.
Quadro P4000's 105 W TDP and $0.51/hr pricing suit long-running simulations with 5.3 TFLOPS FP32.
Frequently Asked Questions
What is the memory bandwidth of each GPU?▾
RTX 2060 SUPER provides 448 GB/s with GDDR6, nearly double the Quadro P4000's 243 GB/s GDDR5. Higher bandwidth aids large dataset processing. Both offer 8 GB VRAM.
Which has better FP32 performance?▾
RTX 2060 SUPER achieves 7.2 TFLOPS FP32, surpassing P4000's 5.3 TFLOPS by 36%. FP16 matches this delta at 7.2 versus 5.3 TFLOPS.
What are the cloud prices?▾
Quadro P4000 averages $0.51 per hour from six offers. RTX 2060 SUPER has no live cloud listings currently.
Compare their TDPs.▾
Quadro P4000 uses 105 W, lower than RTX 2060 SUPER's 175 W. This favors dense P4000 deployments.
Does the RTX 2060 SUPER have tensor cores?▾
Yes, Turing architecture includes tensor cores for ML acceleration beyond the listed 7.2 TFLOPS FP16. P4000 lacks them.
Which architecture is newer?▾
RTX 2060 SUPER uses 2019 Turing; Quadro P4000 is 2017 Pascal.
Which is cheaper to rent, the Quadro P4000 or the RTX 2060?▾
Cloud rental prices for both the Quadro P4000 and RTX 2060 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 2060?▾
The Quadro P4000 has 8 GB of GDDR5 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find Quadro P4000 and RTX 2060 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 2060?▾
The Quadro P4000 uses the Pascal architecture (2017) while the RTX 2060 uses Turing (2019). The RTX 2060 delivers 1.2x the FP16 throughput and 1.4x the memory bandwidth of the Quadro P4000.