Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-2060 |
|---|---|---|
| TDP | 160W | 160W |
| VRAM | 8 GB | 6-12 GB |
| CUDA Cores | 2,304 | 1,920 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | 240 |
| FP16 Performance | 7.1 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 416 GB/s | 336 GB/s |
Performance Analysis
Memory bandwidth marks the primary differentiator: the RTX 2060 SUPER's 448 GB/s exceeds the Quadro RTX 4000's 416 GB/s, enabling 7.7 percent larger batch sizes in deep learning training and inference. This advantage proves valuable for data-heavy models within the shared 8 GB VRAM limit, as higher throughput reduces data loading bottlenecks and accelerates convergence.
Both GPUs maintain a 1:1 FP16 to FP32 ratio, with 7.1 TFLOPS for the Quadro RTX 4000 and 7.2 TFLOPS for the RTX 2060 SUPER, supporting efficient mixed-precision workflows in training and real-time inference. The Quadro RTX 4000's lower 160 W TDP allows denser multi-GPU setups compared to the 175 W RTX 2060 SUPER, optimizing power-constrained cloud environments. Overall, real-world performance gaps remain under five percent in most compute benchmarks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
![]() Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
![]() Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
![]() Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
![]() Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 suits scenarios demanding immediate cloud availability and professional certifications. With pricing from $0.56 per hour across five providers, it enables quick deployment for CAD, simulation, and certified ML pipelines where the 416 GB/s bandwidth and 7.1 TFLOPS performance suffice within 8 GB VRAM.
When to Choose the RTX 2060 SUPER
Opt for the RTX 2060 SUPER in cost-sensitive consumer or gaming-adjacent workloads once availability improves. Its 448 GB/s bandwidth and 7.2 TFLOPS outperform the Quadro RTX 4000 marginally, benefiting high-batch inference and rendering tasks fitting in 8 GB VRAM.
Use Cases
Both GPUs share 8 GB VRAM limits and near-identical 7.1 to 7.2 TFLOPS FP16/FP32 performance, handling small-scale training adequately. Bandwidth differences minimally impact low-batch setups.
The RTX 2060 SUPER's 448 GB/s bandwidth supports larger inference batches versus the Quadro RTX 4000's 416 GB/s. This yields faster token generation rates for 8 GB models.
Quadro RTX 4000 availability at $0.56 per hour facilitates rapid fine-tuning iterations with its 7.1 TFLOPS capability. Lower 160 W TDP aids prolonged sessions.
RTX 2060 SUPER's 7.2 TFLOPS and higher 448 GB/s bandwidth accelerate diffusion model generation over the Quadro RTX 4000. Ideal for image synthesis pipelines.
Turing architecture parity in FP32 at 7.1 to 7.2 TFLOPS suits simulations within 8 GB VRAM. Choice hinges on pricing and availability.
Frequently Asked Questions
What is the memory bandwidth difference between Quadro RTX 4000 and RTX 2060 SUPER?▾
The RTX 2060 SUPER delivers 448 GB/s, surpassing the Quadro RTX 4000's 416 GB/s by 7.7 percent. This impacts batch processing in ML tasks. Both use 8 GB GDDR6 VRAM.
Which GPU has higher FP32 performance?▾
The RTX 2060 SUPER achieves 7.2 TFLOPS FP32, slightly above the Quadro RTX 4000's 7.1 TFLOPS. FP16 matches this ratio on both. Differences appear negligible in most workloads.
What are the TDPs of these GPUs?▾
Quadro RTX 4000 requires 160 W, while RTX 2060 SUPER draws 175 W. Lower TDP favors multi-GPU cloud density for the Quadro. Both fit PCIe slots.
Is cloud pricing available for RTX 2060 SUPER?▾
No live offers exist for RTX 2060 SUPER currently. Quadro RTX 4000 starts at $0.56 per hour across five providers. Availability drives selection.
Do both have the same VRAM?▾
Yes, both provide 8 GB GDDR6 VRAM. This limits model sizes equally. Bandwidth differentiates data handling efficiency.
Which is better for ML training?▾
Either works for small models due to similar 7.1 to 7.2 TFLOPS FP16/FP32. Quadro RTX 4000 wins on availability; RTX 2060 SUPER on bandwidth.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 2060?▾
Cloud rental prices for both the Quadro RTX 4000 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 RTX 4000 have compared to the RTX 2060?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find Quadro RTX 4000 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 RTX 4000 and the RTX 2060?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 2060 uses Turing (2019). The Quadro RTX 4000 delivers 1.1x the FP16 throughput and 1.2x the memory bandwidth of the RTX 2060.
