Specifications Compared
| Spec | QUADRO-RTX-4000 | RTX-2070 |
|---|---|---|
| TDP | 160W | 175W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 2,304 | 2,304 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 288 |
| FP16 Performance | 7.1 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 7.1 TFLOPS | 7.5 TFLOPS |
| Memory Bandwidth | 416 GB/s | 448 GB/s |
Performance Analysis
Compute performance favors the RTX 2070 slightly with 7.5 TFLOPS in FP16 and FP32 compared to 7.1 TFLOPS on the Quadro RTX 4000. This 5.6% advantage accelerates training iterations and inference queries in deep learning models. For FP32-dominant workloads like scientific simulations, the RTX 2070 processes more operations per second.
Memory bandwidth impacts data throughput: 448 GB/s on RTX 2070 versus 416 GB/s on Quadro RTX 4000 allows larger batch sizes in training, reducing overhead by handling more samples per pass. Both share 8 GB VRAM, limiting them to small-to-medium models. The RTX 2070's higher TDP of 175W reflects its performance edge over the Quadro's 160W.
In inference scenarios, FP16 parity ensures similar half-precision speeds, but NVLink on RTX 2070 enhances distributed inference across nodes.
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 power-sensitive cloud instances with its 160W TDP compared to 175W on RTX 2070. It appears in 5 live cloud offers at an average $0.56 per hour, providing more availability for professional workflows requiring certified drivers. Select it when stability in visualization tasks outweighs raw compute.
When to Choose the RTX 2070
The RTX 2070 excels in cost-driven AI projects with pricing from $0.02 per hour, averaging $0.04 across offers. Its 7.5 TFLOPS FP32 performance and 448 GB/s bandwidth outperform the Quadro RTX 4000's 7.1 TFLOPS and 416 GB/s. NVLink support enables efficient multi-GPU setups for scaling.
Use Cases
RTX 2070's 7.5 TFLOPS FP32 and 448 GB/s bandwidth handle larger batches faster than Quadro RTX 4000's 7.1 TFLOPS and 416 GB/s. Its $0.02 per hour pricing reduces costs for extended sessions.
Higher 7.5 TFLOPS FP16 on RTX 2070 accelerates queries over Quadro RTX 4000's 7.1 TFLOPS. NVLink aids multi-GPU inference scaling.
Both offer 8 GB VRAM and similar 7.1-7.5 TFLOPS FP32 for small models. Choose RTX 2070 for $0.02 per hour savings or Quadro RTX 4000 for more cloud availability.
RTX 2070's 448 GB/s bandwidth supports faster image generation than 416 GB/s on Quadro RTX 4000. Lower pricing enables prolonged creative workloads.
7.5 TFLOPS FP32 on RTX 2070 outperforms 7.1 TFLOPS on Quadro RTX 4000 in simulations. NVLink facilitates parallel computing clusters.
Frequently Asked Questions
Which GPU has higher performance?▾
The RTX 2070 leads with 7.5 TFLOPS in FP16 and FP32 versus 7.1 TFLOPS on Quadro RTX 4000. This provides a 5.6% compute advantage in AI tasks.
What is the memory bandwidth difference?▾
RTX 2070 offers 448 GB/s compared to 416 GB/s on Quadro RTX 4000. Higher bandwidth on RTX 2070 supports larger batch sizes in training.
How do prices compare in the cloud?▾
Quadro RTX 4000 starts at $0.56 per hour across 5 offers, averaging $0.56. RTX 2070 begins at $0.02 per hour across 2 offers, averaging $0.04.
Which has lower power consumption?▾
Quadro RTX 4000 uses 160W TDP versus 175W on RTX 2070. Lower TDP suits power-constrained environments.
Do they support multi-GPU interconnects?▾
RTX 2070 includes NVLink for multi-GPU communication, while Quadro RTX 4000 relies on PCIe only. NVLink enhances scaling in distributed workloads.
Are VRAM amounts the same?▾
Both GPUs provide 8 GB GDDR6 VRAM. This capacity fits small-to-medium ML models on either.
Which is cheaper to rent, the Quadro RTX 4000 or the RTX 2070?▾
Cloud rental prices for both the Quadro RTX 4000 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 RTX 4000 have compared to the RTX 2070?▾
The Quadro RTX 4000 has 8 GB of GDDR6 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find Quadro RTX 4000 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 RTX 4000 and the RTX 2070?▾
The Quadro RTX 4000 uses the Turing architecture (2018) while the RTX 2070 uses Turing (2018). The RTX 2070 delivers 1.1x the FP16 throughput and 1.1x the memory bandwidth of the Quadro RTX 4000.
