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
Raw compute power favors the RTX 2070 SUPER: its 9.1 TFLOPS FP32 rating exceeds the Quadro RTX 4000's 7.1 TFLOPS by 28 percent, yielding faster matrix multiplications in training loops. For FP16 precision prevalent in modern neural networks, the same 28 percent uplift accelerates inference passes and reduces epoch times in frameworks like TensorFlow.
Memory bandwidth impacts data throughput directly: 448 GB/s on the RTX 2070 SUPER supports 8 percent larger batch sizes than the Quadro RTX 4000's 416 GB/s before saturation occurs. This benefits memory-bound operations in fine-tuning or diffusion models, where higher bandwidth minimizes stalls.
Power efficiency differentiates usage: the Quadro RTX 4000's 160 W TDP consumes 25 percent less energy than the RTX 2070 SUPER's 215 W, extending runtime in capped cloud instances without performance throttling.
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
Select the Quadro RTX 4000 for certified professional applications like CAD, DCC, or medical imaging, where NVIDIA's validated drivers ensure stability absent in consumer GeForce cards. Its 160 W TDP fits power-limited cloud servers, and $0.56 per hour pricing across five providers enables cost-effective scaling.
Availability trumps raw specs in cloud rentals: with no live offers for the RTX 2070 SUPER, the Quadro RTX 4000 delivers immediate deployment for workflows prioritizing reliability over peak throughput.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER suits gaming workloads, real-time ray tracing, or compute tasks demanding peak FP32 performance at 9.1 TFLOPS. Higher 448 GB/s bandwidth excels in bandwidth-sensitive rendering or gaming AI simulations.
Choose it where on-premises hardware is feasible, as its 28 percent compute advantage over 7.1 TFLOPS outweighs the Quadro RTX 4000 in uncapped environments, despite higher 215 W power draw.
Use Cases
RTX 2070 SUPER's 9.1 TFLOPS FP32 provides 28 percent faster training than Quadro RTX 4000's 7.1 TFLOPS on large models.
Both offer 8 GB VRAM for common LLMs; RTX 2070 SUPER's 448 GB/s bandwidth edges batch processing, but Quadro's availability at $0.56/hr suits production.
Higher 9.1 TFLOPS FP16 on RTX 2070 SUPER accelerates gradient computations by 28 percent versus 7.1 TFLOPS.
RTX 2070 SUPER's 448 GB/s bandwidth handles larger image batches better than 416 GB/s, boosting generation throughput.
Quadro RTX 4000's professional drivers ensure precision in simulations; 160 W TDP fits constrained clusters.
Frequently Asked Questions
What is the FP32 performance difference between Quadro RTX 4000 and RTX 2070 SUPER?▾
The RTX 2070 SUPER delivers 9.1 TFLOPS FP32, 28 percent higher than the Quadro RTX 4000's 7.1 TFLOPS. This impacts training speed directly. Both share Turing architecture.
Which GPU has higher memory bandwidth?▾
RTX 2070 SUPER provides 448 GB/s, exceeding Quadro RTX 4000's 416 GB/s by 8 percent. Both use 8 GB GDDR6 VRAM. Bandwidth aids larger batches.
Is cloud pricing available for RTX 2070 SUPER?▾
No live cloud offers exist for RTX 2070 SUPER currently. Quadro RTX 4000 starts at $0.56 per hour average across five providers. Availability drives selection.
What are the TDP ratings?▾
Quadro RTX 4000 requires 160 W; RTX 2070 SUPER needs 215 W. Lower TDP benefits power-capped instances. Both are PCIe cards.
Do they have the same VRAM?▾
Yes, both feature 8 GB GDDR6. This equality suits similar model sizes in inference. Differences lie in bandwidth and compute.
Which is better for professional workloads?▾
Quadro RTX 4000 excels with certified drivers for CAD and simulation. RTX 2070 SUPER prioritizes raw 9.1 TFLOPS performance. Choose based on certification needs.
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.