Specifications Compared
| Spec | QUADRO-RTX-5000 | RTX-4070 |
|---|---|---|
| TDP | 230W | 200W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 3,072 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 384 | 184 |
| FP16 Performance | 11.2 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 11.2 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 448 GB/s | 504 GB/s |
Performance Analysis
Compute performance favors the RTX 4070 Ti SUPER decisively: its 29.1 TFLOPS in FP16 and FP32 exceeds the Quadro RTX 5000's 11.2 TFLOPS by 2.6 times. This delta accelerates deep learning training, where higher FP16 throughput processes more operations per second, and inference, enabling lower latency on models.
Memory bandwidth of 504 GB/s on the RTX 4070 Ti SUPER surpasses 448 GB/s on the Quadro RTX 5000, supporting larger batch sizes in training pipelines and reducing data transfer bottlenecks. The Ada Lovelace architecture optimizes tensor core efficiency over Turing, enhancing mixed-precision workloads.
Lower TDP at 200 W versus 230 W improves power efficiency, allowing more GPUs per cloud node without thermal limits.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 suits memory-constrained professional workflows: its 16 GB GDDR6 VRAM exceeds the 12 GB GDDR6X on the RTX 4070 Ti SUPER, handling larger datasets in visualization or simulation. NVLink interconnect enables scalable multi-GPU setups absent on the consumer card.
Legacy software certified for Quadro drivers benefits from its Turing stability, despite higher $0.82 per hour cloud costs.
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER dominates compute-heavy tasks: 29.1 TFLOPS FP16/FP32 performance triples the Quadro RTX 5000's 11.2 TFLOPS for rapid AI training and inference. Higher 504 GB/s bandwidth supports bigger batches efficiently.
At $0.09 per hour starting cloud price averaging $0.17, it delivers unmatched value with 200 W TDP for cost-sensitive deployments.
Use Cases
RTX 4070 Ti SUPER achieves 29.1 TFLOPS FP16, 2.6 times the Quadro RTX 5000's 11.2 TFLOPS, speeding up large model training epochs.
Higher 29.1 TFLOPS FP16/FP32 on RTX 4070 Ti SUPER reduces inference latency compared to 11.2 TFLOPS on Quadro RTX 5000.
RTX 4070 Ti SUPER's 504 GB/s bandwidth handles larger batches better than 448 GB/s on Quadro RTX 5000 during fine-tuning.
Ada Lovelace architecture and 29.1 TFLOPS on RTX 4070 Ti SUPER outperform Turing's 11.2 TFLOPS for image generation tasks.
Quadro RTX 5000's 16 GB VRAM and NVLink suit memory-intensive simulations better than RTX 4070 Ti SUPER's 12 GB.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 5000 provides 16 GB GDDR6 VRAM, more than the RTX 4070 Ti SUPER's 12 GB GDDR6X. This aids VRAM-limited workloads like large-model loading.
What are the cloud pricing differences?▾
Quadro RTX 5000 pricing averages $0.82 per hour across two offers. RTX 4070 Ti SUPER starts at $0.09 per hour, averaging $0.17 per hour across two offers.
Which has higher performance?▾
RTX 4070 Ti SUPER delivers 29.1 TFLOPS in FP16 and FP32, surpassing Quadro RTX 5000's 11.2 TFLOPS by 2.6 times. This boosts AI compute tasks.
What is the memory bandwidth comparison?▾
RTX 4070 Ti SUPER offers 504 GB/s bandwidth, higher than Quadro RTX 5000's 448 GB/s. Greater bandwidth supports larger batch sizes in training.
Which GPU uses less power?▾
RTX 4070 Ti SUPER has a 200 W TDP, lower than Quadro RTX 5000's 230 W. This enables better efficiency in cloud instances.
Does either support NVLink?▾
Quadro RTX 5000 includes NVLink for multi-GPU scaling. RTX 4070 Ti SUPER lacks this interconnect.
Which is cheaper to rent, the Quadro RTX 5000 or the RTX 4070?▾
Cloud rental prices for both the Quadro RTX 5000 and RTX 4070 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 5000 have compared to the RTX 4070?▾
The Quadro RTX 5000 has 16 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro RTX 5000 and RTX 4070 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 5000 and the RTX 4070?▾
The Quadro RTX 5000 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 2.6x the FP16 throughput and 1.1x the memory bandwidth of the Quadro RTX 5000.