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
The RTX 4070 SUPER outperforms the Quadro RTX 5000 by over three times in compute: 35.5 TFLOPS FP16 and FP32 versus 11.2 TFLOPS. This delta accelerates machine learning training and inference tasks significantly, as FP16 handles mixed-precision models common in deep learning. Larger batch sizes become feasible on the RTX 4070 SUPER due to its 504 GB/s bandwidth compared to 448 GB/s, reducing data transfer bottlenecks in memory-bound operations. The Quadro RTX 5000 holds an edge with 16 GB VRAM over 12 GB, supporting bigger models without swapping. Newer Ada Lovelace architecture in the RTX 4070 SUPER improves power efficiency at 220W TDP versus 230W, yielding better performance per watt for sustained cloud runs.
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 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
Choose the Quadro RTX 5000 for workloads demanding more than 12 GB VRAM, such as large-scale scientific simulations or legacy professional applications certified for Turing GPUs. Its NVLink interconnect facilitates multi-GPU configurations unavailable on the RTX 4070 SUPER. Availability at $0.82 per hour makes it cost-effective for immediate deployment across two cloud providers.
When to Choose the RTX 4070 SUPER
The RTX 4070 SUPER suits high-throughput AI tasks where 35.5 TFLOPS FP16/FP32 speed trumps VRAM capacity. Modern Ada Lovelace features enhance inference efficiency for real-time applications like generative AI. Lower 220W TDP reduces cooling needs in dense cloud setups.
Use Cases
The RTX 4070 SUPER's 35.5 TFLOPS FP16 outperforms the Quadro RTX 5000's 11.2 TFLOPS, speeding up gradient computations. Higher bandwidth at 504 GB/s supports larger batches.
RTX 4070 SUPER delivers 35.5 TFLOPS FP32 for low-latency serving versus 11.2 TFLOPS on Quadro RTX 5000. Ada architecture optimizations favor inference efficiency.
Quadro RTX 5000's 16 GB VRAM handles larger models; RTX 4070 SUPER's 35.5 TFLOPS accelerates iterations. Choice depends on model size versus speed priority.
RTX 4070 SUPER's 504 GB/s bandwidth and 35.5 TFLOPS FP16 generate images faster than Quadro RTX 5000's 448 GB/s and 11.2 TFLOPS.
Quadro RTX 5000's 16 GB VRAM and NVLink suit memory-intensive simulations. Professional Turing validation ensures stability in HPC environments.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 5000 offers 16 GB GDDR6 VRAM, exceeding the RTX 4070 SUPER's 12 GB GDDR6X. This advantage aids memory-heavy tasks. Bandwidth favors the RTX 4070 SUPER at 504 GB/s over 448 GB/s.
What is the performance difference in TFLOPS?▾
RTX 4070 SUPER achieves 35.5 TFLOPS in FP16 and FP32, over three times the Quadro RTX 5000's 11.2 TFLOPS. This impacts ML workloads directly. Ada Lovelace drives the gain.
How do TDPs compare?▾
RTX 4070 SUPER consumes 220W TDP, slightly less than Quadro RTX 5000's 230W. Efficiency improves on the newer GPU. Both fit PCIe slots.
Is cloud pricing available?▾
Quadro RTX 5000 starts at $0.82 per hour across two providers. No live offers exist for RTX 4070 SUPER currently. Check gpuperhour.com for updates.
Which architecture is newer?▾
RTX 4070 SUPER uses 2023 Ada Lovelace architecture versus 2018 Turing on Quadro RTX 5000. Newer design boosts compute density. NVLink is exclusive to Quadro RTX 5000.
Does RTX 4070 SUPER support multi-GPU?▾
RTX 4070 SUPER lacks NVLink, unlike Quadro RTX 5000. PCIe scaling applies to both. Professional needs favor Quadro RTX 5000.
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.