Specifications Compared
| Spec | QUADRO-P5000 | RTX-4070 |
|---|---|---|
| TDP | 180W | 200W |
| VRAM | 16 GB | 12 GB |
| CUDA Cores | 2,560 | 5,888 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 288 GB/s | 504 GB/s |
Performance Analysis
Compute performance differs dramatically: the RTX 4070 SUPER reaches 35.5 TFLOPS in FP16 and FP32, versus the Quadro P5000's 8.9 TFLOPS, yielding roughly four times faster matrix operations. This gap shortens training times for deep learning models and speeds inference on neural networks, as FP16 handles half-precision prevalent in modern ML frameworks. Higher throughput reduces epochs needed for convergence. Memory bandwidth nearly doubles at 504 GB/s on the 4070 SUPER compared to 288 GB/s, minimizing stalls in data loading for large batches during training. This sustains higher throughputs in memory-bound workloads like LLM fine-tuning. The P5000 counters with 16 GB VRAM over 12 GB, accommodating bigger models without swapping, though slower bandwidth limits batch scaling.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.78/GPU/hr $1.56/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.78/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.78/GPU/hr | 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 P5000
The Quadro P5000 suits budget-conscious users needing ample VRAM immediately. Its 16 GB exceeds the RTX 4070 SUPER's 12 GB, fitting larger datasets or models in inference and visualization. Cloud pricing starts at $0.78 per hour across six offers, ideal for legacy software or professional apps certified on Pascal. Lower 180 W TDP conserves power in dense deployments.
When to Choose the RTX 4070 SUPER
Opt for the RTX 4070 SUPER in performance-driven scenarios like AI training or generative tasks. Its 35.5 TFLOPS dwarfs the P5000's 8.9 TFLOPS, accelerating Stable Diffusion renders or scientific simulations by fourfold. Superior 504 GB/s bandwidth supports bigger batches despite less VRAM. Ada features enhance ray tracing and tensor operations unavailable on Pascal.
Use Cases
RTX 4070 SUPER's 35.5 TFLOPS FP16 outperforms P5000's 8.9 TFLOPS, slashing training times. Higher 504 GB/s bandwidth handles large batches efficiently.
Quadro P5000's 16 GB VRAM exceeds 12 GB on 4070 SUPER for bigger models. Low $0.78/hr pricing suits sustained inference.
35.5 TFLOPS on RTX 4070 SUPER accelerates fine-tuning epochs four times faster than 8.9 TFLOPS. Bandwidth edge aids optimizer steps.
RTX 4070 SUPER's Ada architecture and 35.5 TFLOPS generate images quicker than P5000's 8.9 TFLOPS. Modern tensor cores optimize diffusion.
P5000's 16 GB VRAM fits large simulations; 4070 SUPER's 35.5 TFLOPS speeds FP32 tasks. Choice depends on VRAM needs versus compute.
Frequently Asked Questions
Which has more VRAM: Quadro P5000 or RTX 4070 SUPER?▾
The Quadro P5000 offers 16 GB GDDR5X VRAM, surpassing the RTX 4070 SUPER's 12 GB GDDR6X. This benefits memory-heavy tasks like large-model inference. The 4070 SUPER compensates with 504 GB/s bandwidth over 288 GB/s.
What is the performance difference between Quadro P5000 and RTX 4070 SUPER?▾
RTX 4070 SUPER delivers 35.5 TFLOPS in FP16 and FP32, about four times the Quadro P5000's 8.9 TFLOPS. This translates to faster ML training and rendering. Bandwidth rises from 288 GB/s to 504 GB/s.
Is Quadro P5000 cheaper in the cloud than RTX 4070 SUPER?▾
Quadro P5000 rents from $0.78 per hour across six providers. No live offers exist for RTX 4070 SUPER currently. P5000 provides immediate budget access.
Which GPU has lower power consumption?▾
Quadro P5000 draws 180 W TDP, below RTX 4070 SUPER's 220 W. This favors P5000 in power-limited cloud instances. Performance scales with higher TDP on SUPER.
Can RTX 4070 SUPER replace Quadro P5000 for professional work?▾
RTX 4070 SUPER's 35.5 TFLOPS and Ada features outperform P5000's 8.9 TFLOPS for modern apps. Legacy CAD may prefer P5000 certifications. Check software compatibility.
What architectures do these GPUs use?▾
Quadro P5000 uses Pascal from 2016; RTX 4070 SUPER employs Ada Lovelace from 2023. The seven-year gap yields 4x compute gains on SUPER. Both support PCIe.
Which is cheaper to rent, the Quadro P5000 or the RTX 4070?▾
Cloud rental prices for both the Quadro P5000 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 P5000 have compared to the RTX 4070?▾
The Quadro P5000 has 16 GB of GDDR5X memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find Quadro P5000 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 P5000 and the RTX 4070?▾
The Quadro P5000 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 3.3x the FP16 throughput and 1.8x the memory bandwidth of the Quadro P5000.