Specifications Compared
| Spec | QUADRO-P6000 | RTX-3070 |
|---|---|---|
| TDP | 250W | 220W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 3,840 | 5,888 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 12.6 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 432 GB/s | 448 GB/s |
Performance Analysis
The RTX 3070's 20.3 TFLOPS in FP16 and FP32 exceeds the Quadro P6000's 12.6 TFLOPS by 61 percent, translating to faster deep learning training and inference times. For training, this boost shortens epochs on datasets using half-precision arithmetic, common in modern frameworks. Inference benefits similarly: higher throughput handles more queries per second on the 3070. Memory bandwidth of 448 GB/s on the 3070 supports larger batch sizes than the P6000's 432 GB/s in bandwidth-constrained scenarios, though the difference measures only 3.7 percent. The P6000's 24 GB VRAM accommodates models or batches exceeding 8 GB, preventing out-of-memory errors during training large transformers. The 3070's lower 220 W TDP versus 250 W aids dense cloud deployments, reducing power costs alongside its $0.04 per hour starting price.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
Quadro P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the Quadro P6000
Select the Quadro P6000 for memory-intensive tasks like training models over 8 GB, such as certain large language models or high-resolution simulations. Its 24 GB GDDR5X VRAM fits datasets that cause swapping on the RTX 3070, justifying the $1.10 per hour average despite lower 12.6 TFLOPS.
When to Choose the RTX 3070
Opt for the RTX 3070 in performance-driven or budget-limited projects, where 20.3 TFLOPS accelerates fine-tuning and inference at $0.08 per hour average. Its Ampere architecture and 448 GB/s bandwidth excel in tasks fitting within 8 GB VRAM, like Stable Diffusion or standard ML workflows. Lower 220 W TDP enhances scalability in multi-GPU cloud setups.
Use Cases
The Quadro P6000's 24 GB VRAM handles large language models exceeding 8 GB, preventing memory errors during training. The RTX 3070's higher 20.3 TFLOPS cannot compensate for insufficient capacity in VRAM-heavy setups.
RTX 3070's 20.3 TFLOPS enables faster query throughput for inference on models fitting 8 GB VRAM. Its $0.08 per hour pricing supports high-volume deployments over the P6000's costlier 12.6 TFLOPS.
Fine-tuning typically fits within 8 GB, where the RTX 3070's 61 percent compute advantage speeds iterations. Lower $0.04 per hour starting rate maximizes efficiency.
Stable Diffusion runs effectively on 8 GB VRAM, leveraging RTX 3070's 20.3 TFLOPS for quicker image generation. Bandwidth of 448 GB/s supports standard batch sizes at low $0.08 average cost.
P6000's 24 GB suits memory-bound simulations; RTX 3070's 20.3 TFLOPS fits compute-heavy codes within 8 GB. Choice depends on VRAM needs versus $0.08 per hour pricing.
Frequently Asked Questions
Which GPU has more VRAM, Quadro P6000 or RTX 3070?▾
The Quadro P6000 provides 24 GB GDDR5X VRAM, tripling the RTX 3070's 8 GB GDDR6. This makes the P6000 preferable for large models. The 3070 suffices for tasks under 8 GB.
What is the FP32 performance difference between Quadro P6000 and RTX 3070?▾
RTX 3070 achieves 20.3 TFLOPS FP32, 61 percent above the Quadro P6000's 12.6 TFLOPS. This accelerates training and inference on the 3070. Both match FP16 to FP32 ratios.
How do cloud prices compare for Quadro P6000 vs RTX 3070?▾
Quadro P6000 averages $1.10 per hour from $1.10 across 6 offers; RTX 3070 averages $0.08 from $0.04 across 6 offers. The 3070 costs 13 times less hourly. Prices reflect live gpuperhour.com data.
Which has higher memory bandwidth?▾
RTX 3070 offers 448 GB/s, surpassing Quadro P6000's 432 GB/s by 3.7 percent. This aids larger batches on the 3070. VRAM capacity remains the P6000 strength.
Is RTX 3070 more power efficient than Quadro P6000?▾
RTX 3070 draws 220 W TDP, below Quadro P6000's 250 W. This lowers operational costs in clouds. Ampere architecture enhances efficiency alongside performance.
Can RTX 3070 replace Quadro P6000 in professional workloads?▾
RTX 3070 replaces P6000 where 8 GB VRAM suffices, with 20.3 TFLOPS versus 12.6. P6000 endures for 24 GB needs. Cloud pricing favors 3070 at $0.08 average.
Which is cheaper to rent, the Quadro P6000 or the RTX 3070?▾
Cloud rental prices for both the Quadro P6000 and RTX 3070 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 P6000 have compared to the RTX 3070?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find Quadro P6000 and RTX 3070 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 P6000 and the RTX 3070?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 1.6x the FP16 throughput and 1.0x the memory bandwidth of the Quadro P6000.