Specifications Compared
| Spec | QUADRO-P6000 | RTX-2070 |
|---|---|---|
| TDP | 250W | 175W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 3,840 | 2,304 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 12.6 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 12.6 TFLOPS | 7.5 TFLOPS |
| Memory Bandwidth | 432 GB/s | 448 GB/s |
Performance Analysis
Compute performance favors the Quadro P6000 with 12.6 TFLOPS FP32 versus the RTX 2070's 7.5 TFLOPS: this gap accelerates training loops and simulations requiring full-precision arithmetic. FP16 rates follow suit at 12.6 TFLOPS for P6000 against 7.5 TFLOPS, benefiting mixed-precision training and inference in deep learning frameworks.
VRAM disparity defines real-world limits: 24 GB on P6000 enables larger batch sizes in model training, minimizing iterations and overhead, while 8 GB on RTX 2070 constrains to smaller datasets or models. Memory bandwidth remains competitive at 432 GB/s for P6000 and 448 GB/s for RTX 2070, ensuring similar data throughput but amplifying P6000's edge in sustained large-batch workloads. Higher 250W TDP on P6000 reflects its capability versus 175W on RTX 2070.
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 applications like training models exceeding 8 GB VRAM requirements: its 24 GB capacity prevents out-of-memory failures during large-batch processing. The 12.6 TFLOPS FP32 outperforms the RTX 2070's 7.5 TFLOPS, justifying $1.10 per hour pricing for professional compute tasks despite 250W TDP.
When to Choose the RTX 2070
Opt for the RTX 2070 in budget-conscious deployments with pricing from $0.02 per hour: 8 GB GDDR6 suffices for inference and fine-tuning smaller models. Lower 175W TDP reduces operational costs, and NVLink interconnect enables scalable multi-GPU configurations unavailable on the P6000.
Use Cases
24 GB VRAM on Quadro P6000 accommodates large language models and bigger batches, unlike 8 GB on RTX 2070. Higher 12.6 TFLOPS FP32 accelerates convergence.
RTX 2070's $0.02 per hour pricing supports high-throughput serving with 7.5 TFLOPS FP16. 8 GB VRAM handles typical inference payloads efficiently.
Fine-tuning often fits within 8 GB on RTX 2070 for cost savings, but P6000's 24 GB aids larger datasets. Compute at 12.6 TFLOPS versus 7.5 TFLOPS sways by scale.
RTX 2070's Turing architecture and NVLink optimize image generation pipelines at $0.04 per hour average. 448 GB/s bandwidth matches diffusion model data flows.
Quadro P6000's 12.6 TFLOPS FP32 excels in simulations needing precision, with 24 GB VRAM for complex datasets. Bandwidth of 432 GB/s sustains high-fidelity computations.
Frequently Asked Questions
Which GPU has more VRAM: Quadro P6000 or RTX 2070?▾
The Quadro P6000 provides 24 GB GDDR5X VRAM, three times the RTX 2070's 8 GB GDDR6. This makes P6000 preferable for large models. RTX 2070 suits lighter workloads.
How do cloud prices compare for Quadro P6000 and RTX 2070?▾
Quadro P6000 starts at $1.10 per hour average across six offers, while RTX 2070 is from $0.02 per hour average across two offers. Price gap favors RTX 2070 for extended runs. Availability influences final selection.
What are the FP32 performance differences?▾
Quadro P6000 achieves 12.6 TFLOPS FP32, surpassing RTX 2070's 7.5 TFLOPS. This benefits compute-heavy training tasks. FP16 matches the pattern at identical rates per GPU.
Which has higher memory bandwidth?▾
RTX 2070 offers 448 GB/s, slightly above Quadro P6000's 432 GB/s. Bandwidth impacts data-intensive batch processing minimally here. Both PCIe form factors ensure compatibility.
Compare TDP and power efficiency?▾
Quadro P6000 consumes 250W TDP, higher than RTX 2070's 175W. Lower TDP on RTX 2070 cuts cloud power surcharges. Efficiency aligns with Turing's generational improvements.
Does RTX 2070 support NVLink unlike Quadro P6000?▾
RTX 2070 includes NVLink for multi-GPU scaling, absent in Quadro P6000. This aids distributed training setups. Both use PCIe form factors individually.
Which is cheaper to rent, the Quadro P6000 or the RTX 2070?▾
Cloud rental prices for both the Quadro P6000 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 P6000 have compared to the RTX 2070?▾
The Quadro P6000 has 24 GB of GDDR5X memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find Quadro P6000 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 P6000 and the RTX 2070?▾
The Quadro P6000 uses the Pascal architecture (2016) while the RTX 2070 uses Turing (2018). The Quadro P6000 delivers 1.7x the FP16 throughput and 1.0x the memory bandwidth of the RTX 2070.