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
Raw compute favors the Quadro P6000 with 12.6 TFLOPS FP32 over the RTX 2070 SUPER's 9 TFLOPS, accelerating general training loops and FP32-dominant inference by about 40 percent in non-tensor workloads. The identical FP16 ratings suggest parity in half-precision tasks without optimizations, but Turing tensor cores enable real-world FP16 boosts up to 36 TFLOPS, benefiting mixed-precision ML training. This delta influences model convergence speed: P6000 for legacy code, 2070 SUPER for framework-accelerated pipelines.
VRAM disparity defines batch size limits: 24 GB on P6000 handles models up to 20 billion parameters comfortably, versus 8 GB on 2070 SUPER capping at smaller scales and risking swaps. Bandwidth edges slightly to 2070 SUPER at 448 GB/s from 432 GB/s, aiding frequent data loads, yet P6000's capacity reduces overall transfer needs. Lower 215W TDP on 2070 SUPER improves density in multi-GPU clouds versus 250W.
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 professional applications like CAD rendering or scientific visualization requiring 24 GB VRAM to load complex scenes without paging. Its 12.6 TFLOPS FP32 outperforms 9 TFLOPS on RTX 2070 SUPER in sustained compute, ideal for workstation-certified software. Cloud availability at $1.10/hr across 6 providers ensures accessible scaling for legacy Pascal-optimized pipelines.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER suits gaming, ray-traced rendering, or tensor-optimized inference where Turing architecture delivers RT cores and DLSS absent in Pascal. With 448 GB/s bandwidth and 215W TDP, it offers 14 percent better efficiency than P6000's 250W for power-sensitive setups. Consumer workloads under 8 GB VRAM thrive here, though cloud scarcity pushes on-premises preference.
Use Cases
Quadro P6000's 24 GB VRAM supports larger models and batch sizes critical for LLM training, avoiding out-of-memory issues common with RTX 2070 SUPER's 8 GB.
P6000 handles high-memory inference at 12.6 TFLOPS FP32; 2070 SUPER leverages tensor cores for optimized low-latency serving under 8 GB constraints.
24 GB VRAM on P6000 accommodates full fine-tuning datasets, with 432 GB/s bandwidth matching sustained loads better than 2070 SUPER's capacity limits.
RTX 2070 SUPER's Turing tensor cores accelerate diffusion models efficiently at 448 GB/s, outperforming Pascal in generative AI despite lower VRAM.
P6000's 12.6 TFLOPS FP32 and 24 GB VRAM excel in simulations with large arrays, where 2070 SUPER's 8 GB falls short for high-fidelity computations.
Frequently Asked Questions
What is the VRAM difference between Quadro P6000 and RTX 2070 SUPER?▾
The Quadro P6000 has 24 GB GDDR5X VRAM, three times more than the RTX 2070 SUPER's 8 GB GDDR6. This makes P6000 superior for memory-heavy tasks. Bandwidth stands at 432 GB/s for P6000 versus 448 GB/s for 2070 SUPER.
Which has higher FP32 performance: P6000 or 2070 SUPER?▾
Quadro P6000 delivers 12.6 TFLOPS FP32, exceeding RTX 2070 SUPER's 9 TFLOPS by 40 percent. Both match in listed FP16 at those rates without tensor boosts. Turing cores on 2070 SUPER enhance AI-specific FP16.
Is RTX 2070 SUPER more power efficient than Quadro P6000?▾
RTX 2070 SUPER consumes 215W TDP, 14 percent less than P6000's 250W. This aids multi-GPU density. Performance per watt favors 2070 SUPER in tensor tasks.
What are the cloud prices for these GPUs?▾
Quadro P6000 starts at $1.10/hr average across 6 live offers on gpuperhour.com. RTX 2070 SUPER has no live cloud offers currently. P6000 provides immediate rental options.
Does RTX 2070 SUPER support NVLink unlike P6000?▾
RTX 2070 SUPER includes NVLink interconnect for multi-GPU scaling, absent on Quadro P6000. Both use PCIe form factor. NVLink boosts 2070 SUPER in parallel training.
Which GPU is newer: P6000 or 2070 SUPER?▾
RTX 2070 SUPER uses 2018 Turing architecture, two years after P6000's 2016 Pascal. Turing adds RT and tensor cores. P6000 remains viable for VRAM-focused pro apps.
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.