Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-2070 |
|---|---|---|
| TDP | 260W | 175W |
| VRAM | 24 GB | 8 GB |
| CUDA Cores | 4,608 | 2,304 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | NVLink |
| Tensor Cores | 576 | 288 |
| FP16 Performance | 16.3 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 7.5 TFLOPS |
| Memory Bandwidth | 672 GB/s | 448 GB/s |
Performance Analysis
Compute throughput defines key workloads: the Quadro RTX 6000's 16.3 TFLOPS in FP16 and FP32 outperforms the RTX 2070 SUPER's 9.1 TFLOPS by 79 percent, accelerating training and inference phases in deep learning. For training large neural networks, this higher throughput reduces epoch times significantly. Inference benefits similarly, with faster forward passes on the Quadro RTX 6000. Memory capacity impacts model scale directly: 24 GB on the Quadro RTX 6000 accommodates models up to three times larger than the 8 GB limit on the RTX 2070 SUPER, preventing out-of-memory errors in LLM fine-tuning. Bandwidth differences matter for batch sizes: 672 GB/s on the Quadro RTX 6000 sustains larger batches without bottlenecks, unlike the 448 GB/s on the RTX 2070 SUPER, which constrains throughput in memory-intensive tasks like Stable Diffusion generation. Power draw at 260 W for the Quadro RTX 6000 versus 215 W reflects its denser compute density.
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When to Choose the Quadro RTX 6000
Opt for the Quadro RTX 6000 in professional environments requiring extensive VRAM, such as training large language models that exceed 8 GB. Its 24 GB GDDR6 handles high-resolution scientific simulations or multi-GPU setups via NVLink. The 672 GB/s bandwidth excels in data-heavy inference pipelines processing large batches.
When to Choose the RTX 2070 SUPER
Select the RTX 2070 SUPER for budget-conscious gaming or lighter AI tasks where 8 GB VRAM suffices, like fine-tuning small models. Its lower 215 W TDP reduces cloud costs in power-sensitive deployments. The 9.1 TFLOPS performance delivers adequate speed for Stable Diffusion at standard resolutions without overprovisioning.
Use Cases
The Quadro RTX 6000's 24 GB VRAM supports massive models that exceed the RTX 2070 SUPER's 8 GB limit. Its 16.3 TFLOPS doubles the 9.1 TFLOPS for faster epochs.
Higher 672 GB/s bandwidth on the Quadro RTX 6000 enables larger batch sizes for efficient serving. 24 GB VRAM fits full models without quantization needs.
Smaller datasets fit within 8 GB of the RTX 2070 SUPER, but 24 GB on Quadro RTX 6000 aids larger adapters. Compute parity scales with model size.
Quadro RTX 6000's superior 16.3 TFLOPS and bandwidth generate higher-resolution images faster. Extra VRAM prevents swapping during iterative refinements.
24 GB VRAM and NVLink on Quadro RTX 6000 handle complex simulations across multi-GPU nodes. 672 GB/s bandwidth accelerates data movement in HPC workloads.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 6000 and RTX 2070 SUPER?▾
The Quadro RTX 6000 provides 24 GB GDDR6 VRAM, triple the 8 GB on the RTX 2070 SUPER. This allows larger models in AI tasks. Bandwidth is 672 GB/s versus 448 GB/s.
How do FP32 performance levels compare?▾
Quadro RTX 6000 achieves 16.3 TFLOPS FP32, 79 percent higher than RTX 2070 SUPER's 9.1 TFLOPS. FP16 matches at these rates for shader performance. Training speeds improve accordingly.
Which has higher power consumption?▾
Quadro RTX 6000 draws 260 W TDP, exceeding RTX 2070 SUPER's 215 W. This supports denser compute but raises cloud energy costs. Efficiency favors the SUPER for light loads.
Do both support NVLink?▾
Both list NVLink interconnect compatibility per specs. Quadro RTX 6000 leverages it for multi-GPU scaling in professional setups. RTX 2070 SUPER uses it less commonly.
Is RTX 2070 SUPER better for gaming?▾
RTX 2070 SUPER optimizes for gaming with 9.1 TFLOPS raster performance at 215 W. Quadro RTX 6000 prioritizes compute over frame rates. Use SUPER for cost-effective play.
Which is preferable for machine learning?▾
Quadro RTX 6000 wins with 24 GB VRAM and 16.3 TFLOPS for ML. RTX 2070 SUPER suits entry-level tasks within 8 GB. Check gpuperhour.com for pricing.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 2070?▾
Cloud rental prices for both the Quadro RTX 6000 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 RTX 6000 have compared to the RTX 2070?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find Quadro RTX 6000 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 RTX 6000 and the RTX 2070?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 2070 uses Turing (2018). The Quadro RTX 6000 delivers 2.2x the FP16 throughput and 1.5x the memory bandwidth of the RTX 2070.