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
The Quadro RTX 6000 outperforms the RTX 2070 significantly in raw compute: 16.3 TFLOPS FP16 and FP32 versus 7.5 TFLOPS, translating to roughly double the throughput for AI training and inference tasks. This FP16/FP32 parity on both GPUs supports mixed-precision training without bottlenecks, but the Quadro RTX 6000's advantage accelerates convergence in deep learning pipelines. Memory differences prove critical: 24 GB VRAM on the Quadro RTX 6000 accommodates larger batch sizes in LLM training, reducing overhead from model swapping, while the RTX 2070's 8 GB limits it to smaller models or inference. Bandwidth at 672 GB/s versus 448 GB/s further enhances the Quadro RTX 6000 for memory-bound operations like Stable Diffusion, allowing higher resolutions without slowdowns. Power draw reflects this: 260W TDP for the Quadro RTX 6000 demands robust cooling, compared to 175W on the RTX 2070 for efficient lighter loads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the Quadro RTX 6000
The Quadro RTX 6000 excels in professional workflows requiring extensive VRAM, such as 3D rendering or scientific simulations handling datasets beyond 8 GB. Its 24 GB GDDR6 and 672 GB/s bandwidth support large-batch training for complex models, where the RTX 2070 falters. Certified drivers make it ideal for CAD software in engineering firms prioritizing stability over cost.
When to Choose the RTX 2070
The RTX 2070 fits budget-driven projects with its pricing from $0.02 per hour average $0.04 per hour across two live offers, unavailable for the Quadro RTX 6000. Lower 175W TDP suits edge deployments or multi-GPU setups with power constraints. It handles entry-level inference and fine-tuning efficiently at 7.5 TFLOPS FP16/FP32.
Use Cases
The Quadro RTX 6000's 24 GB VRAM supports larger models and batch sizes critical for LLM training, unlike the RTX 2070's 8 GB limit. Its 16.3 TFLOPS doubles training speed over the 7.5 TFLOPS of the RTX 2070.
24 GB VRAM on the Quadro RTX 6000 handles high-concurrency inference for large LLMs without swapping. Higher 672 GB/s bandwidth ensures faster token generation than the RTX 2070's 448 GB/s.
Fine-tuning smaller models fits within 8 GB VRAM of the RTX 2070 at 7.5 TFLOPS, but Quadro RTX 6000's 24 GB aids larger adapters. Cost favors RTX 2070 for quick iterations.
Quadro RTX 6000's 24 GB VRAM and 16.3 TFLOPS enable high-resolution image generation without OOM errors. RTX 2070's 8 GB restricts to lower resolutions.
Professional certifications and 672 GB/s bandwidth on Quadro RTX 6000 suit simulations with large datasets. RTX 2070 suffices for lighter computations at lower cost.
Frequently Asked Questions
What is the VRAM difference between Quadro RTX 6000 and RTX 2070?▾
The Quadro RTX 6000 has 24 GB GDDR6 VRAM, three times the RTX 2070's 8 GB GDDR6. This allows the Quadro to manage larger AI models. Bandwidth is 672 GB/s versus 448 GB/s.
How do FP32 performance levels compare?▾
Quadro RTX 6000 delivers 16.3 TFLOPS FP32, double the RTX 2070's 7.5 TFLOPS. This impacts general compute tasks like simulations. FP16 matches this ratio on both.
What are the power requirements?▾
Quadro RTX 6000 requires 260W TDP, higher than RTX 2070's 175W. This affects cooling in dense cloud setups. Both use PCIe form factors.
Is RTX 2070 cheaper in the cloud?▾
RTX 2070 starts at $0.02 per hour, averaging $0.04 per hour across two offers. Quadro RTX 6000 has no live offers currently. This makes RTX 2070 ideal for testing.
Do both support NVLink?▾
Yes, both Quadro RTX 6000 and RTX 2070 feature NVLink interconnects for multi-GPU scaling. This aids distributed training. Architectures are identical Turing 2018.
Which is better for AI training?▾
Quadro RTX 6000 excels with 16.3 TFLOPS and 24 GB VRAM for large batches. RTX 2070's 7.5 TFLOPS suits smaller models. Memory bandwidth favors Quadro at 672 GB/s.
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.