Specifications Compared
| Spec | QUADRO-RTX-8000 | RTX-2070 |
|---|---|---|
| TDP | 260W | 175W |
| VRAM | 48 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
Memory specifications define workload feasibility: the Quadro RTX 8000's 48 GB GDDR6 VRAM accommodates large language models or high-resolution datasets, while the RTX 2070 SUPER's 8 GB GDDR6 restricts to smaller models or reduced batch sizes. Bandwidth of 672 GB/s on the Quadro RTX 8000 sustains high throughput for training, preventing stalls in large-batch inference, compared to 448 GB/s on the RTX 2070 SUPER. FP16 performance at 16.3 TFLOPS on the Quadro accelerates half-precision training and inference twice as fast as the 9.1 TFLOPS on the RTX 2070 SUPER. FP32 at 16.3 TFLOPS versus 9.1 TFLOPS benefits simulations and rendering. The Quadro RTX 8000's 260 W TDP requires stronger power delivery than the 215 W of the RTX 2070 SUPER.
Live Cloud Pricing
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When to Choose the Quadro RTX 8000
The Quadro RTX 8000 fits professional environments demanding 48 GB VRAM: complex simulations or ML training with models over 8 GB thrive on its capacity. NVLink interconnect enables multi-GPU configurations for scaling beyond 16.3 TFLOPS FP32. High 672 GB/s bandwidth supports enterprise visualization pipelines.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER serves gaming and modest AI tasks: 8 GB VRAM handles Stable Diffusion or real-time inference on compact models. Its 215 W TDP lowers energy costs in desktop or small-scale cloud instances. 448 GB/s bandwidth and 9.1 TFLOPS FP16 suffice for consumer creative workflows.
Use Cases
48 GB VRAM fits large models without swapping; 16.3 TFLOPS FP16 doubles speed over 9.1 TFLOPS.
Higher 672 GB/s bandwidth supports bigger batches; 48 GB VRAM handles extended contexts.
16.3 TFLOPS FP32 accelerates parameter updates; ample VRAM avoids out-of-memory errors.
8 GB VRAM suffices for 512x512 generations; 9.1 TFLOPS FP16 meets typical inference needs.
48 GB VRAM processes massive datasets; NVLink scales multi-GPU FP32 simulations.
Frequently Asked Questions
Which GPU has more VRAM, Quadro RTX 8000 or RTX 2070 SUPER?▾
The Quadro RTX 8000 has 48 GB GDDR6 VRAM, far exceeding the 8 GB GDDR6 on the RTX 2070 SUPER. This difference allows the Quadro to manage larger ML models. Bandwidth also favors the Quadro at 672 GB/s over 448 GB/s.
What are the FP32 performance differences?▾
The Quadro RTX 8000 delivers 16.3 TFLOPS FP32, nearly double the RTX 2070 SUPER's 9.1 TFLOPS. This impacts training times in FP32 workloads. FP16 matches at 16.3 TFLOPS versus 9.1 TFLOPS.
Which has higher power consumption?▾
The Quadro RTX 8000 requires 260 W TDP, higher than the RTX 2070 SUPER's 215 W. This affects cooling needs in deployments. Efficiency favors the SUPER for lighter tasks.
Do both support NVLink?▾
The Quadro RTX 8000 includes NVLink for multi-GPU setups, unlike typical RTX 2070 SUPER configurations. This enables scaling for compute clusters. Both use PCIe form factor.
Is RTX 2070 SUPER better for gaming?▾
Yes, the RTX 2070 SUPER optimizes for gaming with 9.1 TFLOPS FP32 and ray tracing. Its 8 GB VRAM handles modern titles at high settings. The Quadro RTX 8000 prioritizes professional drivers.
Which is suitable for large batch training?▾
The Quadro RTX 8000 excels with 672 GB/s bandwidth and 48 GB VRAM for large batches. The RTX 2070 SUPER's 448 GB/s and 8 GB limit scale. This applies to deep learning pipelines.
Which is cheaper to rent, the Quadro RTX 8000 or the RTX 2070?▾
Cloud rental prices for both the Quadro RTX 8000 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 8000 have compared to the RTX 2070?▾
The Quadro RTX 8000 has 48 GB of GDDR6 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find Quadro RTX 8000 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 8000 and the RTX 2070?▾
The Quadro RTX 8000 uses the Turing architecture (2018) while the RTX 2070 uses Turing (2018). The Quadro RTX 8000 delivers 2.2x the FP16 throughput and 1.5x the memory bandwidth of the RTX 2070.