Specifications Compared
| Spec | RTX-2070 | RTX-3080 |
|---|---|---|
| TDP | 175W | 320W |
| VRAM | 8 GB | 10-12 GB |
| CUDA Cores | 2,304 | 8,704 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 272 |
| FP16 Performance | 7.5 TFLOPS | 29.8 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 29.8 TFLOPS |
| Memory Bandwidth | 448 GB/s | 760 GB/s |
Performance Analysis
Compute capabilities differ markedly: the RTX 3080 achieves 29.8 TFLOPS in FP16 and FP32, dwarfing the RTX 2070 SUPER's 9.1 TFLOPS. This disparity accelerates machine learning training, where FP32 handles forward/backward passes and FP16 enables mixed-precision to reduce memory usage while maintaining speed. Inference benefits similarly, with the RTX 3080 processing more samples per second.
Memory bandwidth impacts efficiency directly: 760 GB/s on the RTX 3080 supports larger batch sizes than 448 GB/s on the RTX 2070 SUPER, minimizing data transfer bottlenecks in training loops. The RTX 3080's 10-12 GB VRAM accommodates bigger models or datasets versus 8 GB, preventing out-of-memory errors during inference or fine-tuning.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
No live offers available at this time.
When to Choose the RTX 2070 SUPER
The RTX 2070 SUPER suits power-sensitive setups: its 215 W TDP consumes 33 percent less energy than the RTX 3080's 320 W, fitting compact desktops or edge devices. It handles inference for models under 8 GB VRAM effectively with 9.1 TFLOPS performance, where cost or availability trumps peak speed.
When to Choose the RTX 3080
Opt for the RTX 3080 in performance-driven applications: 29.8 TFLOPS FP16/FP32 and 760 GB/s bandwidth excel in training and generation tasks. Cloud availability from $0.06 per hour (average $0.17 per hour) across six providers makes it accessible for scalable workloads exceeding the RTX 2070 SUPER's 8 GB VRAM limit.
Use Cases
RTX 3080's 29.8 TFLOPS FP16 and 10-12 GB VRAM manage large language models efficiently. RTX 2070 SUPER's 9.1 TFLOPS and 8 GB limit batch sizes and model scale.
Higher 760 GB/s bandwidth on RTX 3080 supports faster token generation with bigger batches. RTX 2070 SUPER works for small models but bottlenecks at 448 GB/s.
RTX 3080's 29.8 TFLOPS accelerates gradient computations over RTX 2070 SUPER's 9.1 TFLOPS. Extra VRAM handles parameter-efficient methods on larger bases.
RTX 3080 generates images quicker with 29.8 TFLOPS and 10-12 GB VRAM for high-resolution outputs. RTX 2070 SUPER struggles with VRAM limits on complex prompts.
RTX 2070 SUPER's 9.1 TFLOPS suffices for modest simulations within 8 GB VRAM. RTX 3080 scales to intensive tasks with 29.8 TFLOPS and higher bandwidth.
Frequently Asked Questions
What is the performance difference between RTX 2070 SUPER and RTX 3080?▾
The RTX 3080 delivers 29.8 TFLOPS FP32, over three times the RTX 2070 SUPER's 9.1 TFLOPS. This gap shortens training times significantly for compute-bound tasks. Bandwidth also favors RTX 3080 at 760 GB/s versus 448 GB/s.
How much VRAM do these GPUs have?▾
RTX 2070 SUPER offers 8 GB GDDR6 VRAM. RTX 3080 provides 10-12 GB GDDR6X, better for large models. Higher capacity reduces swapping in memory-intensive workloads.
What are the power requirements?▾
RTX 2070 SUPER has a 215 W TDP. RTX 3080 requires 320 W, demanding stronger power supplies. Lower TDP aids efficiency in constrained systems.
Is RTX 3080 available on cloud platforms?▾
RTX 3080 cloud pricing starts at $0.06 per hour, averaging $0.17 per hour across six offers. No live offers exist for RTX 2070 SUPER. This makes RTX 3080 viable for on-demand scaling.
Which is better for AI training?▾
RTX 3080 outperforms with 29.8 TFLOPS FP16 and 760 GB/s bandwidth. RTX 2070 SUPER's 9.1 TFLOPS suits lighter training only. Larger VRAM on RTX 3080 fits bigger batches.
Can RTX 2070 SUPER handle Stable Diffusion?▾
RTX 2070 SUPER runs Stable Diffusion with 8 GB VRAM for basic generations at 9.1 TFLOPS. RTX 3080 excels with 10-12 GB and 29.8 TFLOPS for faster, higher-quality outputs.
Which is cheaper to rent, the RTX 2070 or the RTX 3080?▾
Cloud rental prices for both the RTX 2070 and RTX 3080 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 RTX 2070 have compared to the RTX 3080?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX 3080 has 10 to 12 GB of GDDR6X memory.
Can I find RTX 2070 and RTX 3080 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 RTX 2070 and the RTX 3080?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX 3080 uses Ampere (2020). The RTX 3080 delivers 4.0x the FP16 throughput and 1.7x the memory bandwidth of the RTX 2070.