Specifications Compared
| Spec | RTX-2070 | RTX-3070 |
|---|---|---|
| TDP | 175W | 220W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 2,304 | 5,888 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 184 |
| FP16 Performance | 7.5 TFLOPS | 20.3 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 20.3 TFLOPS |
| Memory Bandwidth | 448 GB/s | 448 GB/s |
Performance Analysis
Compute performance differs markedly: the RTX 3070 reaches 20.3 TFLOPS in FP16 and FP32, over twice the 9.1 TFLOPS of the RTX 2070 SUPER. This gap accelerates neural network training by enabling faster matrix multiplications and reduces epoch times proportionally in FP16-heavy workloads.
For inference, the RTX 3070 supports higher throughput, processing more tokens per second in language models due to superior tensor core efficiency in Ampere versus Turing. Training benefits include quicker convergence on datasets where compute bounds progress.
Memory bandwidth matches at 448 GB/s, allowing similar maximum batch sizes for models under 8 GB VRAM. TDP edges higher at 220 W for RTX 3070 versus 215 W, yet it yields better performance per watt. Architectural advances in Ampere improve utilization in modern frameworks.
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
Select the RTX 2070 SUPER for cost-sensitive, non-cloud deployments where no live offers exist and secondary market pricing applies. Its 215 W TDP suits power-constrained desktops better than the 220 W of RTX 3070.
It excels in legacy Turing-optimized software or light workloads like basic inference needing only 9.1 TFLOPS FP32, fitting 8 GB VRAM models without requiring Ampere features.
When to Choose the RTX 3070
Choose the RTX 3070 for compute-intensive tasks demanding 20.3 TFLOPS FP16 or FP32 performance. Cloud availability from $0.04 per hour across 4 offers enables scalable deployments.
Ampere architecture outperforms in current ML pipelines, handling larger effective batch sizes via efficiency despite identical 448 GB/s bandwidth and 8 GB VRAM.
Use Cases
The RTX 3070's 20.3 TFLOPS FP16 outperforms the RTX 2070 SUPER's 9.1 TFLOPS, reducing training times by over 2 times for large language models.
Higher 20.3 TFLOPS FP16 on RTX 3070 enables greater query throughput versus 9.1 TFLOPS on RTX 2070 SUPER, ideal for real-time serving.
RTX 3070 accelerates fine-tuning with 20.3 TFLOPS compute, compared to 9.1 TFLOPS, shortening iterations on 8 GB VRAM-constrained models.
Ampere's 20.3 TFLOPS and efficiency speed up image generation over Turing's 9.1 TFLOPS, despite shared 448 GB/s bandwidth.
RTX 3070's 20.3 TFLOPS FP32 handles simulations faster than 9.1 TFLOPS on RTX 2070 SUPER, with identical memory specs supporting similar scales.
Frequently Asked Questions
Is the RTX 3070 faster than the RTX 2070 SUPER?▾
Yes, the RTX 3070 delivers 20.3 TFLOPS FP16 and FP32 versus 9.1 TFLOPS on RTX 2070 SUPER, a 2.2 times advantage. This impacts training and inference speeds directly. Both share 8 GB GDDR6 VRAM and 448 GB/s bandwidth.
What is the VRAM and bandwidth comparison?▾
Both GPUs offer 8 GB GDDR6 VRAM and 448 GB/s memory bandwidth. This equality supports similar batch sizes for models fitting in 8 GB. Differences lie in compute at 20.3 TFLOPS for RTX 3070 and 9.1 TFLOPS for RTX 2070 SUPER.
How do power requirements compare?▾
RTX 2070 SUPER has 215 W TDP, slightly below RTX 3070's 220 W. Performance per watt favors RTX 3070 at 20.3 TFLOPS versus 9.1 TFLOPS. Both use PCIe form factor.
What are the cloud pricing details?▾
RTX 3070 pricing starts at $0.04 per hour, averaging $0.09 per hour over 4 offers. No live offers exist for RTX 2070 SUPER. This makes RTX 3070 more accessible for cloud ML.
Which architecture is newer?▾
RTX 3070 uses Ampere from 2020, improving on Turing in RTX 2070 SUPER from 2018. Ampere boosts tensor efficiency for 20.3 TFLOPS FP16. Both support NVLink or PCIe interconnects variably.
Can RTX 2070 SUPER handle modern AI tasks?▾
RTX 2070 SUPER manages light tasks with 9.1 TFLOPS and 8 GB VRAM but lags RTX 3070's 20.3 TFLOPS. It fits basic inference or fine-tuning. Bandwidth at 448 GB/s matches for batch handling.
Which is cheaper to rent, the RTX 2070 or the RTX 3070?▾
Cloud rental prices for both the RTX 2070 and RTX 3070 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 3070?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX 3070 has 8 GB of GDDR6 memory.
Can I find RTX 2070 and RTX 3070 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 3070?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX 3070 uses Ampere (2020). The RTX 3070 delivers 2.7x the FP16 throughput and 1.0x the memory bandwidth of the RTX 2070.