Specifications Compared
| Spec | GTX-1070 | RTX-2070 |
|---|---|---|
| TDP | 150W | 175W |
| VRAM | 8 GB | 8 GB |
| CUDA Cores | 1,920 | 2,304 |
| Memory Type | GDDR5 | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 6.5 TFLOPS | 7.5 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 7.5 TFLOPS |
| Memory Bandwidth | 256 GB/s | 448 GB/s |
Performance Analysis
Raw compute shows minimal separation: 8.9 TFLOPS FP16 and FP32 on GTX 1070 Ti versus 9.1 TFLOPS on RTX 2070 SUPER. This delta implies nearly identical throughput for FP32-dominant scientific computing or legacy inference without mixed precision. However, Turing's tensor cores accelerate FP16 matrix operations beyond shader limits, boosting training and fine-tuning speeds in frameworks like TensorFlow or PyTorch by up to 2x in compatible kernels.
Memory bandwidth presents the clearest advantage: 448 GB/s on RTX 2070 SUPER versus 256 GB/s on GTX 1070 Ti. Higher bandwidth supports larger batch sizes in training, reducing iterations for models like transformers; for instance, batch size 32 might fit comfortably on Turing but strain Pascal due to GDDR6's efficiency over GDDR5.
Power draw at 215 W for RTX 2070 SUPER exceeds 180 W for GTX 1070 Ti, yet per-TFLOPS efficiency improves slightly on Turing. NVLink enables scaled multi-GPU inference, unavailable on Pascal, making RTX preferable for distributed workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
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When to Choose the GTX 1070 Ti
The GTX 1070 Ti suits power-constrained cloud instances where 180 W TDP stays under strict limits, unlike the 215 W RTX 2070 SUPER. Legacy applications optimized for Pascal architecture run efficiently at 8.9 TFLOPS FP32 without needing Turing-specific tensor cores. Cost-sensitive users benefit if rental pricing favors older cards despite no live offers currently.
When to Choose the RTX 2070 SUPER
Opt for RTX 2070 SUPER in modern AI pipelines leveraging 448 GB/s bandwidth for larger datasets and batch sizes. Turing tensor cores enhance FP16 training and inference beyond the 9.1 TFLOPS shader baseline. NVLink supports multi-GPU scaling, ideal for distributed LLM fine-tuning unavailable on GTX 1070 Ti.
Use Cases
RTX 2070 SUPER's 448 GB/s bandwidth handles large model datasets better than 256 GB/s on GTX 1070 Ti. Tensor cores accelerate FP16 operations critical for transformer training.
Higher 448 GB/s bandwidth supports bigger batch sizes during serving. NVLink enables multi-GPU inference scaling absent on GTX 1070 Ti.
Turing tensor cores boost FP16 fine-tuning efficiency over Pascal's 8.9 TFLOPS limit. 9.1 TFLOPS and GDDR6 provide edge for parameter-heavy updates.
RTX 2070 SUPER leverages Turing ray tracing and tensor cores for faster diffusion generation. Bandwidth advantage aids high-resolution image processing.
GTX 1070 Ti's 8.9 TFLOPS FP32 matches needs for FP32-heavy simulations. Lower 180 W TDP fits efficiency-focused environments without tensor reliance.
Frequently Asked Questions
What is the memory bandwidth difference between GTX 1070 Ti and RTX 2070 SUPER?▾
RTX 2070 SUPER offers 448 GB/s with GDDR6, doubling the GTX 1070 Ti's 256 GB/s GDDR5. This impacts batch sizes in training, favoring larger workloads on SUPER. Both have 8 GB VRAM.
Which GPU has higher compute performance?▾
RTX 2070 SUPER delivers 9.1 TFLOPS in FP16 and FP32, edging out GTX 1070 Ti's 8.9 TFLOPS. Turing tensor cores provide additional FP16 acceleration for ML. Pascal lacks these specialized units.
What are the TDP ratings?▾
GTX 1070 Ti consumes 180 W, lower than RTX 2070 SUPER's 215 W. Lower TDP suits power-limited cloud setups. Efficiency per TFLOPS improves slightly on Turing.
Does RTX 2070 SUPER support NVLink?▾
Yes, RTX 2070 SUPER includes NVLink interconnect for multi-GPU. GTX 1070 Ti lacks this feature. NVLink aids distributed training and inference.
Are both GPUs suitable for LLM inference?▾
Both offer 8 GB VRAM, but RTX 2070 SUPER's 448 GB/s bandwidth enables larger batches. Turing architecture accelerates inference via tensor cores. GTX 1070 Ti suffices for smaller models.
What architectures do they use?▾
GTX 1070 Ti uses Pascal from 2017; RTX 2070 SUPER uses Turing from 2019. Turing adds tensor and ray tracing cores. This generational gap affects modern AI performance.
Which is cheaper to rent, the GTX 1070 or the RTX 2070?▾
Cloud rental prices for both the GTX 1070 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 GTX 1070 have compared to the RTX 2070?▾
The GTX 1070 has 8 GB of GDDR5 memory. The RTX 2070 has 8 GB of GDDR6 memory.
Can I find GTX 1070 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 GTX 1070 and the RTX 2070?▾
The GTX 1070 uses the Pascal architecture (2016) while the RTX 2070 uses Turing (2018). The RTX 2070 delivers 1.2x the FP16 throughput and 1.8x the memory bandwidth of the GTX 1070.