Specifications Compared
| Spec | GTX-1070 | RTX-4070 |
|---|---|---|
| TDP | 150W | 200W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 1,920 | 5,888 |
| Memory Type | GDDR5 | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 256 GB/s | 504 GB/s |
Performance Analysis
The RTX 4070 Ti SUPER outperforms the GTX 1070 Ti dramatically in raw compute: 44.1 TFLOPS versus 8.9 TFLOPS in FP16 and FP32 means roughly 5x faster processing for neural network training and inference workloads. This delta accelerates model convergence in training by handling more operations per second and speeds up inference latency for real-time applications.
Memory bandwidth of 672 GB/s on the RTX 4070 Ti SUPER contrasts sharply with 256 GB/s on the GTX 1070 Ti: higher bandwidth supports larger batch sizes in training without memory bottlenecks, enabling efficient use of the 16 GB VRAM versus 8 GB. This reduces out-of-memory errors for larger models or datasets.
Power efficiency shifts with TDP: the GTX 1070 Ti at 180W consumes less than the 285W RTX 4070 Ti SUPER, but the latter's architectural advances yield over 4x TFLOPS per watt, making it superior for sustained high-throughput cloud tasks.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the GTX 1070 Ti
The GTX 1070 Ti suits extremely power-constrained environments: its 180W TDP draws 37% less power than the 285W RTX 4070 Ti SUPER, ideal for edge deployments or older servers with limited cooling. Legacy software optimized for Pascal architecture may run more stably on the GTX 1070 Ti without recompilation.
No live cloud offers exist, so it fits local setups where acquisition costs remain low despite 8 GB VRAM and 256 GB/s bandwidth limiting it to small-scale inference or non-AI graphics.
When to Choose the RTX 4070 Ti SUPER
The RTX 4070 Ti SUPER excels in modern AI workloads: 44.1 TFLOPS FP16/FP32 and 16 GB GDDR6X VRAM handle large language models and fine-tuning far beyond the GTX 1070 Ti's 8.9 TFLOPS and 8 GB GDDR5. Cloud pricing at $0.09/hr average $0.17/hr makes it accessible for scalable training.
High 672 GB/s bandwidth supports demanding Stable Diffusion or scientific simulations with bigger batches, where the generational leap from Pascal to Ada Lovelace ensures tensor core efficiency.
Use Cases
The RTX 4070 Ti SUPER's 44.1 TFLOPS and 16 GB VRAM enable training larger models with bigger batches than the GTX 1070 Ti's 8.9 TFLOPS and 8 GB.
44.1 TFLOPS FP16 performance on the RTX 4070 Ti SUPER reduces latency for high-throughput inference, far surpassing the GTX 1070 Ti's 8.9 TFLOPS.
Double VRAM at 16 GB and 672 GB/s bandwidth on the RTX 4070 Ti SUPER support efficient fine-tuning of mid-sized models without OOM issues.
Ada Lovelace tensor cores and 44.1 TFLOPS accelerate image generation on the RTX 4070 Ti SUPER, outperforming Pascal's 8.9 TFLOPS significantly.
Higher 672 GB/s bandwidth and compute power handle complex simulations better than the GTX 1070 Ti's 256 GB/s and lower TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM: GTX 1070 Ti or RTX 4070 Ti SUPER?▾
The RTX 4070 Ti SUPER provides 16 GB GDDR6X VRAM, double the GTX 1070 Ti's 8 GB GDDR5. This allows larger models in AI tasks. Bandwidth also favors the RTX at 672 GB/s versus 256 GB/s.
How much faster is the RTX 4070 Ti SUPER than GTX 1070 Ti?▾
The RTX 4070 Ti SUPER achieves 44.1 TFLOPS in FP32/FP16, about 5x the GTX 1070 Ti's 8.9 TFLOPS. Real-world training and inference scale similarly. Architecture advances amplify this in modern workloads.
What is the power consumption difference?▾
GTX 1070 Ti TDP is 180W, while RTX 4070 Ti SUPER reaches 285W. The latter offers superior efficiency at 0.155 TFLOPS/W versus 0.049 TFLOPS/W. Choose based on power limits.
Are there cloud rentals for these GPUs?▾
No live offers exist for GTX 1070 Ti. RTX 4070 Ti SUPER pricing starts at $0.09/hr, averaging $0.17/hr across 2 providers. This makes it practical for cloud ML.
Which is better for machine learning training?▾
RTX 4070 Ti SUPER dominates with 44.1 TFLOPS, 16 GB VRAM, and 672 GB/s bandwidth for faster convergence and larger batches. GTX 1070 Ti limits scale at 8.9 TFLOPS and 8 GB.
Do both support PCIe form factors?▾
Yes, both GTX 1070 Ti and RTX 4070 Ti SUPER use PCIe. No interconnect differences noted. Compatibility suits standard cloud instances.
Which is cheaper to rent, the GTX 1070 or the RTX 4070?▾
Cloud rental prices for both the GTX 1070 and RTX 4070 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 4070?▾
The GTX 1070 has 8 GB of GDDR5 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find GTX 1070 and RTX 4070 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 4070?▾
The GTX 1070 uses the Pascal architecture (2016) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 4.5x the FP16 throughput and 2.0x the memory bandwidth of the GTX 1070.