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 SUPER vastly outperforms the GTX 1070 Ti in compute capabilities: 35.5 TFLOPS FP16 and FP32 compared to 8.9 TFLOPS enables faster training and inference in machine learning pipelines. This quadruples throughput for FP16-optimized models common in deep learning, reducing epoch times significantly on the newer GPU.
Memory bandwidth differences are stark: 504 GB/s on the RTX 4070 SUPER versus 256 GB/s on the GTX 1070 Ti allows larger batch sizes without bottlenecks. In training scenarios, this supports batch sizes up to twice as large on the RTX 4070 SUPER, accelerating convergence and fitting bigger models into 12 GB VRAM versus 8 GB.
Power draw reflects efficiency gains: the RTX 4070 SUPER at 220W TDP versus 180W on the GTX 1070 Ti yields nearly 4x performance per watt (0.161 TFLOPS/W versus 0.049 TFLOPS/W). Ada Lovelace tensor cores further enhance inference speeds beyond raw specs, making it ideal for real-time AI deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 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 legacy deployments where PCIe compatibility and low upgrade costs matter. Its 180W TDP fits power-constrained environments, such as older servers unable to handle 220W draws. For lightweight inference on small models under 8 GB VRAM, its 8.9 TFLOPS suffices without overprovisioning.
When to Choose the RTX 4070 SUPER
The RTX 4070 SUPER excels in modern AI workloads requiring high throughput: 35.5 TFLOPS FP16/FP32 handles LLM training and Stable Diffusion far better than the GTX 1070 Ti's 8.9 TFLOPS. Its 12 GB GDDR6X and 504 GB/s bandwidth support large batch sizes and complex models. Choose it for production inference or fine-tuning where speed trumps legacy constraints.
Use Cases
The RTX 4070 SUPER's 35.5 TFLOPS FP16 and 12 GB VRAM enable training larger LLMs with bigger batches than the GTX 1070 Ti's 8.9 TFLOPS and 8 GB.
RTX 4070 SUPER delivers 35.5 TFLOPS FP32 for low-latency inference on models exceeding 8 GB, unlike the GTX 1070 Ti limited by 8.9 TFLOPS and lower bandwidth.
With 504 GB/s bandwidth, the RTX 4070 SUPER handles fine-tuning datasets efficiently; the GTX 1070 Ti's 256 GB/s causes bottlenecks on datasets over 8 GB.
RTX 4070 SUPER's Ada architecture and 35.5 TFLOPS accelerate diffusion models with higher resolutions, far surpassing GTX 1070 Ti's Pascal limits at 8.9 TFLOPS.
Light simulations fit GTX 1070 Ti's 8.9 TFLOPS; demanding HPC needs RTX 4070 SUPER's 35.5 TFLOPS and 12 GB VRAM for complex datasets.
Frequently Asked Questions
Which GPU has higher performance, GTX 1070 Ti or RTX 4070 SUPER?▾
The RTX 4070 SUPER offers 35.5 TFLOPS in FP16 and FP32, over four times the GTX 1070 Ti's 8.9 TFLOPS. This translates to faster AI training and inference. Bandwidth is also superior at 504 GB/s versus 256 GB/s.
How much VRAM do these GPUs have?▾
GTX 1070 Ti has 8 GB GDDR5 while RTX 4070 SUPER provides 12 GB GDDR6X. The extra 4 GB on the SUPER supports larger models in LLM fine-tuning. Bandwidth aids data transfer: 504 GB/s versus 256 GB/s.
What are the TDP ratings?▾
GTX 1070 Ti consumes 180W TDP; RTX 4070 SUPER uses 220W. Despite higher power, the SUPER achieves 0.161 TFLOPS/W efficiency versus 0.049 TFLOPS/W. This favors it for performance-critical cloud rentals.
Is RTX 4070 SUPER compatible with older systems?▾
Both use PCIe form factors, so RTX 4070 SUPER fits GTX 1070 Ti slots. However, its 220W TDP may require PSU upgrades from 180W setups. Performance jumps to 35.5 TFLOPS justify the switch.
Which is better for machine learning?▾
RTX 4070 SUPER dominates with 35.5 TFLOPS FP16, 12 GB VRAM, and Ada tensor cores versus GTX 1070 Ti's 8.9 TFLOPS and no dedicated AI hardware. It handles modern LLMs; the older GPU suits basic tasks only.
What architectures do they use?▾
GTX 1070 Ti uses Pascal from 2017; RTX 4070 SUPER employs Ada Lovelace from 2024. The newer architecture provides 504 GB/s bandwidth over 256 GB/s and vastly improved ML efficiency.
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.