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 demonstrates superior compute performance over the GTX 1070, with 29.1 TFLOPS in FP16 and FP32 compared to 6.5 TFLOPS, representing a 4.5 times increase. This delta translates to faster training and inference in machine learning: training large models benefits from the higher FP16 throughput for mixed-precision computations, reducing epoch times significantly. Inference tasks similarly accelerate, enabling higher throughput for real-time applications. Memory bandwidth plays a critical role: the RTX 4070's 504 GB/s versus 256 GB/s allows larger batch sizes without bottlenecks, supporting bigger models or datasets during training. The 12 GB GDDR6X VRAM on the RTX 4070 exceeds the GTX 1070's 8 GB GDDR5, accommodating larger language models that exceed 8 GB requirements. Power draw differs at 200W TDP for the RTX 4070 against 150W, but efficiency gains in Ada Lovelace offset this for sustained workloads.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070
| 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
The GTX 1070 suits scenarios with strict power constraints, as its 150W TDP consumes less energy than the RTX 4070's 200W. Legacy applications optimized for Pascal architecture perform adequately on its 6.5 TFLOPS FP32 compute and 8 GB VRAM, avoiding unnecessary upgrades. It fits basic inference or scientific simulations where modern features provide no benefit and availability aligns with on-premises setups, given no current cloud offers.
When to Choose the RTX 4070
The RTX 4070 excels in demanding machine learning tasks due to its 29.1 TFLOPS FP16/FP32 performance, 4.5 times higher than the GTX 1070. Cloud users benefit from pricing starting at $0.07 per hour across nine offers, enabling cost-effective scaling. Its 504 GB/s bandwidth and 12 GB VRAM handle large batch sizes and models infeasible on the GTX 1070.
Use Cases
The RTX 4070's 29.1 TFLOPS FP16 performance enables faster training of large language models compared to the GTX 1070's 6.5 TFLOPS. Its 12 GB VRAM and 504 GB/s bandwidth handle larger batches and datasets efficiently.
Inference benefits from the RTX 4070's 4.5 times higher 29.1 TFLOPS throughput over the GTX 1070, supporting higher query rates. The 504 GB/s bandwidth reduces latency for real-time serving.
Fine-tuning demands the RTX 4070's superior 12 GB VRAM to load models exceeding 8 GB, unlike the GTX 1070. Compute at 29.1 TFLOPS accelerates iterations significantly.
Stable Diffusion generation requires high FP16 performance, where the RTX 4070's 29.1 TFLOPS outperforms the GTX 1070's 6.5 TFLOPS. Additional VRAM supports higher resolutions.
Scientific simulations leverage the RTX 4070's 29.1 TFLOPS FP32 for complex calculations, far exceeding the GTX 1070. Bandwidth of 504 GB/s aids data-intensive computations.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4070 achieves 29.1 TFLOPS in FP16 and FP32, compared to the GTX 1070's 6.5 TFLOPS in each. This 4.5 times advantage speeds up machine learning tasks. Both maintain equal FP16 to FP32 ratios.
What is the VRAM difference between GTX 1070 and RTX 4070?▾
The GTX 1070 has 8 GB GDDR5 VRAM, while the RTX 4070 offers 12 GB GDDR6X. This allows the RTX 4070 to manage larger models. Memory bandwidth reaches 504 GB/s on RTX 4070 versus 256 GB/s.
How do power consumption levels compare?▾
The GTX 1070 draws 150W TDP, lower than the RTX 4070's 200W. Efficiency in Ada Lovelace mitigates the increase for high-performance workloads. Both use PCIe form factors.
What are the cloud pricing details for these GPUs?▾
RTX 4070 pricing starts at $0.07 per hour, averaging $0.19 per hour across nine live offers. GTX 1070 has no live cloud offers currently. This makes RTX 4070 more accessible for rentals.
Which architecture do these GPUs use?▾
GTX 1070 employs Pascal from 2016, while RTX 4070 uses Ada Lovelace from 2023. The newer architecture delivers 29.1 TFLOPS versus 6.5 TFLOPS. Both support PCIe interconnects.
Is RTX 4070 better for AI workloads?▾
Yes, RTX 4070 excels with 29.1 TFLOPS FP16 for AI training and inference, outperforming GTX 1070's 6.5 TFLOPS. Its 12 GB VRAM fits larger models. Cloud availability enhances usability.
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.