Specifications Compared
| Spec | RTX-3070 | RTX-4070 |
|---|---|---|
| TDP | 220W | 200W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 5,888 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 184 |
| FP16 Performance | 20.3 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 20.3 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 448 GB/s | 504 GB/s |
Performance Analysis
A 43 percent increase in FP16 and FP32 performance from 20.3 TFLOPS on the RTX 3070 to 29.1 TFLOPS on the RTX 4070 Ti accelerates deep learning training and inference. This compute uplift shortens epochs in model training and reduces latency in real-time inference for tasks like LLMs or image generation.
The memory bandwidth improvement from 448 GB/s to 504 GB/s, or 12 percent, enables larger batch sizes and mitigates bottlenecks in data-heavy workflows. Paired with 12 GB VRAM versus 8 GB, the RTX 4070 Ti processes bigger models without swapping to system RAM.
Lower TDP at 200W on the RTX 4070 Ti versus 220W enhances power efficiency, ideal for dense cloud deployments. These specs position it ahead for modern AI demands requiring higher throughput and capacity.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti
| 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 RTX 3070
Select the RTX 3070 for cost-sensitive projects where cloud pricing from $0.04/hr (average $0.09/hr) across 4 offers prioritizes savings. Its 20.3 TFLOPS and 448 GB/s bandwidth handle basic inference, fine-tuning of small models, or Stable Diffusion with 8 GB VRAM effectively. Use it in power-tolerant setups accepting 220W TDP when performance gains do not justify doubled rental costs.
When to Choose the RTX 4070 Ti
Choose the RTX 4070 Ti for demanding workloads needing 29.1 TFLOPS compute and 12 GB VRAM. The 504 GB/s bandwidth supports larger batches in LLM training or inference, while 200W TDP offers efficiency. Its pricing from $0.08/hr (average $0.22/hr) across 5 offers suits Ada architecture benefits in high-throughput tasks.
Use Cases
The RTX 4070 Ti's 12 GB VRAM and 29.1 TFLOPS enable larger batch sizes and faster training than the RTX 3070's 8 GB and 20.3 TFLOPS.
Higher 504 GB/s bandwidth and 12 GB VRAM on the RTX 4070 Ti reduce latency for large models compared to the RTX 3070's 448 GB/s and 8 GB.
29.1 TFLOPS FP16 performance on the RTX 4070 Ti speeds up fine-tuning iterations over the RTX 3070's 20.3 TFLOPS.
RTX 4070 Ti's extra 4 GB VRAM and 12 percent higher bandwidth generate higher-resolution images faster without memory limits.
Both offer similar FP32 at 20.3 or 29.1 TFLOPS; choose RTX 3070 for $0.09/hr average cost or RTX 4070 Ti for more VRAM in memory-intensive simulations.
Frequently Asked Questions
What architectures do they use?▾
RTX 3070 is Ampere (2020) while RTX 4070 Ti is Ada Lovelace (2023). Ada brings efficiency gains. Both are PCIe consumer GPUs.
Which is cheaper to rent, the RTX 3070 or the RTX 4070?▾
Cloud rental prices for both the RTX 3070 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 RTX 3070 have compared to the RTX 4070?▾
The RTX 3070 has 8 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 3070 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 RTX 3070 and the RTX 4070?▾
The RTX 3070 uses the Ampere architecture (2020) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the RTX 3070.