Specifications Compared
| Spec | RTX-2070 | RTX-4070 |
|---|---|---|
| TDP | 175W | 200W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 2,304 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Turing | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 288 | 184 |
| FP16 Performance | 7.5 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 7.5 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 448 GB/s | 504 GB/s |
Performance Analysis
FP32 performance defines compute capability: the RTX 4070 SUPER delivers 35.5 TFLOPS, 4.7 times the RTX 2070's 7.5 TFLOPS. This delta accelerates deep learning training by enabling more operations per second during backpropagation and inference passes with transformer models. FP16 matches FP32 on both, but Ada's tensor cores enhance mixed-precision efficiency for large language models. In training scenarios, the RTX 4070 SUPER reduces epoch times proportionally to the throughput gain. VRAM capacity impacts model size: 12 GB on the RTX 4070 SUPER handles larger models or batches than the RTX 2070's 8 GB, avoiding out-of-memory issues in fine-tuning. Memory bandwidth affects data movement: 504 GB/s on the RTX 4070 SUPER versus 448 GB/s permits 12 percent larger batch sizes before bandwidth saturation in memory-intensive inference. TDP rises to 220 W from 175 W, reflecting higher sustained performance.
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 RTX 2070
The RTX 2070 suits budget-limited deployments with cloud pricing from $0.02 per hour. Its 175 W TDP enables denser server packing compared to 220 W alternatives. Light workloads like small model inference or legacy Turing-optimized code benefit from availability across 2 live offers averaging $0.04 per hour.
When to Choose the RTX 4070 SUPER
The RTX 4070 SUPER excels in performance-critical tasks requiring 35.5 TFLOPS FP32 throughput. Scenarios with large models leverage 12 GB VRAM and 504 GB/s bandwidth for efficient training and inference. Ada Lovelace architecture supports modern features like improved tensor performance despite no current cloud offers.
Use Cases
RTX 4070 SUPER's 35.5 TFLOPS FP16 provides 4.7 times the throughput of RTX 2070's 7.5 TFLOPS for faster convergence. 12 GB VRAM accommodates larger models than 8 GB.
Higher 504 GB/s bandwidth on RTX 4070 SUPER supports bigger batches versus 448 GB/s on RTX 2070. 35.5 TFLOPS FP32 reduces latency in serving requests.
Ada architecture and 12 GB VRAM enable fine-tuning of mid-sized LLMs without swapping, unlike RTX 2070's 8 GB limit. Performance gain shortens iteration cycles.
RTX 4070 SUPER's 35.5 TFLOPS accelerates diffusion steps over RTX 2070's 7.5 TFLOPS. Extra VRAM handles higher resolutions.
RTX 2070 suffices for modest simulations at $0.02 per hour. RTX 4070 SUPER scales to complex FP32 workloads with 4.7 times speed if available.
Frequently Asked Questions
Which GPU performs better in FP32 compute: RTX 2070 or RTX 4070 SUPER?▾
RTX 4070 SUPER achieves 35.5 TFLOPS FP32, 4.7 times higher than RTX 2070's 7.5 TFLOPS. This boosts training and simulation speeds significantly. FP16 matches these figures on both cards.
How much VRAM do RTX 2070 and RTX 4070 SUPER have?▾
RTX 2070 offers 8 GB GDDR6 while RTX 4070 SUPER provides 12 GB GDDR6X. The extra 4 GB on the newer card supports larger AI models. Bandwidth is 448 GB/s versus 504 GB/s.
What are the power requirements for these GPUs?▾
RTX 2070 has a 175 W TDP; RTX 4070 SUPER requires 220 W. Lower power on RTX 2070 aids multi-GPU setups. Both use PCIe form factors.
Is RTX 2070 cheaper in the cloud than RTX 4070 SUPER?▾
RTX 2070 starts at $0.02 per hour, averaging $0.04 per hour over 2 offers. RTX 4070 SUPER has no live cloud offers. Cost favors RTX 2070 for entry-level tasks.
Should I upgrade from RTX 2070 to RTX 4070 SUPER for AI?▾
Upgrade delivers 4.7 times FP32 performance and 50 percent more VRAM for modern workloads. RTX 2070 remains viable for budgets at $0.02 per hour. Evaluate based on model size needs.
What architectures power these GPUs?▾
RTX 2070 uses Turing from 2018 with NVLink support. RTX 4070 SUPER runs Ada Lovelace from 2023. Newer architecture improves efficiency in tensor operations.
Which is cheaper to rent, the RTX 2070 or the RTX 4070?▾
Cloud rental prices for both the RTX 2070 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 2070 have compared to the RTX 4070?▾
The RTX 2070 has 8 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 2070 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 2070 and the RTX 4070?▾
The RTX 2070 uses the Turing architecture (2018) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 3.9x the FP16 throughput and 1.1x the memory bandwidth of the RTX 2070.