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
The RTX 4070 Ti outperforms the RTX 2070 SUPER dramatically in compute-intensive tasks due to its 40 TFLOPS FP16/FP32 rating compared to 9 TFLOPS. This delta translates to over 4x faster matrix multiplications essential for LLM training and fine-tuning, enabling the 4070 Ti to process larger models or batches in minutes rather than hours. Inference workloads benefit similarly, with the Ada architecture's efficiency reducing latency by handling higher throughput. Memory specs further favor the 4070 Ti: 12 GB GDDR6X versus 8 GB GDDR6 supports bigger batch sizes in training, preventing out-of-memory errors for models exceeding 8 GB. The 504 GB/s bandwidth versus 448 GB/s accelerates data transfers, improving utilization in memory-bound scenarios like Stable Diffusion generation. Higher TDP of 285W on the 4070 Ti reflects its capability, but the 2070 SUPER's 215W suits power-constrained environments. Overall, these differences position the 4070 Ti for modern AI pipelines requiring scale.
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 2070 SUPER
The RTX 2070 SUPER suits legacy applications or budget-conscious users with existing Turing-optimized codebases. Its 215W TDP and NVLink interconnect make it ideal for multi-GPU setups in older servers where power limits cap at 200-220W. No current cloud offers mean it appeals for on-premise deployments avoiding rental costs.
When to Choose the RTX 4070 Ti
Choose the RTX 4070 Ti for demanding AI tasks leveraging its 40 TFLOPS FP16/FP32 and 12 GB VRAM. Cloud availability from $0.08 per hour enables scalable training without hardware investment. The Ada architecture excels in current frameworks, delivering 4x speedups over Turing.
Use Cases
The RTX 4070 Ti's 40 TFLOPS FP16/FP32 crushes the 2070 SUPER's 9 TFLOPS, accelerating convergence on large datasets. Its 12 GB VRAM handles bigger batches without issues.
Higher 504 GB/s bandwidth and 40 TFLOPS on the 4070 Ti reduce latency for real-time queries. The 2070 SUPER struggles with memory limits at 8 GB.
Ada Lovelace efficiency yields 4x faster iterations with 12 GB VRAM supporting complex adapters. Legacy Turing code may force choice of 2070 SUPER.
RTX 4070 Ti generates images faster thanks to 40 TFLOPS and higher bandwidth for diffusion steps. 2070 SUPER suffices for basic use at lower resolutions.
Both handle FP32 simulations well, but 4070 Ti's 40 TFLOPS scales to large grids while 2070 SUPER's 215W TDP fits edge computing.
Frequently Asked Questions
Which GPU has more VRAM: RTX 2070 SUPER or RTX 4070 Ti?▾
The RTX 4070 Ti offers 12 GB GDDR6X compared to the RTX 2070 SUPER's 8 GB GDDR6. This extra capacity supports larger AI models during training. Bandwidth also favors the 4070 Ti at 504 GB/s over 448 GB/s.
What is the FP32 performance difference between RTX 2070 SUPER and RTX 4070 Ti?▾
RTX 4070 Ti delivers 40 TFLOPS FP32 versus 9 TFLOPS on RTX 2070 SUPER. This results in over 4x speedup for compute-heavy tasks like simulations. FP16 matches this gap for tensor operations.
Is RTX 4070 Ti available on cloud providers?▾
RTX 4070 Ti cloud pricing starts at $0.08 per hour, averaging $0.22 per hour across five offers. No live offers exist for RTX 2070 SUPER. This makes 4070 Ti ideal for on-demand workloads.
How do power requirements compare?▾
RTX 4070 Ti has a 285W TDP while RTX 2070 SUPER uses 215W. Lower power suits the 2070 SUPER for constrained setups. Higher TDP enables the 4070 Ti's performance gains.
RTX 2070 SUPER vs RTX 4070 Ti for machine learning?▾
RTX 4070 Ti excels with 40 TFLOPS and 12 GB VRAM for modern ML. RTX 2070 SUPER works for lighter tasks at 9 TFLOPS but lacks scale. Choose based on model size and budget.
What architectures do these GPUs use?▾
RTX 2070 SUPER uses Turing from 2019 with NVLink support. RTX 4070 Ti employs Ada Lovelace from 2023 for better efficiency. Architectural advances drive the 4070 Ti's 4x compute edge.
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.