Specifications Compared
| Spec | RTX-4060 | RTX-4070 |
|---|---|---|
| TDP | 115W | 200W |
| VRAM | 8 GB | 12 GB |
| CUDA Cores | 3,072 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ada Lovelace | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 96 | 184 |
| FP16 Performance | 15.1 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 15.1 TFLOPS | 29.1 TFLOPS |
| INT8 Performance | 242 TOPS | 466 TOPS |
| Memory Bandwidth | 272 GB/s | 504 GB/s |
Performance Analysis
Compute capability differs markedly: the RTX 4070 SUPER delivers 29.1 TFLOPS in both FP16 and FP32, precisely double the RTX 4060's 15.1 TFLOPS. This advantage accelerates deep learning training, where FP16 halves precision for speed, and FP32 ensures accuracy in simulations; the RTX 4070 SUPER halves training times on compatible models.
Memory bandwidth almost doubles to 504 GB/s on the RTX 4070 SUPER from 272 GB/s, reducing bottlenecks in data-heavy tasks. Larger batch sizes become feasible during inference or training, as 12 GB VRAM versus 8 GB accommodates bigger models without swapping to system RAM.
The 200W TDP on the RTX 4070 SUPER supports prolonged high loads, unlike the efficient 115W RTX 4060, which suits intermittent use but throttles under continuous compute.
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 4060
The RTX 4060 fits power-constrained or budget setups with its 115W TDP and 8 GB GDDR6 VRAM. It handles lightweight inference, 1080p gaming, or fine-tuning small models under 8 GB. Users in laptops or mini-PCs benefit from lower heat and energy costs at 15.1 TFLOPS FP32 performance.
When to Choose the RTX 4070 SUPER
Opt for the RTX 4070 SUPER when workloads demand superior throughput, such as LLM training or Stable Diffusion with its 29.1 TFLOPS FP16/FP32 and 504 GB/s bandwidth. The 12 GB GDDR6X VRAM supports larger batches and models. It excels in 1440p gaming or sustained AI tasks despite 200W TDP.
Use Cases
The RTX 4070 SUPER's 29.1 TFLOPS FP16 doubles the RTX 4060's 15.1 TFLOPS for faster training epochs. Its 12 GB VRAM and 504 GB/s bandwidth handle larger models and batches without issues.
Higher memory bandwidth of 504 GB/s on the RTX 4070 SUPER enables quicker token generation versus 272 GB/s on RTX 4060. The 12 GB capacity supports bigger contexts than 8 GB.
29.1 TFLOPS FP32 on RTX 4070 SUPER accelerates parameter updates over RTX 4060's 15.1 TFLOPS. Extra 4 GB VRAM aids dataset processing.
RTX 4070 SUPER generates images faster with 29.1 TFLOPS and 504 GB/s bandwidth, fitting full models in 12 GB VRAM unlike RTX 4060's 8 GB limit.
RTX 4060 suffices for FP32 tasks at 15.1 TFLOPS in low-power setups, but RTX 4070 SUPER's 29.1 TFLOPS scales better for complex simulations.
Frequently Asked Questions
What is the VRAM capacity of RTX 4060 versus RTX 4070 SUPER?▾
The RTX 4060 has 8 GB GDDR6 VRAM, while the RTX 4070 SUPER features 12 GB GDDR6X. This 50 percent increase aids larger AI models. Bandwidth reaches 504 GB/s on RTX 4070 SUPER compared to 272 GB/s.
Which GPU has higher compute performance?▾
RTX 4070 SUPER provides 29.1 TFLOPS in FP16 and FP32, double the RTX 4060's 15.1 TFLOPS. This boosts training and inference speeds significantly. Real-world ML tasks see up to twice the throughput.
What are the TDP ratings?▾
RTX 4060 consumes 115W TDP for efficiency, suitable for compact builds. RTX 4070 SUPER requires 200W for peak performance. Higher TDP correlates with sustained 29.1 TFLOPS output.
Do they share the same architecture?▾
Both use Ada Lovelace architecture from 2023. This ensures compatibility with latest NVIDIA features. PCIe form factor fits standard desktops.
Is RTX 4070 SUPER better for AI workloads?▾
Yes, with 12 GB VRAM and 504 GB/s bandwidth versus 8 GB and 272 GB/s on RTX 4060. 29.1 TFLOPS excels in LLM fine-tuning and inference. RTX 4060 limits scale on memory-intensive tasks.
How does memory bandwidth impact performance?▾
RTX 4070 SUPER's 504 GB/s nearly doubles RTX 4060's 272 GB/s, allowing larger batches in training. This reduces latency in inference. Bandwidth bottlenecks appear first on RTX 4060 with big models.
Which is cheaper to rent, the RTX 4060 or the RTX 4070?▾
Cloud rental prices for both the RTX 4060 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 4060 have compared to the RTX 4070?▾
The RTX 4060 has 8 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 4060 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 4060 and the RTX 4070?▾
The RTX 4060 uses the Ada Lovelace architecture (2023) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 1.9x the FP16 throughput and 1.9x the memory bandwidth of the RTX 4060.