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
The RTX 4070 Ti SUPER demonstrates superior compute capability: 44.1 TFLOPS in FP16 and FP32 compared to 15.1 TFLOPS on the RTX 4060, yielding nearly three times the throughput for model training and inference tasks. This delta accelerates deep learning operations, such as matrix multiplications in neural networks, allowing faster iterations in LLM training or fine-tuning. In real-world scenarios, the higher FP16 performance reduces training times proportionally for compatible workloads. Memory specifications further differentiate them: 16 GB VRAM versus 8 GB supports larger models without swapping, while 672 GB/s bandwidth versus 272 GB/s enables bigger batch sizes and sustains high utilization in data-heavy inference. The RTX 4060 may bottleneck on medium models exceeding 8 GB, whereas the RTX 4070 Ti SUPER handles them fluidly. Higher TDP at 285 W reflects the increased performance demands.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 4070 Ti 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 scenarios with strict power or cost limits, such as lightweight LLM inference or fine-tuning models under 8 GB VRAM. Its 115 W TDP suits dense cloud instances or edge-like deployments where efficiency prioritizes over peak speed. Developers testing small-scale prototypes benefit from its 15.1 TFLOPS without overprovisioning resources.
When to Choose the RTX 4070 Ti SUPER
Opt for the RTX 4070 Ti SUPER in demanding applications like large-scale LLM training or high-resolution Stable Diffusion, leveraging 16 GB VRAM and 672 GB/s bandwidth for substantial batches. Its 44.1 TFLOPS excels in compute-intensive scientific computing or multi-model inference pipelines. Cloud users value its pricing from $0.09 per hour for high performance per dollar.
Use Cases
The RTX 4070 Ti SUPER's 16 GB VRAM and 44.1 TFLOPS handle large datasets and models that exceed the RTX 4060's 8 GB and 15.1 TFLOPS limits.
Higher 672 GB/s bandwidth and 44.1 TFLOPS on the RTX 4070 Ti SUPER support faster token generation and larger batch sizes than the RTX 4060's 272 GB/s and 15.1 TFLOPS.
RTX 4070 Ti SUPER accommodates bigger parameter counts with 16 GB VRAM, accelerating convergence via 44.1 TFLOPS over the RTX 4060's constraints.
16 GB VRAM and 672 GB/s bandwidth enable high-resolution image generation at scale, surpassing the RTX 4060's 8 GB and 272 GB/s for complex prompts.
44.1 TFLOPS FP32 performance excels in simulations and HPC tasks, with superior memory handling compared to the RTX 4060's 15.1 TFLOPS.
Frequently Asked Questions
What is the VRAM capacity of the RTX 4060 versus RTX 4070 Ti SUPER?▾
The RTX 4060 features 8 GB GDDR6 VRAM. The RTX 4070 Ti SUPER offers 16 GB GDDR6X VRAM. This difference allows the Ti SUPER to manage larger AI models without memory errors.
Which GPU has higher compute performance?▾
RTX 4070 Ti SUPER delivers 44.1 TFLOPS in FP16 and FP32. RTX 4060 provides 15.1 TFLOPS in both precisions. The Ti SUPER processes training and inference nearly three times faster.
How do memory bandwidths compare?▾
RTX 4060 bandwidth is 272 GB/s. RTX 4070 Ti SUPER reaches 672 GB/s. Higher bandwidth reduces bottlenecks in large-batch ML workloads.
What are the TDPs and cloud pricing?▾
RTX 4060 TDP is 115 W with no live cloud offers. RTX 4070 Ti SUPER TDP is 285 W, priced from $0.09 per hour averaging $0.17 per hour across two providers.
Are both GPUs on the same architecture?▾
Yes, both use Ada Lovelace architecture from 2023. They share PCIe form factors but differ in performance scaling. This ensures software compatibility across workloads.
Which is better for AI training?▾
RTX 4070 Ti SUPER excels with 44.1 TFLOPS, 16 GB VRAM, and 672 GB/s bandwidth. RTX 4060 suits only small models due to 15.1 TFLOPS and 8 GB limits. Cloud pricing favors the Ti SUPER at $0.09 per hour minimum.
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.