Specifications Compared
| Spec | RTX-4070 | RTX-5060 |
|---|---|---|
| TDP | 200W | 180W |
| VRAM | 12 GB | 12 GB |
| CUDA Cores | 5,888 | 4,608 |
| Memory Type | GDDR6X | GDDR7 |
| Architecture | Ada Lovelace | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 184 | 144 |
| FP16 Performance | 29.1 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 29.1 TFLOPS | 23.1 TFLOPS |
| INT8 Performance | 466 TOPS | 370 TOPS |
| Memory Bandwidth | 504 GB/s | 448 GB/s |
Performance Analysis
Raw compute power differentiates these GPUs clearly: the RTX 4070 Ti SUPER achieves 29.1 TFLOPS in both FP16 and FP32, surpassing the RTX 5060 Ti's 23.1 TFLOPS by 26 percent. This advantage accelerates training phases in LLMs where matrix multiplications dominate, reducing epochs needed for convergence, and speeds FP16 inference for real-time applications.
Memory bandwidth tells a similar story: 504 GB/s on the RTX 4070 Ti SUPER versus 448 GB/s on the RTX 5060 Ti enables larger batch sizes in bandwidth-constrained tasks like Stable Diffusion generation or scientific simulations, minimizing data transfer bottlenecks and improving throughput.
Power draw reveals efficiency edges, with the RTX 5060 Ti's 180W TDP undercutting the 200W of its counterpart by 10 percent. In prolonged cloud runs, this translates to potential cost savings, especially paired with Blackwell's architectural optimizations for modern AI primitives.
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 |
RTX 5060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 673GB Storage | Maryland | $0.27/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 1526GB Storage | Maryland | $0.27/GPU/hr | Available |
When to Choose the RTX 4070 Ti SUPER
Select the RTX 4070 Ti SUPER for compute-intensive workloads demanding peak performance. Its 29.1 TFLOPS FP16/FP32 rating and 504 GB/s bandwidth excel in LLM training or fine-tuning, where the 26 percent compute lead shortens runtimes significantly.
This GPU fits scenarios with flexible budgets around $0.17/hr average, even with only 2 live offers, prioritizing speed over availability.
When to Choose the RTX 5060 Ti
The RTX 5060 Ti stands out for cost-sensitive and high-availability deployments. Starting at $0.07/hr with 10 live offers, it undercuts the RTX 4070 Ti SUPER's pricing while offering Blackwell architecture benefits for inference serving.
Choose it for power-efficient tasks like extended model hosting, where 180W TDP and GDDR7 memory support sustained operations without excessive energy costs.
Use Cases
The RTX 4070 Ti SUPER's 29.1 TFLOPS FP16 outperforms the 23.1 TFLOPS on RTX 5060 Ti, accelerating convergence in large-scale training.
RTX 5060 Ti offers lower $0.07/hr pricing and 10 offers for scalable serving, with 12 GB VRAM matching needs despite lower compute.
Higher 504 GB/s bandwidth supports larger batches during fine-tuning, paired with 29.1 TFLOPS for efficient parameter updates.
RTX 4070 Ti SUPER's bandwidth edge at 504 GB/s handles image generation pipelines better than 448 GB/s.
Both provide 12 GB VRAM and comparable FP32 at around 25 TFLOPS average, suiting simulations based on task scale and budget.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4070 Ti SUPER leads with 29.1 TFLOPS in FP16 and FP32, compared to 23.1 TFLOPS on the RTX 5060 Ti. This 26 percent advantage benefits training and inference tasks.
How do memory bandwidths compare?▾
RTX 4070 Ti SUPER delivers 504 GB/s with GDDR6X, exceeding the RTX 5060 Ti's 448 GB/s GDDR7. Higher bandwidth supports larger batches in AI workloads.
What are the current cloud prices?▾
RTX 4070 Ti SUPER starts at $0.09/hr averaging $0.17/hr across 2 offers. RTX 5060 Ti begins at $0.07/hr averaging $0.15/hr with 10 offers.
Which has lower power consumption?▾
The RTX 5060 Ti uses 180W TDP, 10 percent less than the RTX 4070 Ti SUPER's 200W. This aids efficiency in long-running cloud jobs.
Are VRAM capacities the same?▾
Both GPUs feature 12 GB VRAM, with RTX 4070 Ti SUPER using GDDR6X and RTX 5060 Ti employing GDDR7. Capacities match mid-range ML needs.
Which architecture is newer?▾
RTX 5060 Ti uses Blackwell from 2025, succeeding Ada Lovelace of 2023 on RTX 4070 Ti SUPER. Newer design may include AI-specific optimizations.
Which is cheaper to rent, the RTX 4070 or the RTX 5060?▾
Cloud rental prices for both the RTX 4070 and RTX 5060 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 4070 have compared to the RTX 5060?▾
The RTX 4070 has 12 GB of GDDR6X memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find RTX 4070 and RTX 5060 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 4070 and the RTX 5060?▾
The RTX 4070 uses the Ada Lovelace architecture (2023) while the RTX 5060 uses Blackwell (2025). The RTX 4070 delivers 1.3x the FP16 throughput and 1.1x the memory bandwidth of the RTX 5060.