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
The RTX 4070 Ti SUPER outperforms the RTX 5060 in compute-intensive workloads due to its superior 29.1 TFLOPS rating in FP16 and FP32 compared to 23.1 TFLOPS. For machine learning training, this delta translates to faster matrix multiplications and convolutions, reducing epoch times by approximately 25 percent in FP16-bound scenarios. Inference benefits similarly, with higher throughput for batched predictions on models like transformers.
Memory bandwidth plays a critical role in handling large batch sizes: the RTX 4070 Ti SUPER's 504 GB/s enables larger batches without spilling to system RAM, ideal for fine-tuning where data movement dominates. The RTX 5060's 448 GB/s may bottleneck such tasks, limiting effective batch sizes by 10 to 15 percent. Lower TDP on the RTX 5060 at 180W versus 200W suggests better power efficiency per TFLOP, potentially advantageous in dense cloud racks despite reduced peak performance.
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
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | 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 immediate deployment in training or inference pipelines needing high compute density. Its 29.1 TFLOPS FP16 performance and 504 GB/s bandwidth support demanding workloads like Stable Diffusion generation at scale. Current pricing from $0.09 per hour ensures cost-effective access across live offers.
When to Choose the RTX 5060
Opt for the RTX 5060 in power-constrained environments or future-proof setups leveraging Blackwell architecture. The 180W TDP reduces cooling demands compared to 200W, suiting edge cloud instances. GDDR7 memory positions it for upcoming software optimizations despite no current availability.
Use Cases
The RTX 4070 Ti SUPER's 29.1 TFLOPS FP16 outperforms the RTX 5060's 23.1 TFLOPS, accelerating gradient computations. Higher 504 GB/s bandwidth supports larger models without bottlenecks.
Superior FP32 performance at 29.1 TFLOPS enables higher throughput for batched queries. Immediate availability at $0.09 per hour from cloud providers favors it over the RTX 5060.
504 GB/s memory bandwidth handles larger batch sizes effectively during parameter updates. 29.1 TFLOPS compute reduces iteration times compared to 23.1 TFLOPS.
Higher FP16 performance drives faster image generation cycles. 12 GB VRAM matches the RTX 5060, but bandwidth edge prevents latency spikes.
Both offer 12 GB VRAM for simulations, with RTX 4070 Ti SUPER leading in bandwidth at 504 GB/s for data-heavy tasks. RTX 5060's lower 180W TDP suits prolonged runs.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The RTX 4070 Ti SUPER achieves 29.1 TFLOPS in FP16 and FP32, surpassing the RTX 5060's 23.1 TFLOPS. This advantage speeds up training and inference by about 25 percent.
What is the memory bandwidth difference?▾
RTX 4070 Ti SUPER offers 504 GB/s with GDDR6X, exceeding RTX 5060's 448 GB/s GDDR7. Larger batches in memory-bound tasks perform better on the former.
Which has lower power consumption?▾
RTX 5060 draws 180W TDP versus 200W on RTX 4070 Ti SUPER. This makes it preferable for efficiency-focused deployments.
Is cloud pricing available for both?▾
RTX 4070 Ti SUPER starts at $0.09 per hour, averaging $0.17 per hour across two offers. RTX 5060 has no live cloud offers currently.
What architectures do they use?▾
RTX 4070 Ti SUPER uses Ada Lovelace from 2023 with 12 GB GDDR6X. RTX 5060 employs Blackwell from 2025 with 12 GB GDDR7.
Which is better for current use?▾
RTX 4070 Ti SUPER wins due to higher specs and availability. Its 29.1 TFLOPS and pricing from $0.09 per hour enable instant productivity.
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.

