Specifications Compared
| Spec | RTX-3060 | RTX-4070 |
|---|---|---|
| TDP | 170W | 200W |
| VRAM | 12 GB | 12 GB |
| CUDA Cores | 3,584 | 5,888 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 112 | 184 |
| FP16 Performance | 12.7 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 29.1 TFLOPS |
| Memory Bandwidth | 360 GB/s | 504 GB/s |
Performance Analysis
The FP16 and FP32 performance delta is substantial: the RTX 4070 Ti SUPER achieves 29.1 TFLOPS in both metrics, compared to 12.7 TFLOPS on the RTX 3060, enabling roughly twice the throughput for machine learning training and inference tasks. Training large models benefits from this compute boost, reducing epoch times significantly, while inference sees faster query processing for real-time applications.
Memory bandwidth plays a critical role: 504 GB/s on the RTX 4070 Ti SUPER versus 360 GB/s on the RTX 3060 allows for larger batch sizes without bottlenecks, improving utilization in data-heavy workflows like Stable Diffusion or scientific simulations. The GDDR6X memory sustains higher data transfer rates, minimizing stalls during peak loads. TDP increases to 200 W reflect the added capabilities, but efficiency gains in Ada Lovelace maintain competitive power profiles.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3060
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Vast.ai | NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 36 vCPU 31GB RAM 862GB Storage | Texas | $0.23/GPU/hr | Available | ||
![]() Vast.ai | 4×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 128 vCPU 336GB RAM 1431GB Storage | Texas | $0.23/GPU/hr $0.90/hr total (4×) | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 24 vCPU 55GB RAM 1940GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available | ||
![]() Vast.ai | 2×NVIDIA GeForce RTX 3060 12GB VRAM | 12GB | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
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 3060
The RTX 3060 suits budget-conscious users with light to moderate workloads. Its pricing from $0.03 per hour makes it ideal for prototyping, small-scale fine-tuning, or educational projects where 12.7 TFLOPS and 360 GB/s bandwidth suffice without overspending.
When to Choose the RTX 4070 Ti SUPER
Opt for the RTX 4070 Ti SUPER in performance-driven scenarios. The 29.1 TFLOPS FP16/FP32 and 504 GB/s bandwidth excel in demanding training runs or high-throughput inference, justifying the $0.09 per hour starting rate for professional deployments.
Use Cases
The RTX 4070 Ti SUPER's 29.1 TFLOPS FP16 performance doubles the RTX 3060's 12.7 TFLOPS, accelerating training epochs. Higher 504 GB/s bandwidth supports larger models.
29.1 TFLOPS FP32 on the RTX 4070 Ti SUPER enables faster token generation than the RTX 3060's 12.7 TFLOPS. Bandwidth advantage aids high-query volumes.
Both offer 12 GB VRAM for typical fine-tuning needs. RTX 3060 suffices at lower $0.03 per hour cost; RTX 4070 Ti SUPER speeds up with 29.1 TFLOPS if time-critical.
RTX 4070 Ti SUPER's 504 GB/s bandwidth handles larger image batches better than 360 GB/s on RTX 3060. Compute at 29.1 TFLOPS reduces generation times.
RTX 3060's 170 W TDP and $0.03 per hour pricing fit modest simulations with 12.7 TFLOPS. Bandwidth of 360 GB/s meets many serial workloads.
Frequently Asked Questions
Which GPU has higher performance?▾
The RTX 4070 Ti SUPER leads with 29.1 TFLOPS in FP16 and FP32, compared to 12.7 TFLOPS on the RTX 3060. This doubles compute capacity for AI tasks.
How do memory specs compare?▾
Both have 12 GB VRAM, but RTX 4070 Ti SUPER uses GDDR6X with 504 GB/s bandwidth versus RTX 3060's GDDR6 at 360 GB/s. This improves data throughput.
What are the cloud prices?▾
RTX 3060 starts at $0.03 per hour, averaging $0.07 across 10 offers. RTX 4070 Ti SUPER begins at $0.09 per hour, averaging $0.17 across 2 offers.
Which is more power efficient?▾
RTX 3060 draws 170 W TDP, lower than RTX 4070 Ti SUPER's 200 W. Per-TFLOP efficiency favors Ada Lovelace despite higher power.
Are they suitable for the same workloads?▾
Both support PCIe and 12 GB VRAM for ML tasks. RTX 4070 Ti SUPER excels in high-bandwidth needs with 504 GB/s over 360 GB/s.
What architecture do they use?▾
RTX 3060 is Ampere from 2021; RTX 4070 Ti SUPER is Ada Lovelace from 2023. Newer architecture brings 29.1 TFLOPS versus 12.7 TFLOPS.
Which is cheaper to rent, the RTX 3060 or the RTX 4070?▾
Cloud rental prices for both the RTX 3060 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 3060 have compared to the RTX 4070?▾
The RTX 3060 has 12 GB of GDDR6 memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find RTX 3060 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 3060 and the RTX 4070?▾
The RTX 3060 uses the Ampere architecture (2021) while the RTX 4070 uses Ada Lovelace (2023). The RTX 4070 delivers 2.3x the FP16 throughput and 1.4x the memory bandwidth of the RTX 3060.

