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 RTX 4070 SUPER demonstrates superior raw compute with 29.1 TFLOPS in FP16 and FP32, compared to the RTX 3060's 12.7 TFLOPS, enabling over 2.3 times faster processing for training and inference tasks. In machine learning, this delta shortens training epochs and increases inference throughput, particularly for models leveraging half-precision computations.
Higher memory bandwidth of 504 GB/s on the RTX 4070 SUPER versus 360 GB/s on the RTX 3060 supports larger batch sizes, reducing overhead in data loading and improving overall utilization during training. The shift to GDDR6X memory enhances sustained performance in memory-intensive workloads like fine-tuning large models. Although the TDP rises to 200W from 170W, the performance uplift justifies it for demanding applications.
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 | 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 | 128 vCPU 168GB RAM 715GB 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 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
Opt for the RTX 3060 when budget constraints dominate, as cloud pricing starts at $0.03 per hour with an average of $0.07 per hour across 12 live offers. Its lower 170W TDP minimizes power costs in prolonged sessions. This GPU fits light inference, prototyping, or scenarios where the RTX 4070 SUPER lacks availability with no current live offers.
When to Choose the RTX 4070 SUPER
Select the RTX 4070 SUPER for performance-critical workloads requiring 29.1 TFLOPS and 504 GB/s bandwidth, which accelerate training and handle larger batches effectively. The Ada Lovelace architecture introduces optimizations for modern AI tasks. It excels when availability emerges, prioritizing speed over the RTX 3060's cost edge.
Use Cases
The RTX 4070 SUPER's 29.1 TFLOPS more than doubles the RTX 3060's 12.7 TFLOPS, speeding up training epochs. Its 504 GB/s bandwidth supports larger batches for better efficiency.
Higher FP16 performance at 29.1 TFLOPS on the RTX 4070 SUPER boosts query throughput compared to 12.7 TFLOPS on the RTX 3060. Bandwidth advantage aids high-volume serving.
The RTX 4070 SUPER handles fine-tuning faster with 2.3 times the compute power and GDDR6X memory. It manages memory-intensive updates without bottlenecks.
Both offer 12 GB VRAM sufficient for most Stable Diffusion tasks. The RTX 3060 suffices at lower cost, while the RTX 4070 SUPER generates images quicker.
29.1 TFLOPS FP32 on the RTX 4070 SUPER accelerates simulations over the RTX 3060's 12.7 TFLOPS. Enhanced bandwidth improves data-heavy computations.
Frequently Asked Questions
Which GPU has higher performance, RTX 3060 or RTX 4070 SUPER?▾
The RTX 4070 SUPER leads with 29.1 TFLOPS in FP16 and FP32, compared to the RTX 3060's 12.7 TFLOPS. This provides over 2.3 times the compute power for AI tasks.
Do they have the same VRAM?▾
Both feature 12 GB VRAM, but the RTX 4070 SUPER uses faster GDDR6X versus the RTX 3060's GDDR6. Bandwidth reaches 504 GB/s on the SUPER model against 360 GB/s.
What are the power requirements?▾
The RTX 3060 has a 170W TDP, lower than the RTX 4070 SUPER's 200W. This makes the RTX 3060 more power-efficient for cost-sensitive cloud runs.
Is the RTX 4070 SUPER available on cloud platforms?▾
No live offers exist for the RTX 4070 SUPER currently. The RTX 3060 provides options from $0.03 per hour averaging $0.07 per hour across 12 providers.
Which is better for machine learning training?▾
The RTX 4070 SUPER excels with 29.1 TFLOPS and 504 GB/s bandwidth, enabling faster training than the RTX 3060's 12.7 TFLOPS and 360 GB/s.
How do architectures differ?▾
The RTX 3060 uses Ampere from 2021, while the RTX 4070 SUPER employs Ada Lovelace from 2023. This yields higher efficiency and performance in the newer model.
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.