Specifications Compared
| Spec | RTX-3060 | RTX-4090 |
|---|---|---|
| TDP | 170W | 450W |
| VRAM | 12 GB | 24 GB |
| CUDA Cores | 3,584 | 16,384 |
| Memory Type | GDDR6 | GDDR6X |
| Architecture | Ampere | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 4.0 | |
| Tensor Cores | 112 | 512 |
| FP16 Performance | 12.7 TFLOPS | 165 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 82.6 TFLOPS |
| Memory Bandwidth | 360 GB/s | 1,008 GB/s |
Performance Analysis
Compute differences favor the RTX 4090 decisively: 165 TFLOPS FP16 versus 12.7 TFLOPS on the RTX 3060 Ti accelerates AI training cycles significantly. FP32 at 82.6 TFLOPS on the RTX 4090 outpaces the RTX 3060 Ti's 12.7 TFLOPS, benefiting general compute tasks. The FP16 to FP32 ratio on Ada Lovelace supports mixed-precision training efficiently, while Ampere's parity limits optimization. Inference benefits from RTX 4090's FP8 at 660 TFLOPS for quantized models. Memory bandwidth of 1008 GB/s on the RTX 4090 enables larger batch sizes than 360 GB/s on the RTX 3060 Ti, minimizing stalls in data-heavy operations like LLM processing. Higher TDP at 450W versus 170W indicates RTX 4090's capacity for sustained high loads in cloud setups.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
RTX 3060 Ti
| 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 4090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.39/GPU/hr | Available | ||
TensorDock | NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Orlando, Florida | $0.48/GPU/hr | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 96 vCPU 472GB RAM 3034GB Storage | Sweden | $0.53/GPU/hr $2.13/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 80 vCPU 157GB RAM 856GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available | ||
Vast.ai | 4×NVIDIA GeForce RTX 4090 24GB VRAM | 24GB | 256 vCPU 252GB RAM 448GB Storage | United Kingdom | $0.67/GPU/hr $2.67/hr total (4×) | Available |
When to Choose the RTX 3060 Ti
The RTX 3060 Ti fits entry-level cloud tasks with modest requirements. Its 12 GB VRAM suffices for inference on small models or basic fine-tuning, paired with a low starting price of $0.03 per hour. The 170W TDP suits constrained power budgets, and 360 GB/s bandwidth handles standard batch sizes effectively.
When to Choose the RTX 4090
The RTX 4090 targets high-performance needs with 24 GB VRAM for large models. Its 165 TFLOPS FP16 and 1008 GB/s bandwidth excel in training or Stable Diffusion, justifying $0.16 per hour starts. PCIe 4.0 interconnect enhances data transfer in demanding workflows.
Use Cases
RTX 4090's 24 GB VRAM and 165 TFLOPS FP16 support large-scale training, while RTX 3060 Ti's 12 GB and 12.7 TFLOPS limit model size and speed.
RTX 4090's 1008 GB/s bandwidth and 660 TFLOPS FP8 enable high-throughput inference; RTX 3060 Ti's 360 GB/s suits only small deployments.
RTX 4090's 82.6 TFLOPS FP32 and higher bandwidth accelerate iterations; RTX 3060 Ti's 12.7 TFLOPS works for tiny datasets at lower cost.
RTX 4090's 24 GB VRAM manages high-resolution generations with 165 TFLOPS FP16; RTX 3060 Ti's 12 GB restricts image sizes.
RTX 4090's 82.6 TFLOPS FP32 outperforms RTX 3060 Ti's 12.7 TFLOPS for simulations; extra bandwidth aids large datasets.
Frequently Asked Questions
What is the VRAM difference between RTX 3060 Ti and RTX 4090?▾
RTX 4090 offers 24 GB GDDR6X, double the RTX 3060 Ti's 12 GB GDDR6. This allows larger models on RTX 4090. Bandwidth reaches 1008 GB/s on RTX 4090 versus 360 GB/s.
Which GPU has higher FP16 performance?▾
RTX 4090 achieves 165 TFLOPS FP16, over 13 times the RTX 3060 Ti's 12.7 TFLOPS. This boosts AI training speed. FP32 is 82.6 TFLOPS on RTX 4090 versus 12.7 TFLOPS.
How do cloud prices compare for these GPUs?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 per hour across 2 offers. RTX 4090 begins at $0.16 per hour, averaging $0.46 per hour with 111 offers. Price reflects performance gap.
What are the TDP ratings?▾
RTX 3060 Ti consumes 170W TDP. RTX 4090 requires 450W. Cloud providers manage higher power for RTX 4090's capabilities.
Is RTX 4090 better for machine learning?▾
RTX 4090 excels with 165 TFLOPS FP16, 24 GB VRAM, and 1008 GB/s bandwidth. RTX 3060 Ti's 12.7 TFLOPS and 12 GB suit lighter tasks. Choice depends on workload scale.
What architectures do they use?▾
RTX 3060 Ti uses Ampere from 2021. RTX 4090 employs Ada Lovelace from 2022. Newer design yields FP8 at 660 TFLOPS on RTX 4090.
Which is cheaper to rent, the RTX 3060 or the RTX 4090?▾
Cloud rental prices for both the RTX 3060 and RTX 4090 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 4090?▾
The RTX 3060 has 12 GB of GDDR6 memory. The RTX 4090 has 24 GB of GDDR6X memory.
Can I find RTX 3060 and RTX 4090 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 4090?▾
The RTX 3060 uses the Ampere architecture (2021) while the RTX 4090 uses Ada Lovelace (2022). The RTX 4090 delivers 13.0x the FP16 throughput and 2.8x the memory bandwidth of the RTX 3060.