Specifications Compared
| Spec | RTX-3060 | RTX-A4000 |
|---|---|---|
| TDP | 170W | 140W |
| VRAM | 12 GB | 16 GB |
| CUDA Cores | 3,584 | 6,144 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 112 | 192 |
| FP16 Performance | 12.7 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 360 GB/s | 448 GB/s |
Performance Analysis
The RTX A4000 delivers superior raw compute: 19.2 TFLOPS in FP16 and FP32 compared to the RTX 3060 Ti's 12.7 TFLOPS, a 51 percent increase. This advantage accelerates deep learning training, where FP16 tensor operations dominate, and inference passes on neural networks. Higher throughput reduces epoch times for model optimization.
Memory capabilities further differentiate them. The RTX A4000's 16 GB VRAM and 448 GB/s bandwidth enable larger batch sizes in training large language models, minimizing out-of-memory errors versus the RTX 3060 Ti's 12 GB and 360 GB/s limits. Lower TDP on the RTX A4000 at 140 W versus 170 W supports better power efficiency and higher density in cloud instances.
In practice, these specs mean the RTX A4000 handles memory-bound tasks like high-resolution image generation more fluidly, while the RTX 3060 Ti suits lighter loads without excessive cost.
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 A4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the RTX 3060 Ti
The RTX 3060 Ti suits cost-sensitive deployments. At $0.03 per hour starting price and 12.7 TFLOPS performance, it handles inference or fine-tuning of models under 12 GB VRAM effectively. Choose it for prototyping, small datasets, or when budget constrains hourly spend across limited 2 live offers.
When to Choose the RTX A4000
Select the RTX A4000 for demanding professional workflows. Its 16 GB VRAM and 19.2 TFLOPS outperform in training larger models or inference with big batches, supported by 448 GB/s bandwidth. The 28 live offers ensure broader availability despite higher average $0.37 per hour cost.
Use Cases
The RTX A4000's 16 GB VRAM and 19.2 TFLOPS handle larger models and batches better than the RTX 3060 Ti's 12 GB and 12.7 TFLOPS.
Both GPUs perform adequately with similar FP16 rates, but RTX 3060 Ti fits cost-sensitive low-latency needs under 12 GB, while RTX A4000 scales to bigger payloads.
RTX A4000's 448 GB/s bandwidth and 140 W TDP enable efficient fine-tuning of complex nets; RTX 3060 Ti's 360 GB/s limits scale.
RTX 3060 Ti's 12 GB VRAM suffices for most Stable Diffusion runs at $0.06 per hour average, outperforming value-wise against RTX A4000's higher cost.
RTX A4000's 19.2 TFLOPS FP32 and 16 GB VRAM accelerate simulations; RTX 3060 Ti's 12.7 TFLOPS suits simpler computations.
Frequently Asked Questions
Which GPU is faster in FP32 performance?▾
The RTX A4000 achieves 19.2 TFLOPS in FP32. The RTX 3060 Ti reaches 12.7 TFLOPS. This 51 percent edge favors RTX A4000 for compute-heavy tasks.
What are the VRAM differences?▾
RTX A4000 has 16 GB GDDR6 VRAM with 448 GB/s bandwidth. RTX 3060 Ti offers 12 GB GDDR6 at 360 GB/s. More VRAM aids larger models.
How do cloud prices compare?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 across 2 offers. RTX A4000 begins at $0.08 per hour, averaging $0.37 over 28 offers.
Which has lower power consumption?▾
RTX A4000 draws 140 W TDP. RTX 3060 Ti requires 170 W. Lower TDP improves efficiency in dense cloud setups.
Are they the same architecture?▾
Both use Ampere from 2021. Shared PCIe form factor ensures compatibility, but RTX A4000 optimizes for professional stability.
Is RTX 3060 Ti good for AI inference?▾
RTX 3060 Ti's 12.7 TFLOPS FP16 supports efficient inference for models under 12 GB. Its low $0.03 per hour rate enhances affordability.
Which is cheaper to rent, the RTX 3060 or the RTX A4000?▾
Cloud rental prices for both the RTX 3060 and RTX A4000 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 A4000?▾
The RTX 3060 has 12 GB of GDDR6 memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find RTX 3060 and RTX A4000 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 A4000?▾
The RTX 3060 uses the Ampere architecture (2021) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 1.5x the FP16 throughput and 1.2x the memory bandwidth of the RTX 3060.