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 A4500 delivers superior compute: 19.3 TFLOPS in FP16 and FP32 compared to 16.2 TFLOPS on the RTX 3060 Ti, yielding a 19 percent advantage. This boost accelerates deep learning training and inference, where FP16 precision dominates for efficiency in neural networks. Larger models process faster on the A4500, reducing epoch times in practice.
Memory specs differentiate further: 600 GB/s bandwidth on the A4500 versus 448 GB/s enables larger batch sizes, minimizing data loading bottlenecks in training loops. The 20 GB VRAM dwarfs the 3060 Ti's 8 GB, allowing bigger datasets or models without out-of-memory errors, critical for LLM fine-tuning or high-resolution diffusion models. Both maintain 200 W TDP, but the A4500 offers better performance per watt at 0.0965 TFLOPS per watt versus 0.081 TFLOPS per watt.
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 | 24 vCPU 110GB RAM 3881GB Storage | Texas | $0.23/GPU/hr $0.90/hr total (4×) | 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 | 64 vCPU 126GB RAM 3050GB Storage | Texas | $0.23/GPU/hr $0.45/hr total (2×) | Available |
RTX A4500
| 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 scenarios with models under 8 GB VRAM. Its low $0.03 per hour starting price fits prototyping, lightweight inference, or Stable Diffusion at 512x512 resolutions. The 16.2 TFLOPS and 448 GB/s bandwidth handle small batch training effectively without excess expense.
When to Choose the RTX A4500
Select the RTX A4500 for memory-heavy tasks requiring 20 GB VRAM. Its 600 GB/s bandwidth and 19.3 TFLOPS excel in large LLM training or scientific simulations with big datasets. ECC memory ensures data integrity for professional production, justifying the $0.10 per hour cost.
Use Cases
The RTX A4500's 20 GB VRAM accommodates large language models, unlike the 8 GB limit on RTX 3060 Ti. Higher 19.3 TFLOPS speeds convergence.
20 GB VRAM supports bigger batch sizes for production inference on the A4500. 600 GB/s bandwidth reduces latency compared to 448 GB/s on 3060 Ti.
Small models fit 8 GB on RTX 3060 Ti for cheap prototyping at $0.03 per hour. Larger ones need A4500's 20 GB.
RTX 3060 Ti's 8 GB VRAM suffices for standard generations with 16.2 TFLOPS. Lower $0.06 per hour average beats A4500 for casual use.
A4500's ECC VRAM and 19.3 TFLOPS ensure reliability for simulations. 600 GB/s bandwidth handles complex datasets better than 448 GB/s.
Frequently Asked Questions
Which GPU has more VRAM: RTX 3060 Ti or RTX A4500?▾
The RTX A4500 provides 20 GB GDDR6 VRAM. The RTX 3060 Ti offers 8 GB GDDR6. This gap affects model size capacity in AI workloads.
What is the compute performance difference?▾
RTX A4500 achieves 19.3 TFLOPS in FP16 and FP32. RTX 3060 Ti delivers 16.2 TFLOPS in both. The 19 percent edge favors A4500 for training.
How do cloud prices compare?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 across 2 offers. RTX A4500 begins at $0.10 per hour, averaging $0.19 across 4 offers. Budget tasks favor 3060 Ti.
What are the memory bandwidth specs?▾
RTX A4500 has 600 GB/s bandwidth. RTX 3060 Ti provides 448 GB/s. Higher bandwidth on A4500 supports larger batches.
Do they have the same power consumption?▾
Both GPUs feature 200 W TDP. RTX A4500 extracts more performance at 19.3 TFLOPS versus 16.2 TFLOPS on 3060 Ti.
Does RTX A4500 support ECC memory?▾
Yes, RTX A4500 includes ECC on its 20 GB GDDR6 VRAM for error correction. RTX 3060 Ti lacks ECC on 8 GB GDDR6.
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.