Specifications Compared
| Spec | RTX-3060 | RTX-A2000 |
|---|---|---|
| TDP | 170W | 70W |
| VRAM | 12 GB | 6-12 GB |
| CUDA Cores | 3,584 | 3,328 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 112 | 104 |
| FP16 Performance | 12.7 TFLOPS | 8 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 8 TFLOPS |
| Memory Bandwidth | 360 GB/s | 288 GB/s |
Performance Analysis
The RTX 3060 outperforms the RTX A2000 in raw compute: 12.7 TFLOPS FP16 and FP32 versus 8 TFLOPS enables 59 percent faster matrix operations critical for deep learning. This delta accelerates training epochs and inference throughput, particularly in models leveraging half-precision arithmetic.
Memory bandwidth defines practical limits: the RTX 3060's 360 GB/s supports larger batch sizes than the A2000's 288 GB/s, reducing data loading bottlenecks in VRAM-constrained scenarios. With fixed 12 GB VRAM on the RTX 3060 against the A2000's 6-12 GB variants, the former handles bigger models without swapping.
Power efficiency differentiates deployment: the A2000's 70W TDP versus 170W allows denser cloud instances, lowering cooling costs despite higher hourly rates. For inference serving multiple requests, lower TDP minimizes operational expenses, though RTX 3060's superior specs yield better tokens per dollar in high-throughput setups.
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 A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the RTX 3060
The RTX 3060 excels in performance-intensive tasks like model training or generation where 12.7 TFLOPS FP16/FP32 and 12 GB VRAM provide clear advantages. Its 360 GB/s bandwidth supports larger batches, ideal for users prioritizing speed over power draw at $0.03/hr starting price across 12 offers.
Budget-driven projects benefit from the average $0.07/hr rate, making it suitable for experimentation or prototyping without premium costs.
When to Choose the RTX A2000
The RTX A2000 suits low-power environments with its 70W TDP, enabling more GPUs per server compared to the RTX 3060's 170W. This is key for edge inference or dense cloud deployments where electricity and cooling matter.
At 6-12 GB VRAM and 288 GB/s bandwidth, it handles lighter workloads efficiently, especially when 8 TFLOPS suffices and availability across 3 offers at $0.06/hr fits specialized needs.
Use Cases
RTX 3060's 12.7 TFLOPS FP16 and 12 GB VRAM enable faster training of large models with bigger batches than A2000's 8 TFLOPS and 6-12 GB.
RTX 3060 offers higher 12.7 TFLOPS for throughput, but A2000's 70W TDP suits low-power serving; choice depends on batch size and density needs.
12 GB VRAM and 360 GB/s bandwidth on RTX 3060 handle larger datasets during fine-tuning better than A2000's 288 GB/s and variable VRAM.
RTX 3060's superior 12.7 TFLOPS and fixed 12 GB VRAM accelerate image generation pipelines over A2000's 8 TFLOPS.
Higher FP32 12.7 TFLOPS and bandwidth make RTX 3060 preferable for simulations requiring intensive floating-point operations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 3060 provides fixed 12 GB GDDR6 VRAM. The RTX A2000 offers 6-12 GB GDDR6, so configurations match at maximum but start lower.
What are the cloud rental prices?▾
RTX 3060 starts at $0.03/hr with average $0.07/hr across 12 offers. RTX A2000 starts at $0.06/hr with average $0.23/hr across 3 offers.
Which has higher performance?▾
RTX 3060 delivers 12.7 TFLOPS in FP16 and FP32. RTX A2000 provides 8 TFLOPS, making the 3060 59 percent faster in compute tasks.
What is the power consumption difference?▾
RTX 3060 has 170W TDP. RTX A2000 uses 70W TDP, allowing more efficient multi-GPU setups.
Are they compatible with the same workloads?▾
Both use Ampere architecture and PCIe form factor, supporting ML frameworks. RTX 3060 edges out in bandwidth at 360 GB/s versus 288 GB/s for data-heavy jobs.
Which is better for inference?▾
RTX 3060 suits high-throughput inference with 12.7 TFLOPS. RTX A2000 fits power-constrained inference at 70W TDP.
Which is cheaper to rent, the RTX 3060 or the RTX A2000?▾
Cloud rental prices for both the RTX 3060 and RTX A2000 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 A2000?▾
The RTX 3060 has 12 GB of GDDR6 memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find RTX 3060 and RTX A2000 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 A2000?▾
The RTX 3060 uses the Ampere architecture (2021) while the RTX A2000 uses Ampere (2021). The RTX 3060 delivers 1.6x the FP16 throughput and 1.3x the memory bandwidth of the RTX A2000.

