Specifications Compared
| Spec | RTX-3060 | RTX-A6000 |
|---|---|---|
| TDP | 170W | 300W |
| VRAM | 12 GB | 48 GB |
| CUDA Cores | 3,584 | 10,752 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 112 | 336 |
| FP16 Performance | 12.7 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 360 GB/s | 768 GB/s |
Performance Analysis
Compute performance favors the RTX A6000 decisively: its 38.7 TFLOPS in FP16 and FP32 dwarfs the RTX 3060 Ti's 16.2 TFLOPS, delivering 2.4 times faster matrix operations critical for neural network training and inference. FP16 equivalence to FP32 enables mixed-precision training on both, but the A6000's scale accelerates convergence in large datasets. The 300 W TDP sustains higher clocks compared to the 3060 Ti's 200 W. Memory defines real-world viability: 48 GB VRAM on the A6000 supports batch sizes six times larger than 8 GB, vital for transformers exceeding consumer limits. Bandwidth at 768 GB/s, 1.7 times the 3060 Ti's 448 GB/s, reduces latency in data-heavy inference, preventing stalls in Stable Diffusion or LLM serving.
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 | 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 A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
![]() RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
![]() Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
![]() Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
![]() Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the RTX 3060 Ti
The RTX 3060 Ti suits entry-level cloud workloads on tight budgets. With pricing from $0.03 per hour and 8 GB VRAM, it handles inference for models under 7 GB, fine-tuning small LLMs, or Stable Diffusion at 512x512 resolutions. Its 200 W TDP and 448 GB/s bandwidth enable efficient single-GPU runs without NVLink needs.
When to Choose the RTX A6000
The RTX A6000 dominates memory-intensive professional tasks. 48 GB VRAM and 768 GB/s bandwidth support large-batch training of 30 GB+ models, while 38.7 TFLOPS cuts epochs versus the 3060 Ti. NVLink facilitates scaling across multiple GPUs for distributed scientific computing or enterprise inference.
Use Cases
48 GB VRAM accommodates billion-parameter models; 38.7 TFLOPS provides 2.4x speedup over 16.2 TFLOPS.
768 GB/s bandwidth sustains high throughput for large batches; NVLink enables multi-GPU serving.
Small models fit 8 GB on 3060 Ti for prototyping; 48 GB on A6000 scales to full datasets.
8 GB VRAM suffices for standard generations; $0.03/hr pricing fits iterative creative workflows.
38.7 TFLOPS and NVLink accelerate simulations; 48 GB handles complex datasets.
Frequently Asked Questions
What is the VRAM difference between RTX 3060 Ti and RTX A6000?▾
The RTX 3060 Ti has 8 GB GDDR6 VRAM. The RTX A6000 provides 48 GB GDDR6, enabling six times larger models or batches.
Which has higher performance, RTX 3060 Ti or A6000?▾
RTX A6000 delivers 38.7 TFLOPS in FP16 and FP32. RTX 3060 Ti offers 16.2 TFLOPS, making A6000 2.4 times faster.
How do cloud prices compare for these GPUs?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 across two offers. RTX A6000 begins at $0.17 per hour, averaging $1.00 across 64 offers.
What are the TDPs of RTX 3060 Ti and RTX A6000?▾
RTX 3060 Ti consumes 200 W. RTX A6000 requires 300 W, supporting sustained high-performance compute.
Does RTX 3060 Ti support multi-GPU setups like A6000?▾
RTX 3060 Ti uses PCIe without NVLink. RTX A6000 includes NVLink for efficient multi-GPU interconnects.
Is RTX 3060 Ti good for AI training?▾
RTX 3060 Ti works for small models with 8 GB VRAM and 16.2 TFLOPS. Larger training favors A6000's 48 GB and 38.7 TFLOPS.
Which is cheaper to rent, the RTX 3060 or the RTX A6000?▾
Cloud rental prices for both the RTX 3060 and RTX A6000 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 A6000?▾
The RTX 3060 has 12 GB of GDDR6 memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find RTX 3060 and RTX A6000 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 A6000?▾
The RTX 3060 uses the Ampere architecture (2021) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 3.0x the FP16 throughput and 2.1x the memory bandwidth of the RTX 3060.




