Specifications Compared
| Spec | QUADRO-RTX-6000 | RTX-3060 |
|---|---|---|
| TDP | 260W | 170W |
| VRAM | 24 GB | 12 GB |
| CUDA Cores | 4,608 | 3,584 |
| Memory Type | GDDR6 | GDDR6 |
| Architecture | Turing | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| Tensor Cores | 576 | 112 |
| FP16 Performance | 16.3 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 16.3 TFLOPS | 12.7 TFLOPS |
| Memory Bandwidth | 672 GB/s | 360 GB/s |
Performance Analysis
Peak FP16 and FP32 performance shows minimal difference: 16.3 TFLOPS on the Quadro RTX 6000 nearly matches the RTX 3060 Ti's 16.2 TFLOPS, suggesting equivalent throughput for neural network training and inference in floating-point operations. This parity implies similar iteration speeds on models where compute dominates over memory constraints.
The Quadro RTX 6000's 24 GB VRAM versus 8 GB on the RTX 3060 Ti enables larger batch sizes or bigger models without out-of-memory errors, critical for training deep networks. Higher memory bandwidth of 672 GB/s on the Quadro RTX 6000 outpaces the 448 GB/s on the RTX 3060 Ti, reducing bottlenecks in data-heavy tasks like image processing or simulations and allowing sustained higher batch sizes. The Quadro RTX 6000's 260W TDP exceeds the RTX 3060 Ti's 200W, potentially increasing operational costs in power-sensitive cloud deployments.
NVLink on the Quadro RTX 6000 facilitates efficient multi-GPU communication, unlike the RTX 3060 Ti, benefiting distributed training 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 | 24 vCPU 28GB RAM 970GB Storage | Texas | $0.23/GPU/hr | Available | ||
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 | 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 |
When to Choose the Quadro RTX 6000
Select the Quadro RTX 6000 for memory-intensive workloads exceeding 8 GB VRAM, such as training large language models with batch sizes over 16 or handling high-resolution datasets. Its 24 GB GDDR6 and 672 GB/s bandwidth support sustained performance without paging, ideal for professional visualization or simulations requiring NVLink multi-GPU connectivity.
When to Choose the RTX 3060 Ti
Choose the RTX 3060 Ti for cost-sensitive projects where 8 GB VRAM suffices, like fine-tuning mid-sized models or inference on batches under 8. Cloud pricing starts at $0.03 per hour, averaging $0.06 per hour, offers unmatched value with 16.2 TFLOPS FP32 performance and lower 200W TDP for efficient scaling.
Use Cases
The Quadro RTX 6000's 24 GB VRAM supports larger models and batch sizes than the RTX 3060 Ti's 8 GB limit. Its 672 GB/s bandwidth sustains high throughput during extended training runs.
The RTX 3060 Ti's 16.2 TFLOPS FP16 matches the Quadro RTX 6000 closely for inference speed, with 8 GB VRAM sufficient for most deployed models. Low pricing from $0.03 per hour enhances scalability.
24 GB VRAM on the Quadro RTX 6000 accommodates bigger datasets and gradients versus 8 GB on the RTX 3060 Ti. NVLink aids multi-GPU fine-tuning setups.
Both GPUs manage Stable Diffusion within 8 GB VRAM limits at typical resolutions, with similar 16+ TFLOPS performance. RTX 3060 Ti offers better pricing at $0.03 per hour.
Comparable FP32 at 16.3 TFLOPS for Quadro RTX 6000 and 16.2 TFLOPS for RTX 3060 Ti suits simulations. Choose based on VRAM needs: 24 GB versus 8 GB.
Frequently Asked Questions
Which GPU has more VRAM: Quadro RTX 6000 or RTX 3060 Ti?▾
The Quadro RTX 6000 has 24 GB GDDR6 VRAM, compared to 8 GB GDDR6 on the RTX 3060 Ti. This makes the Quadro RTX 6000 better for large models. The RTX 3060 Ti suffices for workloads under 8 GB.
How do their compute performances compare?▾
Both deliver around 16 TFLOPS: Quadro RTX 6000 at 16.3 TFLOPS FP16 and FP32, RTX 3060 Ti at 16.2 TFLOPS. Real-world training and inference speeds are similar. Differences appear in memory-bound tasks.
What is the memory bandwidth difference?▾
Quadro RTX 6000 offers 672 GB/s, exceeding the RTX 3060 Ti's 448 GB/s by 50 percent. Higher bandwidth benefits larger batch sizes. This impacts data transfer in ML pipelines.
Which has lower power consumption?▾
The RTX 3060 Ti uses 200W TDP, lower than the Quadro RTX 6000's 260W. This reduces cloud costs for long runs. Efficiency favors the RTX 3060 Ti in power-limited setups.
Is there cloud pricing for these GPUs?▾
RTX 3060 Ti pricing starts at $0.03 per hour, averaging $0.06 per hour across two offers. No live offers exist for Quadro RTX 6000. Availability drives RTX 3060 Ti adoption.
Does Quadro RTX 6000 support multi-GPU better?▾
Yes, via NVLink interconnect, unlike the RTX 3060 Ti. This enables faster scaling for distributed training. Professional workloads benefit most from this feature.
Which is cheaper to rent, the Quadro RTX 6000 or the RTX 3060?▾
Cloud rental prices for both the Quadro RTX 6000 and RTX 3060 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 Quadro RTX 6000 have compared to the RTX 3060?▾
The Quadro RTX 6000 has 24 GB of GDDR6 memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find Quadro RTX 6000 and RTX 3060 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 Quadro RTX 6000 and the RTX 3060?▾
The Quadro RTX 6000 uses the Turing architecture (2018) while the RTX 3060 uses Ampere (2021). The Quadro RTX 6000 delivers 1.3x the FP16 throughput and 1.9x the memory bandwidth of the RTX 3060.