Specifications Compared
| Spec | RTX-3060 | V100 |
|---|---|---|
| TDP | 170W | 300W |
| VRAM | 12 GB | 16-32 GB |
| CUDA Cores | 3,584 | 5,120 |
| Memory Type | GDDR6 | HBM2 |
| Architecture | Ampere | Volta |
| Form Factors | PCIe | SXM2, PCIe |
| Interconnect | NVLink, PCIe 3.0 | |
| Tensor Cores | 112 | 640 |
| FP16 Performance | 12.7 TFLOPS | 125 TFLOPS |
| FP32 Performance | 12.7 TFLOPS | 15.7 TFLOPS |
| Memory Bandwidth | 360 GB/s | 900 GB/s |
Performance Analysis
FP16 performance reveals a stark contrast: V100 32 GB achieves 125 TFLOPS, nearly ten times the RTX 3060 Ti's 12.7 TFLOPS, accelerating mixed-precision training where tensor cores dominate. FP32 rates are closer at 15.7 TFLOPS for V100 versus 12.7 TFLOPS for RTX 3060 Ti, favoring V100 slightly for inference and general compute.
Memory bandwidth of 900 GB/s on V100 32 GB doubles the RTX 3060 Ti's 360 GB/s, enabling larger batch sizes in training and reducing data transfer bottlenecks for deep learning models. The 32 GB HBM2 capacity versus 12 GB GDDR6 supports bigger models without out-of-memory errors. Higher 300 W TDP on V100 requires datacenter cooling, while RTX 3060 Ti's 170 W suits lighter deployments; Ampere's newer architecture benefits from recent software stacks.
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 |
Tesla V100 32GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Texas | $0.19/GPU/hr | Available | ||
![]() TensorDock | NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 0 vCPU 0GB RAM | New York City | $0.19/GPU/hr | Available | ||
![]() TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Texas | $0.29/GPU/hr | Available | ||
![]() TensorDock | NVIDIA Tesla V100 32GB 32GB VRAM | 32GB | 0 vCPU 0GB RAM | New York City | $0.29/GPU/hr | Available | ||
![]() Lambda Labs | 8×NVIDIA Tesla V100 16GB 16GB VRAM | 16GB | 88 vCPU 448GB RAM 6041GB Storage | Texas | $0.79/GPU/hr $6.32/hr total (8×) | Available |
When to Choose the RTX 3060 Ti
RTX 3060 Ti suits budget-conscious users: its $0.03 to $0.06 per hour pricing delivers 12.7 TFLOPS FP32 for inference, fine-tuning small models, and Stable Diffusion with 12 GB VRAM. The 170 W TDP fits standard cloud instances without high power demands. Choose it for prototyping or low-volume tasks where cost trumps peak speed.
When to Choose the Tesla V100 32GB
V100 32 GB outperforms in demanding workloads: 125 TFLOPS FP16 accelerates LLM training, and 900 GB/s bandwidth with 32 GB HBM2 handles large batches effectively. NVLink interconnect scales multi-GPU setups unavailable on RTX 3060 Ti. Select it for production-scale AI training despite $0.29 to $1.01 per hour costs.
Use Cases
V100 32 GB's 125 TFLOPS FP16 and 32 GB HBM2 with 900 GB/s bandwidth enable faster training of large language models than RTX 3060 Ti's 12.7 TFLOPS and 12 GB VRAM.
RTX 3060 Ti's 12.7 TFLOPS FP32 suffices for most inference at $0.06 per hour average, making V100 32 GB's higher specs overprovisioned.
RTX 3060 Ti handles small-scale fine-tuning cost-effectively with 12 GB VRAM; V100 32 GB accelerates larger efforts via 125 TFLOPS FP16.
RTX 3060 Ti's 12 GB GDDR6 and 12.7 TFLOPS support image generation efficiently at low $0.03 per hour cost, adequate for consumer workloads.
V100 32 GB's 15.7 TFLOPS FP32, 900 GB/s bandwidth, and NVLink excel in simulations requiring high throughput and multi-GPU scaling.
Frequently Asked Questions
Is RTX 3060 Ti faster than V100 32 GB?▾
No, V100 32 GB leads with 125 TFLOPS FP16 versus 12.7 TFLOPS and 15.7 TFLOPS FP32 versus 12.7 TFLOPS. RTX 3060 Ti offers better value at $0.06 per hour average.
RTX 3060 Ti vs V100 for ML training?▾
V100 32 GB excels in training due to 125 TFLOPS FP16, 32 GB HBM2, and 900 GB/s bandwidth for large batches. RTX 3060 Ti suits lighter training at lower cost.
What is the VRAM difference between RTX 3060 Ti and V100?▾
RTX 3060 Ti has 12 GB GDDR6; V100 32 GB provides 32 GB HBM2. This allows V100 to load larger models without issues.
Cloud pricing for RTX 3060 Ti vs V100 32 GB?▾
RTX 3060 Ti starts at $0.03 per hour, averaging $0.06 across two offers. V100 32 GB begins at $0.29 per hour, averaging $1.01 across 46 offers.
Power consumption RTX 3060 Ti vs V100?▾
RTX 3060 Ti draws 170 W TDP in PCIe form. V100 32 GB requires 300 W in SXM2 or PCIe with NVLink.
Which has higher memory bandwidth?▾
V100 32 GB achieves 900 GB/s with HBM2. RTX 3060 Ti reaches 360 GB/s with GDDR6.
Which is cheaper to rent, the RTX 3060 or the V100?▾
Cloud rental prices for both the RTX 3060 and V100 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 V100?▾
The RTX 3060 has 12 GB of GDDR6 memory. The V100 has 16 to 32 GB of HBM2 memory.
Can I find RTX 3060 and V100 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 V100?▾
The RTX 3060 uses the Ampere architecture (2021) while the V100 uses Volta (2017). The V100 delivers 9.8x the FP16 throughput and 2.5x the memory bandwidth of the RTX 3060.


