Specifications Compared
| Spec | GTX-1080 | RTX-3060 |
|---|---|---|
| TDP | 180W | 170W |
| VRAM | 8-11 GB | 12 GB |
| CUDA Cores | 2,560 | 3,584 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 12.7 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 12.7 TFLOPS |
| Memory Bandwidth | 320 GB/s | 360 GB/s |
Performance Analysis
Higher FP16 and FP32 throughput on the RTX 3060 Ti reaches 12.7 TFLOPS, exceeding the GTX 1080's 8.9 TFLOPS by 43 percent, which accelerates deep learning training and inference tasks. Training large models benefits from this compute edge, as FP16 precision handles matrix operations efficiently on Ampere architecture. Inference workloads see proportional speedups, processing more samples per second.
The RTX 3060 Ti's 360 GB/s memory bandwidth tops the GTX 1080's 320 GB/s, enabling larger batch sizes in training without memory bottlenecks. This 13 percent advantage sustains higher throughput in data-intensive scenarios like fine-tuning. Both share PCIe form factors and 170 to 180 W TDP, but the RTX 3060 Ti's lower 170 W draw offers marginal efficiency gains.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() LeaderGPU | 4×NVIDIA GeForce GTX 1080 8GB VRAM | 8GB | 0 vCPU 64GB RAM 480GB Storage | Netherlands | $0.30/GPU/hr $1.20/hr total (4×) | Available | ||
![]() LeaderGPU | 8×NVIDIA GeForce GTX 1080 Ti 11GB VRAM | 11GB | 0 vCPU 128GB RAM 480GB Storage | Netherlands | $0.60/GPU/hr $4.80/hr total (8×) | Available |
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 |
When to Choose the GTX 1080
The GTX 1080 fits legacy software tuned specifically to Pascal architecture, avoiding compatibility hurdles with Ampere-specific features. Its 8 to 11 GB GDDR5X VRAM supports workloads from 2016 to 2020 that underutilize newer tensor cores. At $0.30 per hour with one live offer, it serves as a fallback when RTX 3060 Ti availability is limited.
When to Choose the RTX 3060 Ti
The RTX 3060 Ti outperforms in contemporary AI and rendering tasks, leveraging 12.7 TFLOPS and 12 GB GDDR6 VRAM for modern frameworks. Its 360 GB/s bandwidth handles demanding batch processing effectively. Cloud pricing from $0.03 per hour average $0.06 makes it ideal for cost-sensitive scaling across two providers.
Use Cases
RTX 3060 Ti's 12.7 TFLOPS FP16 exceeds GTX 1080's 8.9 TFLOPS, speeding up large model training. Higher 360 GB/s bandwidth supports bigger batches.
12.7 TFLOPS FP32 on RTX 3060 Ti delivers 43 percent faster inference than 8.9 TFLOPS on GTX 1080. 12 GB VRAM accommodates larger models.
Ampere architecture and 12.7 TFLOPS enable efficient fine-tuning on RTX 3060 Ti over Pascal's 8.9 TFLOPS. Lower $0.03 per hour cost aids experimentation.
RTX 3060 Ti's 12 GB VRAM and 360 GB/s bandwidth outperform GTX 1080's 8 to 11 GB and 320 GB/s for image generation tasks.
Both offer similar FP32 at 8.9 to 12.7 TFLOPS for simulations; choose RTX 3060 Ti for speed or GTX 1080 for legacy code compatibility.
Frequently Asked Questions
Which GPU has higher performance, GTX 1080 or RTX 3060 Ti?▾
The RTX 3060 Ti achieves 12.7 TFLOPS in FP16 and FP32, surpassing the GTX 1080's 8.9 TFLOPS by 43 percent. This edge applies to training and inference. Bandwidth also favors RTX 3060 Ti at 360 GB/s over 320 GB/s.
What is the VRAM difference between GTX 1080 and RTX 3060 Ti?▾
RTX 3060 Ti provides 12 GB GDDR6 VRAM, exceeding the GTX 1080's 8 to 11 GB GDDR5X. This supports larger models in ML tasks. Bandwidth pairs with VRAM at 360 GB/s on RTX 3060 Ti versus 320 GB/s.
How do cloud prices compare for these GPUs?▾
RTX 3060 Ti starts at $0.03 per hour average $0.06 across two offers, far below GTX 1080's $0.30 per hour from one offer. This makes RTX 3060 Ti more economical for extended runs. Prices reflect live market data.
What are the TDP ratings of GTX 1080 and RTX 3060 Ti?▾
GTX 1080 has 180 W TDP, while RTX 3060 Ti uses 170 W. The lower draw on RTX 3060 Ti improves power efficiency slightly. Both fit PCIe form factors.
Is RTX 3060 Ti better for machine learning than GTX 1080?▾
Yes, RTX 3060 Ti's Ampere architecture, 12.7 TFLOPS, and 12 GB VRAM outperform GTX 1080's Pascal, 8.9 TFLOPS, and 8 to 11 GB. It excels in training with 360 GB/s bandwidth. Pricing at $0.03 per hour seals the advantage.
When was each GPU released?▾
GTX 1080 launched in 2016 on Pascal architecture. RTX 3060 Ti arrived in 2021 on Ampere. The five-year gap explains spec improvements like 43 percent more TFLOPS.
Which is cheaper to rent, the GTX 1080 or the RTX 3060?▾
Cloud rental prices for both the GTX 1080 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 GTX 1080 have compared to the RTX 3060?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 3060 has 12 GB of GDDR6 memory.
Can I find GTX 1080 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 GTX 1080 and the RTX 3060?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 3060 uses Ampere (2021). The RTX 3060 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the GTX 1080.

