Specifications Compared
| Spec | GTX-1080 | RTX-5060 |
|---|---|---|
| TDP | 180W | 180W |
| VRAM | 8-11 GB | 12 GB |
| CUDA Cores | 2,560 | 4,608 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 23.1 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 23.1 TFLOPS |
| Memory Bandwidth | 320 GB/s | 448 GB/s |
Performance Analysis
RTX 5060 Ti's 23.1 TFLOPS FP16 and FP32 performance delivers 2.6 times the compute power of GTX 1080's 8.9 TFLOPS, accelerating machine learning training and inference workloads. In training scenarios, this enables completing epochs over 2.5 times faster for FP16-optimized models, reducing total compute time significantly.
The 448 GB/s memory bandwidth on RTX 5060 Ti exceeds GTX 1080's 320 GB/s by 40 percent, permitting larger batch sizes in deep learning pipelines and minimizing memory bottlenecks during inference. This upgrade proves critical for handling high-resolution models or datasets where data transfer limits throughput.
Despite identical 180 W TDP, RTX 5060 Ti's architectural advancements yield superior efficiency per watt, making it preferable for sustained cloud workloads.
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 5060 Ti
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 2×NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 63GB RAM 1345GB Storage | Maryland | $0.27/GPU/hr $0.53/hr total (2×) | Available |
When to Choose the GTX 1080
GTX 1080 fits legacy software ecosystems locked to Pascal architecture, avoiding recompilation for applications using 8.9 TFLOPS FP32 performance. Its 8 to 11 GB VRAM suffices for small-scale inference on models under 8 GB, and $0.30 per hour pricing appeals where compatibility trumps modernity.
When to Choose the RTX 5060 Ti
RTX 5060 Ti dominates modern AI pipelines with 23.1 TFLOPS FP16 throughput and 12 GB VRAM, enabling larger models and batches infeasible on GTX 1080. At $0.07 per hour minimum, it offers unmatched value for scalable training and inference across 10 cloud providers.
Use Cases
RTX 5060 Ti's 23.1 TFLOPS FP16 performance accelerates training 2.6 times over GTX 1080's 8.9 TFLOPS. Its 12 GB VRAM handles larger batches critical for LLMs.
Higher 448 GB/s bandwidth on RTX 5060 Ti supports faster token generation than GTX 1080's 320 GB/s. 23.1 TFLOPS FP32 ensures low-latency responses.
RTX 5060 Ti's superior FP16 throughput and 12 GB VRAM enable efficient fine-tuning of mid-sized models. GTX 1080 limits scale with 8-11 GB VRAM.
RTX 5060 Ti generates images faster via 23.1 TFLOPS and GDDR7 memory, outperforming GTX 1080 in resolution and speed.
Both offer 180 W TDP and PCIe compatibility for simulations. RTX 5060 Ti excels at scale, but GTX 1080 suffices for FP32 tasks under 8.9 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM: GTX 1080 or RTX 5060 Ti?▾
RTX 5060 Ti provides 12 GB GDDR7 VRAM, exceeding GTX 1080's 8 to 11 GB GDDR5X. This supports larger models in AI workloads. Bandwidth also favors RTX 5060 Ti at 448 GB/s over 320 GB/s.
What is the performance difference in TFLOPS?▾
RTX 5060 Ti delivers 23.1 TFLOPS for FP16 and FP32, 2.6 times higher than GTX 1080's 8.9 TFLOPS. This gap accelerates training and inference tasks. Both share 180 W TDP.
How do cloud prices compare for these GPUs?▾
GTX 1080 averages $0.30 per hour across one offer. RTX 5060 Ti starts at $0.07 per hour, averaging $0.15 across 10 offers. RTX 5060 Ti provides better value.
Is RTX 5060 Ti compatible with older software?▾
RTX 5060 Ti uses Blackwell architecture, requiring modern drivers unlike Pascal-based GTX 1080. PCIe form factor ensures hardware compatibility. Test workloads for CUDA version support.
Which is better for machine learning training?▾
RTX 5060 Ti excels with 23.1 TFLOPS FP16 and 448 GB/s bandwidth, enabling 2.6 times faster training than GTX 1080. 12 GB VRAM handles bigger batches. Power draw remains 180 W.
Do they have the same power consumption?▾
Both GPUs feature 180 W TDP, ensuring equivalent power needs. RTX 5060 Ti achieves higher 23.1 TFLOPS efficiency per watt. This suits budget-conscious cloud users.
Which is cheaper to rent, the GTX 1080 or the RTX 5060?▾
Cloud rental prices for both the GTX 1080 and RTX 5060 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 5060?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 5060 has 12 GB of GDDR7 memory.
Can I find GTX 1080 and RTX 5060 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 5060?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 5060 uses Blackwell (2025). The RTX 5060 delivers 2.6x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.