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
Compute performance defines the core disparity: the RTX 5060 delivers 23.1 TFLOPS in FP16 and FP32, surpassing the GTX 1080's 8.9 TFLOPS by 2.6 times. This boost accelerates machine learning training, where FP16 tensor cores enable faster matrix multiplications, and FP32 ensures precision for scientific simulations.
Memory bandwidth improvements prove critical: 448 GB/s on the RTX 5060 versus 320 GB/s on the GTX 1080 allows larger batch sizes in training loops, minimizing data transfer bottlenecks and improving throughput by up to 40 percent in memory-bound tasks.
VRAM capacity edges higher at 12 GB GDDR7 for the RTX 5060 compared to 8 to 11 GB GDDR5X on the GTX 1080, supporting larger models during inference without swapping to system RAM. Both maintain identical 180W TDP, ensuring comparable power costs in cloud environments, but the newer architecture yields superior efficiency per watt.
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
| 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 | ||
Vast.ai | NVIDIA GeForce RTX 5060 Ti 16GB VRAM | 16GB | 128 vCPU 31GB RAM 1526GB Storage | Maryland | $0.27/GPU/hr | Available |
When to Choose the GTX 1080
The GTX 1080 suits legacy applications optimized for Pascal architecture, where software lacks Blackwell support. Its 8 to 11 GB GDDR5X VRAM handles workloads fitting within those limits, such as older fine-tuning tasks not requiring over 11 GB.
Choose it in rare scenarios with only two cloud offers at $0.30 to $0.45 per hour if RTX 5060 availability falters, prioritizing immediate access over peak performance.
When to Choose the RTX 5060
The RTX 5060 excels in modern machine learning pipelines due to 23.1 TFLOPS compute and 448 GB/s bandwidth, enabling 2.6 times faster training and larger batches than the GTX 1080.
Its cloud pricing from $0.07 per hour averaging $0.15 per hour across six offers delivers unmatched value, ideal for inference, fine-tuning, and generative tasks on Blackwell-optimized frameworks.
Use Cases
The RTX 5060's 23.1 TFLOPS FP16 performance and 448 GB/s bandwidth enable 2.6 times faster training with larger batches than the GTX 1080's 8.9 TFLOPS and 320 GB/s.
Higher 23.1 TFLOPS and 12 GB VRAM on the RTX 5060 support efficient serving of larger models at lower latency compared to the GTX 1080's 8.9 TFLOPS and 8 to 11 GB.
RTX 5060's 2.6 times compute advantage and superior bandwidth reduce fine-tuning times significantly over the GTX 1080 for memory-intensive adaptations.
The 12 GB GDDR7 VRAM and 448 GB/s on RTX 5060 handle high-resolution image generation faster than GTX 1080's 8 to 11 GB GDDR5X and 320 GB/s.
23.1 TFLOPS FP32 on RTX 5060 outperforms GTX 1080's 8.9 TFLOPS for simulations, with identical TDP ensuring power parity.
Frequently Asked Questions
Which GPU has higher compute performance, GTX 1080 or RTX 5060?▾
The RTX 5060 achieves 23.1 TFLOPS in FP16 and FP32, 2.6 times higher than the GTX 1080's 8.9 TFLOPS. This gap accelerates training and inference tasks significantly.
How do VRAM capacities compare between GTX 1080 and RTX 5060?▾
RTX 5060 offers 12 GB GDDR7 VRAM, exceeding the GTX 1080's 8 to 11 GB GDDR5X. The extra capacity supports larger AI models without offloading.
What are the cloud pricing differences for these GPUs?▾
GTX 1080 pricing starts from $0.30 per hour averaging $0.45 per hour across two offers. RTX 5060 is cheaper at $0.07 per hour averaging $0.15 per hour across six offers.
Do both GPUs have the same power consumption?▾
Yes, both feature 180W TDP and PCIe form factors. This equality allows fair power cost comparisons in cloud setups.
Which has better memory bandwidth?▾
RTX 5060 provides 448 GB/s, 40 percent higher than GTX 1080's 320 GB/s. Improved bandwidth enhances batch processing in ML workloads.
What architectures power these GPUs?▾
GTX 1080 uses Pascal from 2016, while RTX 5060 employs Blackwell from 2025. The newer architecture delivers advancements in efficiency and performance.
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.