Specifications Compared
| Spec | GTX-1080 | RTX-4080 |
|---|---|---|
| TDP | 180W | 320W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,560 | 9,728 |
| Memory Type | GDDR5X | GDDR6X |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 48.7 TFLOPS |
| Memory Bandwidth | 320 GB/s | 717 GB/s |
Performance Analysis
Compute performance defines the core disparity: the RTX 4080 achieves 48.7 TFLOPS in FP16 and FP32, over four times the GTX 1080 Ti's 11.3 TFLOPS, accelerating ML training epochs and inference queries proportionally. For training, this enables processing larger datasets or models in a fraction of the time on the RTX 4080. Inference benefits similarly, with higher throughput supporting real-time applications at scale. Memory bandwidth reinforces this: 717 GB/s on the RTX 4080 versus 484 GB/s on the GTX 1080 Ti permits larger batch sizes without bottlenecks, reducing overall training time by minimizing data transfer delays. The 16 GB VRAM on RTX 4080 handles models exceeding 11 GB on GTX 1080 Ti, avoiding multi-GPU complexity. Higher 320 W TDP on RTX 4080 reflects its density, but per-TFLOP efficiency improves markedly over the 250 W Pascal design.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
GTX 1080 Ti
| 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 4080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the GTX 1080 Ti
The GTX 1080 Ti suits legacy workloads optimized for Pascal architecture, such as older CUDA applications incompatible with Ada Lovelace. Its 11 GB GDDR5X VRAM and 484 GB/s bandwidth suffice for fine-tuning small models under 10 GB or inference on modest datasets. At $0.60 per hour with limited availability, it appeals when RTX 4080 stock is unavailable and tasks do not demand over 11.3 TFLOPS.
When to Choose the RTX 4080
The RTX 4080 excels in modern ML pipelines requiring high throughput: its 48.7 TFLOPS handles LLM training or Stable Diffusion at speeds four times faster than GTX 1080 Ti's 11.3 TFLOPS. Superior 717 GB/s bandwidth and 16 GB VRAM support large batch sizes and models beyond 11 GB. Cloud pricing from $0.11 per hour averaging $0.26 across five providers offers better value for intensive compute.
Use Cases
RTX 4080's 48.7 TFLOPS and 16 GB VRAM enable faster training of large models with bigger batches compared to GTX 1080 Ti's 11.3 TFLOPS and 11 GB.
Higher 48.7 TFLOPS on RTX 4080 supports low-latency inference at scale; 717 GB/s bandwidth outperforms GTX 1080 Ti's 484 GB/s for high-query volumes.
RTX 4080 handles larger fine-tuning datasets via 16 GB VRAM and 48.7 TFLOPS, exceeding GTX 1080 Ti capabilities for models over 11 GB.
Ada Lovelace optimizations and 48.7 TFLOPS on RTX 4080 generate images 4x faster than GTX 1080 Ti's 11.3 TFLOPS.
Light simulations fit GTX 1080 Ti's 11.3 TFLOPS at $0.60 per hour; demanding HPC prefers RTX 4080's 48.7 TFLOPS and lower $0.26 average cost.
Frequently Asked Questions
Which GPU has higher performance: GTX 1080 Ti or RTX 4080?▾
The RTX 4080 leads with 48.7 TFLOPS in FP16 and FP32, over four times the GTX 1080 Ti's 11.3 TFLOPS. This gap accelerates ML tasks significantly. Memory bandwidth follows suit at 717 GB/s versus 484 GB/s.
What is the VRAM difference between GTX 1080 Ti and RTX 4080?▾
RTX 4080 provides 16 GB GDDR6X, surpassing GTX 1080 Ti's 11 GB GDDR5X for larger models. This supports bigger batch sizes in training. Bandwidth at 717 GB/s enhances data flow over 484 GB/s.
How do cloud prices compare for GTX 1080 Ti vs RTX 4080?▾
GTX 1080 Ti averages $0.60 per hour across one offer. RTX 4080 starts at $0.11 per hour, averaging $0.26 across five offers. Newer card offers better value for performance.
Is RTX 4080 more power efficient than GTX 1080 Ti?▾
RTX 4080 draws 320 W for 48.7 TFLOPS, while GTX 1080 Ti uses 250 W for 11.3 TFLOPS. Per-TFLOP efficiency favors RTX 4080 at roughly four times the output. This suits dense cloud deployments.
Can GTX 1080 Ti handle modern AI workloads?▾
GTX 1080 Ti manages small models up to 11 GB with 11.3 TFLOPS and 484 GB/s bandwidth. Larger tasks exceed its limits. RTX 4080 at 16 GB and 48.7 TFLOPS is preferable for current demands.
What architecture do these GPUs use?▾
GTX 1080 Ti employs Pascal from 2017. RTX 4080 uses Ada Lovelace from 2022. The upgrade brings tensor core advancements and higher 48.7 TFLOPS versus 11.3 TFLOPS.
Which is cheaper to rent, the GTX 1080 or the RTX 4080?▾
Cloud rental prices for both the GTX 1080 and RTX 4080 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 4080?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find GTX 1080 and RTX 4080 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 4080?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 4080 uses Ada Lovelace (2022). The RTX 4080 delivers 5.5x the FP16 throughput and 2.2x the memory bandwidth of the GTX 1080.