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
The RTX 4080's FP16 and FP32 performance of 48.7 TFLOPS dwarfs the GTX 1080's 8.9 TFLOPS: training deep learning models accelerates by approximately 5.5 times, reducing epochs from days to hours on equivalent datasets. Inference benefits similarly, with higher throughput for real-time applications like chatbots or image generation.
Memory specifications define practical limits. The RTX 4080's 16 GB VRAM supports batch sizes twice as large as the GTX 1080's 8-11 GB, minimizing out-of-memory errors for models exceeding 7B parameters. Bandwidth at 717 GB/s versus 320 GB/s cuts data loading bottlenecks by over 120%, vital for memory-bound tasks such as Stable Diffusion where texture transfers dominate.
Power efficiency shifts with TDP: the GTX 1080's 180W suits low-power setups, but the RTX 4080's 320W yields superior performance per watt in FP32 tasks, 48.7 TFLOPS at 320W versus 8.9 TFLOPS at 180W.
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 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
The GTX 1080 suits scenarios with strict power or compatibility constraints. Its 180W TDP fits edge deployments or older servers lacking 320W capacity, such as compact cloud instances. Legacy Pascal-optimized software runs natively without Ada Lovelace adaptations.
For ultra-light workloads like basic inference on models under 1B parameters, the GTX 1080's 8.9 TFLOPS and 8-11 GB VRAM suffice, especially if cloud offers at $0.30/hr minimum align with sporadic use.
When to Choose the RTX 4080
The RTX 4080 excels in demanding AI tasks requiring high throughput. Its 48.7 TFLOPS FP16/FP32 and 16 GB VRAM handle large-scale LLM training or fine-tuning without compromises on batch sizes.
Cloud economics tip the scale: at $0.11/hr minimum and $0.28/hr average across 8 offers, it undercuts the GTX 1080's $0.45/hr average, making it ideal for prolonged compute sessions.
Use Cases
The RTX 4080's 48.7 TFLOPS FP16 and 16 GB VRAM enable training of large models with bigger batches, far surpassing the GTX 1080's 8.9 TFLOPS and 8-11 GB limits.
Higher 48.7 TFLOPS FP32 throughput on the RTX 4080 supports faster token generation; 717 GB/s bandwidth reduces latency compared to the GTX 1080's 320 GB/s.
RTX 4080's doubled VRAM to 16 GB accommodates parameter-efficient fine-tuning on mid-sized LLMs, with 5.5x FLOPS speedup over GTX 1080's 8.9 TFLOPS.
The RTX 4080's 717 GB/s bandwidth and 16 GB VRAM handle high-resolution generations without swapping, outperforming GTX 1080's 320 GB/s and 8-11 GB.
48.7 TFLOPS FP32 on RTX 4080 accelerates simulations like molecular dynamics; greater bandwidth supports large datasets versus GTX 1080's constraints.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX 4080 provides 16 GB GDDR6X VRAM. The GTX 1080 offers 8-11 GB GDDR5X. This difference allows the RTX 4080 to load larger models without issues.
How do their FLOPS compare?▾
RTX 4080 achieves 48.7 TFLOPS in FP16 and FP32. GTX 1080 delivers 8.9 TFLOPS per precision. The RTX 4080 is 5.5 times faster for compute-intensive tasks.
What is the cloud pricing difference?▾
RTX 4080 starts at $0.11/hr average $0.28/hr across 8 offers. GTX 1080 starts at $0.30/hr average $0.45/hr across 2 offers. RTX 4080 provides better value.
Which has higher memory bandwidth?▾
RTX 4080 bandwidth reaches 717 GB/s. GTX 1080 is limited to 320 GB/s. Higher bandwidth on RTX 4080 reduces bottlenecks in data-heavy workloads.
What are the TDP ratings?▾
GTX 1080 TDP is 180W. RTX 4080 TDP is 320W. Lower TDP makes GTX 1080 suitable for power-constrained environments.
Which is better for AI training?▾
RTX 4080 excels with 48.7 TFLOPS and 16 GB VRAM for faster training. GTX 1080's 8.9 TFLOPS suits only small-scale tasks.
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.