Specifications Compared
| Spec | GTX-1080 | RTX-A4000 |
|---|---|---|
| TDP | 180W | 140W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,560 | 6,144 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 19.2 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 19.2 TFLOPS |
| Memory Bandwidth | 320 GB/s | 448 GB/s |
Performance Analysis
Performance gaps favor the RTX A4500 decisively. Its 23.7 TFLOPS FP32 rating exceeds the GTX 1080 Ti's 11.3 TFLOPS by 110 percent, accelerating training and inference for models reliant on single-precision compute. FP16 parity at those rates supports mixed-precision workflows similarly, though Ampere tensor cores enable further sparsity gains up to 75.6 TFLOPS not reflected here. The A4500's 20 GB VRAM versus 11 GB allows larger batch sizes in LLM training, reducing overhead from model swapping. Bandwidth climbs from 484 GB/s to 640 GB/s, a 32 percent increase: this sustains higher throughput in memory-bound inference, enabling batches twice as large without saturation. Lower 200 W TDP yields 0.119 TFLOPS per watt versus 0.045 for the 1080 Ti, prioritizing dense cloud utilization.
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 A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the GTX 1080 Ti
The GTX 1080 Ti suits legacy Pascal-optimized codebases intolerant of Ampere changes. Its 11 GB VRAM handles fine-tuning smaller models under 10 billion parameters, where $0.60 per hour pricing competes if A4500 availability lags. Power-sensitive hosts avoid its 250 W draw for short burst tasks.
When to Choose the RTX A4500
The RTX A4500 excels in modern workflows demanding 20 GB VRAM for Stable Diffusion or LLMs over 13 billion parameters. At $0.10 to $0.19 per hour, it offers superior 23.7 TFLOPS and 640 GB/s bandwidth for production inference. Efficiency at 200 W TDP maximizes multi-GPU density.
Use Cases
RTX A4500's 20 GB VRAM supports larger models and batches than 11 GB on GTX 1080 Ti. 23.7 TFLOPS FP32 outperforms 11.3 TFLOPS for faster convergence.
640 GB/s bandwidth on A4500 handles high-throughput serving better than 484 GB/s. Lower $0.19 per hour cost scales economically.
GTX 1080 Ti suffices for models under 7B parameters at 11 GB VRAM. A4500 accelerates larger ones with 20 GB and 23.7 TFLOPS.
20 GB VRAM on A4500 fits full-resolution pipelines without swapping, unlike 11 GB limit. Ampere optimizations boost generation speed.
23.7 TFLOPS FP32 and 640 GB/s bandwidth excel in simulations. 200 W TDP enables denser clusters than 250 W Pascal.
Frequently Asked Questions
Does RTX A4500 have more VRAM than GTX 1080 Ti?▾
Yes, RTX A4500 provides 20 GB GDDR6 compared to 11 GB GDDR5X on GTX 1080 Ti. This supports larger models in training. Bandwidth also rises to 640 GB/s from 484 GB/s.
Which has higher FP32 performance?▾
RTX A4500 achieves 23.7 TFLOPS FP32, 110 percent above GTX 1080 Ti's 11.3 TFLOPS. FP16 matches this delta. Training times halve accordingly.
What are cloud prices for these GPUs?▾
GTX 1080 Ti averages $0.60 per hour across one offer. RTX A4500 starts at $0.10 per hour, averaging $0.19 across four. A4500 yields three times better value.
Is RTX A4500 more power efficient?▾
RTX A4500 draws 200 W TDP versus 250 W for GTX 1080 Ti. It delivers 0.119 TFLOPS per watt against 0.045. This suits dense cloud racks.
Can GTX 1080 Ti run modern LLMs?▾
GTX 1080 Ti's 11 GB VRAM limits it to models under 7B parameters. RTX A4500's 20 GB handles 30B plus. Bandwidth constrains large batches on Pascal.
Which architecture is newer?▾
RTX A4500 uses Ampere from 2021, succeeding Pascal in GTX 1080 Ti from 2017. Ampere adds tensor cores for AI acceleration beyond listed 23.7 TFLOPS.
Which is cheaper to rent, the GTX 1080 or the RTX A4000?▾
Cloud rental prices for both the GTX 1080 and RTX A4000 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 A4000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find GTX 1080 and RTX A4000 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 A4000?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX A4000 uses Ampere (2021). The RTX A4000 delivers 2.2x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.