Specifications Compared
| Spec | GTX-1080 | RTX-4500-ADA |
|---|---|---|
| TDP | 180W | 210W |
| VRAM | 8-11 GB | 24 GB |
| CUDA Cores | 2,560 | 7,680 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 39.6 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 39.6 TFLOPS |
| Memory Bandwidth | 320 GB/s | 432 GB/s |
Performance Analysis
The RTX 4500 Ada vastly outperforms the GTX 1080 in raw compute: 39.6 TFLOPS versus 8.9 TFLOPS in both FP16 and FP32 marks a 4.45 times increase. This delta translates to faster model training and inference in machine learning workflows, as FP16 accelerates mixed-precision training common in deep learning, while FP32 ensures precision for scientific simulations. The GTX 1080 suits lighter loads, but the RTX 4500 Ada handles complex neural networks with greater speed.
Memory specifications further favor the RTX 4500 Ada: 24 GB GDDR6 exceeds the GTX 1080's 8 to 11 GB GDDR5X, enabling larger batch sizes and bigger models without swapping to system RAM. Bandwidth at 432 GB/s on the RTX 4500 Ada surpasses 320 GB/s on the GTX 1080 by 35 percent, reducing bottlenecks in data-intensive tasks like image generation or large language model processing. Higher TDP of 210W on the newer GPU reflects its efficiency gains per watt in modern workloads.
Both GPUs share identical FP16 to FP32 ratios, indicating balanced tensor core utilization where present, but Ada Lovelace enhancements yield superior real-world throughput.
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 4500 Ada
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA RTX 4500 Ada 24GB VRAM | 24GB | 0 vCPU 0GB RAM | 🌍global | $0.74/GPU/hr |
When to Choose the GTX 1080
The GTX 1080 excels in budget-constrained environments for legacy applications. Its cloud pricing from $0.30 per hour, averaging $0.45, undercuts the RTX 4500 Ada by up to 12 percent, making it ideal for small-scale inference or prototyping on models fitting within 8 to 11 GB VRAM. Users with 180W power limits or Pascal-optimized software select it to minimize costs without needing 39.6 TFLOPS performance.
When to Choose the RTX 4500 Ada
The RTX 4500 Ada suits demanding AI and graphics workloads requiring modern features. With 24 GB VRAM and 39.6 TFLOPS compute, it processes large models infeasible on the GTX 1080's 8 to 11 GB and 8.9 TFLOPS. Despite a slight price premium averaging $0.51 per hour, its 432 GB/s bandwidth and Ada architecture deliver superior efficiency for training and generation tasks.
Use Cases
The RTX 4500 Ada's 39.6 TFLOPS and 24 GB VRAM enable training larger language models with bigger batches than the GTX 1080's 8.9 TFLOPS and 8 to 11 GB limits.
RTX 4500 Ada's higher 432 GB/s bandwidth and 39.6 TFLOPS support faster token generation for production inference, outperforming GTX 1080's 320 GB/s and 8.9 TFLOPS.
24 GB VRAM on RTX 4500 Ada accommodates full fine-tuning of mid-sized LLMs, unlike GTX 1080's capacity constraints at 8 to 11 GB.
GTX 1080 handles basic Stable Diffusion at 8.9 TFLOPS within 8 GB VRAM for quick tests, but RTX 4500 Ada's 24 GB and 39.6 TFLOPS excel for high-resolution batches.
RTX 4500 Ada's 39.6 TFLOPS FP32 performance accelerates simulations, with 432 GB/s bandwidth aiding data-heavy computations over GTX 1080's 8.9 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM: GTX 1080 or RTX 4500 Ada?▾
The RTX 4500 Ada offers 24 GB GDDR6 VRAM, more than double the GTX 1080's 8 to 11 GB GDDR5X. This allows larger models on the RTX 4500 Ada. Batch sizes increase accordingly in memory-bound tasks.
How do the compute performances compare?▾
RTX 4500 Ada delivers 39.6 TFLOPS in FP16 and FP32, 4.45 times higher than GTX 1080's 8.9 TFLOPS. Training and inference run much faster on the newer GPU. Real-world speedups align with this spec ratio.
What are the cloud rental prices?▾
GTX 1080 rents from $0.30 per hour, averaging $0.45 across two offers. RTX 4500 Ada starts at $0.34 per hour, averaging $0.51 across three offers. The difference is minimal for the performance gain.
Which has higher memory bandwidth?▾
RTX 4500 Ada provides 432 GB/s, 35 percent above GTX 1080's 320 GB/s. This benefits data transfer in AI pipelines. Fewer bottlenecks occur during high-throughput operations.
What are the power consumptions?▾
GTX 1080 has a 180W TDP, lower than RTX 4500 Ada's 210W. Efficiency per TFLOP favors the Ada GPU at 0.19W per TFLOP versus 0.02W on Pascal. Modern cooling handles the increase.
Are these GPUs suitable for AI training?▾
RTX 4500 Ada excels with 39.6 TFLOPS and 24 GB VRAM for serious training. GTX 1080 works for small-scale at 8.9 TFLOPS but limits model size. Choose based on workload scale.
Which is cheaper to rent, the GTX 1080 or the RTX 4500 Ada?▾
Cloud rental prices for both the GTX 1080 and RTX 4500 Ada 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 4500 Ada?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 4500 Ada has 24 GB of GDDR6 memory.
Can I find GTX 1080 and RTX 4500 Ada 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 4500 Ada?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 4500 Ada uses Ada Lovelace (2023). The RTX 4500 Ada delivers 4.4x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.