Specifications Compared
| Spec | GTX-1080 | RTX-A5000 |
|---|---|---|
| TDP | 180W | 230W |
| VRAM | 8-11 GB | 24 GB |
| CUDA Cores | 2,560 | 8,192 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 27.8 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 27.8 TFLOPS |
| Memory Bandwidth | 320 GB/s | 768 GB/s |
Performance Analysis
Compute performance favors the RTX A5000 decisively: 27.8 TFLOPS in FP16 and FP32 dwarfs the GTX 1080 Ti's 11.3 TFLOPS. This gap accelerates machine learning training and inference, cutting times by over 50 percent in FP32 workloads like scientific simulations. The 1:1 FP16/FP32 ratio on both suits general compute, but Ampere's tensor cores enhance ML-specific operations further.
Memory specs amplify advantages. The A5000's 24 GB VRAM versus 11 GB enables larger models or batch sizes in LLM fine-tuning without out-of-memory errors. Its 768 GB/s bandwidth outpaces 484 GB/s, reducing bottlenecks for high-batch training and allowing 50 percent larger batches before saturation.
Power draw is close: 230W TDP for A5000 versus 250W for 1080 Ti, but PCIe form factor limits both to single-GPU setups without NVLink on the A5000.
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 A5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | 4×NVIDIA RTX A5000 24GB VRAM | 24GB | 64 vCPU 224GB RAM 2256GB Storage | Romania | $0.23/GPU/hr $0.92/hr total (4×) | Available | ||
Vast.ai | NVIDIA RTX A5000 24GB VRAM | 24GB | 32 vCPU 101GB RAM 101GB Storage | Iceland | $0.24/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A5000 24GB VRAM | 24GB | 9 vCPU 25GB RAM | 🌍global | $0.27/GPU/hr | |||
 Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.41/GPU/hr $3.28/hr total (8×) | |||
Cirrascale | 8×NVIDIA RTX A5000 24GB VRAM | 24GB | 40 vCPU 256GB RAM 2610GB Storage | United States | $0.46/GPU/hr $3.68/hr total (8×) |
When to Choose the GTX 1080 Ti
The GTX 1080 Ti fits legacy Pascal-optimized software or light workloads. Its 11.3 TFLOPS handles basic inference on models under 11 GB VRAM, such as older CNNs. At $0.60 per hour on the sole offer, it suits ultra-budget bursts where modern GPUs exceed needs.
Low availability across 1 offer makes it viable only for spot instances or non-critical tasks avoiding Ampere's ecosystem.
When to Choose the RTX A5000
The RTX A5000 excels in demanding AI pipelines. Its 24 GB VRAM supports large LLMs for training or inference, while 27.8 TFLOPS speeds iterations versus 11.3 TFLOPS. NVLink interconnect enables multi-GPU scaling absent on the 1080 Ti.
Pricing from $0.03 per hour average $0.43 across 33 offers ensures reliability and cost savings for production workloads.
Use Cases
RTX A5000's 24 GB VRAM fits large models, unlike 11 GB on GTX 1080 Ti. Its 27.8 TFLOPS versus 11.3 TFLOPS halves training times.
24 GB VRAM and 768 GB/s bandwidth handle high-concurrency batches better than 11 GB and 484 GB/s. 27.8 TFLOPS boosts throughput significantly.
Ampere's higher compute and doubled VRAM accelerate fine-tuning of mid-size LLMs. NVLink supports multi-GPU setups unavailable on Pascal.
GTX 1080 Ti's 11 GB VRAM suffices for standard resolutions at 11.3 TFLOPS. RTX A5000 enables higher-res or batch gen with 24 GB.
27.8 TFLOPS FP32 outperforms 11.3 TFLOPS for simulations. 768 GB/s bandwidth processes larger datasets efficiently.
Frequently Asked Questions
What is the VRAM difference between GTX 1080 Ti and RTX A5000?▾
RTX A5000 has 24 GB GDDR6 VRAM, more than double the GTX 1080 Ti's 11 GB GDDR5X. This allows larger models on A5000. Bandwidth reaches 768 GB/s on A5000 versus 484 GB/s.
Which has better performance, GTX 1080 Ti or RTX A5000?▾
RTX A5000 delivers 27.8 TFLOPS in FP16 and FP32, 2.5 times the GTX 1080 Ti's 11.3 TFLOPS. It suits modern ML better. Pascal lags in tensor performance.
What are the cloud prices for these GPUs?▾
GTX 1080 Ti averages $0.60 per hour across 1 offer. RTX A5000 starts at $0.03 per hour, averaging $0.43 across 33 offers. A5000 offers more choice.
Does RTX A5000 support NVLink?▾
RTX A5000 includes NVLink for multi-GPU. GTX 1080 Ti lacks interconnect beyond PCIe. This aids scaling on A5000.
What is the TDP of GTX 1080 Ti versus RTX A5000?▾
GTX 1080 Ti draws 250W TDP. RTX A5000 uses 230W. Both fit PCIe slots similarly.
Is GTX 1080 Ti good for AI training?▾
GTX 1080 Ti's 11.3 TFLOPS works for small models under 11 GB VRAM. RTX A5000's 27.8 TFLOPS and 24 GB excel for serious training.
Which is cheaper to rent, the GTX 1080 or the RTX A5000?▾
Cloud rental prices for both the GTX 1080 and RTX A5000 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 A5000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX A5000 has 24 GB of GDDR6 memory.
Can I find GTX 1080 and RTX A5000 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 A5000?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX A5000 uses Ampere (2021). The RTX A5000 delivers 3.1x the FP16 throughput and 2.4x the memory bandwidth of the GTX 1080.