Specifications Compared
| Spec | GTX-1080 | RTX-A2000 |
|---|---|---|
| TDP | 180W | 70W |
| VRAM | 8-11 GB | 6-12 GB |
| CUDA Cores | 2,560 | 3,328 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 8 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 8 TFLOPS |
| Memory Bandwidth | 320 GB/s | 288 GB/s |
Performance Analysis
Raw compute metrics favor the GTX 1080 Ti: 8.9 TFLOPS FP16 and FP32 exceed the RTX A2000's 8 TFLOPS in both, benefiting traditional training and inference without specialized acceleration. Pascal's balanced FP16/FP32 ratio suits legacy codebases where tensor cores play no role.
Memory bandwidth stands out for the GTX 1080 Ti at 320 GB/s versus 288 GB/s on the RTX A2000: this difference supports larger batch sizes in training, reducing overhead in data-heavy workloads like image processing. Higher bandwidth minimizes bottlenecks during model loading.
Power efficiency defines the RTX A2000's edge with 70 W TDP against 180 W: it enables more GPUs per server, cutting operational costs in inference farms. Ampere's 2021 design yields better real-world ML throughput via optimized drivers, despite spec parity.
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 A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the GTX 1080 Ti
Select the GTX 1080 Ti for workloads demanding peak bandwidth of 320 GB/s and 8.9 TFLOPS FP32 compute. It outperforms in memory-intensive scientific simulations or older ML frameworks where Pascal's shader units deliver the full 8.9 TFLOPS without architecture mismatches.
Its 8-11 GB VRAM handles moderate datasets effectively, making it suitable for bursty, high-throughput tasks on tight budgets ignoring power.
When to Choose the RTX A2000
The RTX A2000 suits cost-optimized cloud runs starting at $0.06 per hour. Its 70 W TDP allows dense deployments, ideal for continuous inference or fine-tuning where efficiency trumps raw specs.
Ampere compatibility with modern tools leverages the 6-12 GB VRAM range for scalable AI pipelines at average $0.23 per hour pricing.
Use Cases
The RTX A2000's Ampere architecture and lower $0.06 per hour pricing support extended training sessions better than the GTX 1080 Ti's 180 W TDP. Its 288 GB/s bandwidth handles typical batches efficiently.
Low 70 W TDP on the RTX A2000 enables high-density serving at $0.23 per hour average. Newer design optimizes latency over the GTX 1080 Ti's higher power draw.
Similar FP16/FP32 at 8-8.9 TFLOPS fit fine-tuning needs. Choose RTX A2000 for cost savings or GTX 1080 Ti for 320 GB/s bandwidth in larger models.
GTX 1080 Ti's 320 GB/s bandwidth and 8-11 GB VRAM accelerate image generation batches. It outperforms the RTX A2000's 288 GB/s in bandwidth-bound diffusion tasks.
The GTX 1080 Ti delivers 8.9 TFLOPS FP32 for compute-heavy simulations. Higher bandwidth of 320 GB/s aids data movement over the RTX A2000's specs.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The GTX 1080 Ti achieves 8.9 TFLOPS in both FP16 and FP32, surpassing the RTX A2000's 8 TFLOPS. This gap matters in FP32-dominant scientific tasks. Real-world gains depend on software optimization.
How do memory bandwidths compare?▾
GTX 1080 Ti offers 320 GB/s, exceeding RTX A2000's 288 GB/s. Higher bandwidth supports bigger batches in training. It reduces stalls in VRAM-heavy workloads.
What are the cloud pricing differences?▾
GTX 1080 Ti averages $0.60 per hour across one offer. RTX A2000 starts at $0.06 per hour, averaging $0.23 across three offers. A2000 cuts costs by up to 75 percent.
Which has lower power consumption?▾
RTX A2000 draws 70 W TDP versus GTX 1080 Ti's 180 W. Lower power suits multi-GPU setups. It lowers cooling needs in cloud environments.
What VRAM options are available?▾
GTX 1080 Ti provides 8-11 GB GDDR5X. RTX A2000 offers 6-12 GB GDDR6. Both handle mid-sized models, with A2000 reaching higher maximum.
Which architecture is newer?▾
RTX A2000 uses Ampere from 2021, while GTX 1080 Ti relies on Pascal from 2016. Ampere supports advanced ML features. Pascal excels in compatible legacy apps.
Which is cheaper to rent, the GTX 1080 or the RTX A2000?▾
Cloud rental prices for both the GTX 1080 and RTX A2000 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 A2000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find GTX 1080 and RTX A2000 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 A2000?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX A2000 uses Ampere (2021). The GTX 1080 delivers 1.1x the FP16 throughput and 1.1x the memory bandwidth of the RTX A2000.

