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
Peak FP32 performance sits close between the two: the GTX 1080 achieves 8.9 TFLOPS, while the RTX A2000 reaches 8 TFLOPS. This similarity suggests comparable throughput for FP32-dominant tasks like general scientific computing or basic model training. However, the Ampere architecture in the RTX A2000 includes advancements in tensor core efficiency not fully captured by raw FP16 metrics, which also hover near 8 to 8.9 TFLOPS: real-world machine learning benefits from these for mixed-precision workflows.
Memory bandwidth marks a key differentiator: the GTX 1080's 320 GB/s exceeds the RTX A2000's 288 GB/s, enabling larger batch sizes in training without memory bottlenecks. For inference, higher bandwidth sustains higher throughput on memory-bound models. VRAM ranges overlap at 8 to 11 GB for GTX 1080 versus 6 to 12 GB for RTX A2000: this supports similar model sizes, but GDDR6 in the A2000 offers lower latency access.
Power efficiency profoundly impacts cloud scaling: the RTX A2000's 70W TDP allows denser deployments versus the GTX 1080's 180W, reducing cooling costs in multi-GPU setups. These specs translate to the A2000 favoring prolonged low-intensity runs, while the 1080 suits bursty high-bandwidth needs.
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 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
The GTX 1080 excels in memory-intensive workloads: its 320 GB/s bandwidth outperforms the RTX A2000's 288 GB/s, supporting larger batch sizes in training large models. With 8 to 11 GB VRAM, it handles datasets that push the A2000's 6 GB minimum configurations. Choose it when raw throughput at 8.9 TFLOPS justifies the $0.30 per hour starting price over efficiency.
When to Choose the RTX A2000
The RTX A2000 dominates cost-sensitive deployments: it rents from $0.06 per hour, far below the GTX 1080's $0.30 minimum. Its 70W TDP enables efficient single or multi-GPU cloud instances without high power overhead. Select it for inference or fine-tuning where 8 TFLOPS performance suffices alongside Ampere's modern features.
Use Cases
GTX 1080's 320 GB/s bandwidth and 8 to 11 GB VRAM better handle large batch sizes for LLM training. RTX A2000's 288 GB/s may limit scale on memory-heavy models.
RTX A2000's $0.06 per hour pricing and 70W TDP optimize continuous inference runs. Its 8 TFLOPS matches GTX 1080's 8.9 TFLOPS closely for serving.
Both offer similar 8 to 8.9 TFLOPS and 6 to 12 GB VRAM ranges suitable for fine-tuning. Choice depends on budget versus bandwidth needs.
RTX A2000 leverages Ampere architecture for generation tasks at lower $0.23 average hourly cost. Efficiency suits iterative image workflows.
GTX 1080's higher 320 GB/s bandwidth accelerates memory-bound simulations. 8.9 TFLOPS FP32 provides edge over A2000's 8 TFLOPS.
Frequently Asked Questions
Which GPU has higher memory bandwidth?▾
The GTX 1080 provides 320 GB/s bandwidth from GDDR5X memory. This exceeds the RTX A2000's 288 GB/s GDDR6 rate. Higher bandwidth benefits batch processing.
What are the cloud rental prices?▾
GTX 1080 starts at $0.30 per hour, averaging $0.45 across two offers. RTX A2000 begins at $0.06 per hour, averaging $0.23 across three. A2000 offers better value.
How do FP32 performances compare?▾
GTX 1080 delivers 8.9 TFLOPS FP32. RTX A2000 achieves 8 TFLOPS. Difference is minimal for most compute tasks.
Which has lower power consumption?▾
RTX A2000 uses 70W TDP. GTX 1080 requires 180W. Lower TDP reduces cloud operational costs.
What VRAM options exist?▾
GTX 1080 offers 8 to 11 GB GDDR5X. RTX A2000 provides 6 to 12 GB GDDR6. Ranges support similar model sizes.
Which architecture is newer?▾
RTX A2000 uses 2021 Ampere architecture. GTX 1080 relies on 2016 Pascal. Newer design brings efficiency gains.
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.