Specifications Compared
| Spec | GTX-1080 | RTX-2060 |
|---|---|---|
| TDP | 180W | 160W |
| VRAM | 8-11 GB | 6-12 GB |
| CUDA Cores | 2,560 | 1,920 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 6.5 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 6.5 TFLOPS |
| Memory Bandwidth | 320 GB/s | 336 GB/s |
Performance Analysis
Compute performance favors the GTX 1080: its 8.9 TFLOPS in FP16 and FP32 exceeds the RTX 2060 SUPER's 6.5 TFLOPS by 37 percent. This gap accelerates model training and inference in FP32-heavy scientific computing or legacy ML frameworks without tensor core optimization. FP16 equivalence to FP32 on both indicates base shader performance dominates, limiting Turing's tensor advantages in these specs. Memory bandwidth tips to the RTX 2060 SUPER at 336 GB/s over 320 GB/s: this 5 percent edge enables larger batch sizes in memory-bound deep learning, reducing data transfer bottlenecks during training epochs. Lower TDP of 160W on the RTX 2060 SUPER versus 180W improves efficiency in multi-GPU cloud setups, cutting power draw by 11 percent per instance. VRAM ranges overlap broadly at 6 to 12 GB, suiting mid-scale models equally.
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 |
When to Choose the GTX 1080
Select the GTX 1080 for compute-intensive tasks like LLM training where 8.9 TFLOPS outperforms 6.5 TFLOPS. Its availability at $0.30 per hour provides immediate access absent for the RTX 2060 SUPER. Higher base performance suits FP32-dominant workloads in scientific computing without relying on newer architecture features.
When to Choose the RTX 2060 SUPER
Choose the RTX 2060 SUPER for memory-sensitive inference with batch sizes leveraging 336 GB/s bandwidth over 320 GB/s. Its 160W TDP offers better efficiency than 180W, ideal for prolonged cloud sessions. Turing architecture enables ray tracing in Stable Diffusion, unavailable on Pascal.
Use Cases
GTX 1080's 8.9 TFLOPS in FP32 surpasses RTX 2060 SUPER's 6.5 TFLOPS for faster training epochs. Availability at $0.30 per hour supports immediate scaling.
Similar FP16 at 8.9 TFLOPS versus 6.5 TFLOPS works for mid-scale models. RTX 2060 SUPER's 336 GB/s bandwidth aids larger batches if offers appear.
Higher 8.9 TFLOPS accelerates FP32 fine-tuning over 6.5 TFLOPS. Cloud pricing at $0.30 per hour makes it cost-effective.
Turing architecture supports ray tracing absent in Pascal. 336 GB/s bandwidth handles image generation batches better than 320 GB/s.
8.9 TFLOPS FP32 performance outperforms 6.5 TFLOPS for simulations. 8 to 11 GB VRAM fits datasets reliably.
Frequently Asked Questions
Which GPU has higher compute performance?▾
The GTX 1080 delivers 8.9 TFLOPS in FP16 and FP32, exceeding the RTX 2060 SUPER's 6.5 TFLOPS. This makes it faster for training tasks. Bandwidth is close at 320 GB/s versus 336 GB/s.
What are the VRAM differences?▾
GTX 1080 offers 8 to 11 GB GDDR5X while RTX 2060 SUPER provides 6 to 12 GB GDDR6. Ranges overlap for most ML models. Higher end suits larger datasets.
Which is more power efficient?▾
RTX 2060 SUPER has lower TDP at 160W compared to GTX 1080's 180W. This reduces costs in long-running cloud jobs. Efficiency gap is 11 percent.
Is cloud pricing available for both?▾
GTX 1080 rents from $0.30 per hour across live offers. RTX 2060 SUPER has no live offers currently. Availability favors GTX 1080.
Which architecture is newer?▾
RTX 2060 SUPER uses Turing from 2019 versus Pascal 2016 on GTX 1080. Turing adds ray tracing support. Compute specs show GTX 1080 at 8.9 TFLOPS higher.
How does memory bandwidth compare?▾
RTX 2060 SUPER achieves 336 GB/s, slightly above GTX 1080's 320 GB/s. This benefits memory-bound workloads. Difference is 5 percent.
Which is cheaper to rent, the GTX 1080 or the RTX 2060?▾
Cloud rental prices for both the GTX 1080 and RTX 2060 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 2060?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 2060 has 6 to 12 GB of GDDR6 memory.
Can I find GTX 1080 and RTX 2060 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 2060?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 2060 uses Turing (2019). The GTX 1080 delivers 1.4x the FP16 throughput and 1.1x the memory bandwidth of the RTX 2060.