Specifications Compared
| Spec | GTX-1070 | GTX-1080 |
|---|---|---|
| TDP | 150W | 180W |
| VRAM | 8 GB | 8-11 GB |
| CUDA Cores | 1,920 | 2,560 |
| Memory Type | GDDR5 | GDDR5X |
| Architecture | Pascal | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 6.5 TFLOPS | 8.9 TFLOPS |
| FP32 Performance | 6.5 TFLOPS | 8.9 TFLOPS |
| Memory Bandwidth | 256 GB/s | 320 GB/s |
Performance Analysis
Compute capabilities set the GTX 1070 Ti at 8.2 TFLOPS for FP16 and FP32 operations, trailing the GTX 1080's 8.9 TFLOPS by about 9 percent. In training workloads, this delta shortens epochs on the 1080 for models reliant on single-precision math. Inference sees similar gains, with the 1080 processing more samples per second in FP32-bound scenarios.
Memory bandwidth profoundly influences real-world use: the 1070 Ti's 256 GB/s constrains batch sizes in memory-intensive tasks, risking out-of-memory errors sooner than the 1080's 320 GB/s. Larger batches become viable on the 1080 during training, accelerating convergence. For inference, elevated bandwidth sustains higher concurrency without latency spikes.
VRAM parity at 8 GB suits modest models on both, yet the 1080's potential 11 GB variant handles oversized datasets better. Shared 180W TDP ensures comparable power efficiency.
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 1070 Ti
The GTX 1070 Ti fits scenarios demanding 8.2 TFLOPS FP32 performance at potentially lower acquisition costs than the GTX 1080. Its 8 GB GDDR5X VRAM and 256 GB/s bandwidth suffice for lightweight inference or fine-tuning on datasets under 8 GB. Select it when cloud pricing undercuts the 1080's $0.30 per hour rate, prioritizing savings for non-bandwidth-critical tasks.
When to Choose the GTX 1080
Opt for the GTX 1080 in bandwidth-heavy applications: 320 GB/s supports batch sizes 25 percent larger than the 1070 Ti's 256 GB/s limit. The 8.9 TFLOPS FP16/FP32 rate delivers 9 percent faster training and inference. Live cloud offers start at $0.30 per hour, making it accessible for Stable Diffusion or scientific simulations.
Use Cases
GTX 1080's 8.9 TFLOPS FP32 and 320 GB/s bandwidth accelerate training with larger batches compared to GTX 1070 Ti's 8.2 TFLOPS and 256 GB/s.
Higher 320 GB/s bandwidth on GTX 1080 boosts concurrent request handling over GTX 1070 Ti's 256 GB/s during inference.
Both provide 8 GB VRAM and FP32 rates near 8-9 TFLOPS, adequate for fine-tuning compact LLMs without bandwidth bottlenecks.
GTX 1080's 8.9 TFLOPS and 320 GB/s bandwidth generate images faster than GTX 1070 Ti equivalents.
Compute simulations leverage GTX 1080's 9 percent FP32 edge at 8.9 TFLOPS over GTX 1070 Ti.
Frequently Asked Questions
What is the performance difference between GTX 1070 Ti and GTX 1080?▾
The GTX 1070 Ti achieves 8.2 TFLOPS in FP16 and FP32, while the GTX 1080 reaches 8.9 TFLOPS. This yields a 9 percent compute advantage for the 1080 in training and inference tasks. Memory bandwidth further separates them at 256 GB/s versus 320 GB/s.
Do GTX 1070 Ti and GTX 1080 have the same VRAM?▾
GTX 1070 Ti carries 8 GB GDDR5X VRAM. GTX 1080 matches at 8 GB GDDR5X standard, with variants up to 11 GB. Both suffice for models under 8 GB in ML workflows.
How do their memory bandwidths compare?▾
GTX 1070 Ti delivers 256 GB/s bandwidth. GTX 1080 provides 320 GB/s, a 25 percent increase ideal for larger batch sizes in training. This impacts memory-bound inference significantly.
What are the TDPs and cloud prices?▾
Both GPUs draw 180W TDP. GTX 1080 lists from $0.30 per hour average across one live offer. GTX 1070 Ti currently has no live cloud offers.
Are these GPUs good for machine learning?▾
Pascal architecture supports FP16 at full FP32 rates: 8.2 TFLOPS on GTX 1070 Ti and 8.9 TFLOPS on GTX 1080. They manage basic training and inference but lack tensor cores for modern efficiency. Use for legacy or budget ML tasks.
Is GTX 1070 Ti faster than GTX 1080?▾
No, GTX 1080 outperforms with 8.9 TFLOPS FP32 versus 8.2 TFLOPS and 320 GB/s bandwidth over 256 GB/s. The gap appears in compute and memory-intensive workloads. Both share 2016 Pascal roots and 180W TDP.
Which is cheaper to rent, the GTX 1070 or the GTX 1080?▾
Cloud rental prices for both the GTX 1070 and GTX 1080 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 1070 have compared to the GTX 1080?▾
The GTX 1070 has 8 GB of GDDR5 memory. The GTX 1080 has 8 to 11 GB of GDDR5X memory.
Can I find GTX 1070 and GTX 1080 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 1070 and the GTX 1080?▾
The GTX 1070 uses the Pascal architecture (2016) while the GTX 1080 uses Pascal (2016). The GTX 1080 delivers 1.4x the FP16 throughput and 1.3x the memory bandwidth of the GTX 1070.