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
The GTX 1080 Ti delivers superior raw compute power over the GTX 1070: 11.3 TFLOPS FP32 compared to 6.5 TFLOPS, a 74 percent increase. This advantage accelerates FP32-dominated tasks such as traditional ML training or scientific simulations. FP16 performance follows the same pattern at 11.3 TFLOPS versus 6.5 TFLOPS, benefiting half-precision inference where supported, though Pascal architecture limits tensor core usage.
Memory bandwidth stands out as a key differentiator: 484 GB/s on the 1080 Ti versus 256 GB/s on the 1070. Higher bandwidth enables larger batch sizes in training and inference, minimizing data transfer bottlenecks and boosting effective throughput for memory-intensive models. The 1080 Ti's 11 GB VRAM handles bigger datasets than the 1070's 8 GB, reducing out-of-memory errors in deep learning pipelines.
Efficiency metrics reveal parity: the 1070 achieves 0.043 TFLOPS per watt at 6.5 TFLOPS and 150W, while the 1080 Ti reaches 0.045 TFLOPS per watt at 11.3 TFLOPS and 250W. Higher TDP on the 1080 Ti demands better cooling but unlocks greater absolute performance.
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 |
When to Choose the GTX 1070
The GTX 1070 fits power-constrained environments perfectly. Its 150W TDP consumes less energy than the 1080 Ti's 250W, ideal for edge deployments or multi-GPU setups with limited PSU capacity. Use it for lightweight inference on models under 8 GB VRAM or basic fine-tuning where 6.5 TFLOPS suffices and no live cloud offers make local hardware preferable.
When to Choose the GTX 1080 Ti
The GTX 1080 Ti dominates demanding workloads. With 11.3 TFLOPS FP32/FP16 and 484 GB/s bandwidth, it processes complex training jobs or large-batch inference far quicker than the 1070's 6.5 TFLOPS and 256 GB/s. Cloud availability at $0.60 per hour across one offer suits scalable compute needs exceeding 8 GB VRAM.
Use Cases
GTX 1080 Ti's 11.3 TFLOPS FP32 and 484 GB/s bandwidth support larger batches and faster convergence than 1070's 6.5 TFLOPS and 256 GB/s. 11 GB VRAM accommodates bigger models.
Higher 11.3 TFLOPS FP16 on 1080 Ti speeds up inference requests versus 1070's 6.5 TFLOPS. Bandwidth edge reduces latency for high-throughput serving.
Both handle small models within 8 GB VRAM, but 1080 Ti's 11.3 TFLOPS accelerates iterations. Choose 1070 for 150W power limits.
1080 Ti's 11 GB VRAM and 484 GB/s bandwidth generate higher-resolution images quicker than 1070's 8 GB and 256 GB/s.
11.3 TFLOPS FP32 on 1080 Ti outperforms 1070's 6.5 TFLOPS in simulations. Greater bandwidth aids data-heavy computations.
Frequently Asked Questions
What is the performance difference between GTX 1070 and GTX 1080 Ti?▾
GTX 1080 Ti offers 11.3 TFLOPS FP32 compared to 6.5 TFLOPS on GTX 1070, a 74 percent gain. This impacts training speed and simulation throughput. FP16 matches this ratio at 11.3 versus 6.5 TFLOPS.
How much VRAM do these GPUs have?▾
GTX 1070 provides 8 GB GDDR5 VRAM. GTX 1080 Ti doubles down with 11 GB GDDR5X. Extra capacity on 1080 Ti supports larger ML models without swapping.
What are the memory bandwidth specs?▾
GTX 1070 delivers 256 GB/s bandwidth. GTX 1080 Ti reaches 484 GB/s, nearly doubling data throughput. This boosts batch sizes in deep learning.
What is the power consumption?▾
GTX 1070 has 150W TDP. GTX 1080 Ti requires 250W. Lower draw makes 1070 suitable for efficient setups.
Is there cloud pricing for these GPUs?▾
GTX 1070 has no live offers currently. GTX 1080 Ti starts at $0.60 per hour average across one offer. This favors 1080 Ti for on-demand use.
Which is better for ML training?▾
GTX 1080 Ti excels with 11.3 TFLOPS and 11 GB VRAM over 1070's 6.5 TFLOPS and 8 GB. Bandwidth of 484 GB/s handles intensive workloads better.
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.