Rent NVIDIA GeForce GTX 1080 Cloud Instances
📊 Pricing at a Glance
NVIDIA GeForce GTX 1080 rental pricing ranges from $0.30/GPU/hr to $0.60/GPU/hr across 2 instances from 1 providers (updated June 2026).
Looking for a specific provider? See LeaderGPU NVIDIA GeForce GTX 1080.
Available Offers
Compare the top 5 cheapest offers from 1 providers.
| 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 |
QuantaCloud
Need GPUs at scale?
Building out an inference fleet or training cluster? QuantaCloud brokers reserved capacity across multiple data center partners. 16+ GPUs, flexible terms, custom quote in 24 hours.
Technical Specifications
Strengths & Limitations
- Good price-to-performance ratio for older games and applications.
- Relatively low hourly cost ($0.05/hr) compared to newer GPUs.
- Suitable for users with less demanding graphical needs.
- Lacks Tensor Cores, limiting its deep learning capabilities.
- GDDR5X memory is slower than newer memory technologies like GDDR6 or HBM.
- Lower performance compared to newer generation GPUs in modern games and applications.
- Higher power consumption compared to newer, more efficient GPUs.
Top Use Cases
Suitable for playing older games at high settings or newer games at medium settings. Provides a playable experience for users who are not targeting ultra-high resolutions or refresh rates.
Can handle basic video editing, photo editing, and 3D modeling tasks. May struggle with more complex projects or higher resolutions.
Suitable for general-purpose computing tasks that benefit from GPU acceleration, such as scientific simulations or data analysis (though performance will be limited compared to newer cards).
Real-World Benchmark
Market Analysis
The NVIDIA GeForce GTX 1080 is positioned as an entry-level cloud GPU solution. Its primary advantage is its low hourly cost ($0.05/hr), making it attractive for users with budget constraints or less demanding workloads. However, users should be aware of its limitations compared to newer GPUs, particularly in deep learning and modern gaming. For users needing more performance, options like the RTX 3070 ($0.03/hr) or RTX 3080 ($0.05/hr) may offer better value depending on the specific workload.
Frequently Asked Questions
Is the GTX 1080 suitable for deep learning?â–¾
While it can be used for basic deep learning tasks, the lack of Tensor Cores significantly limits its performance compared to GPUs with Tensor Cores, such as the RTX series or Tesla series.
What is the power consumption of the GTX 1080?â–¾
The GTX 1080 has a typical power consumption of around 180W.
Can the GTX 1080 run modern games?â–¾
Yes, but performance may be limited in newer, more demanding titles, especially at higher resolutions or with ray tracing enabled. Expect to adjust settings to achieve playable framerates.
Alternative GPUs
Journalists, bloggers, and researchers: You're welcome to cite our data in your articles with attribution. Our pricing database is updated in real-time from 1+ cloud providers.