Specifications Compared
| Spec | GTX-1080 | RTX-5880-ADA |
|---|---|---|
| TDP | 180W | 285W |
| VRAM | 8-11 GB | 48 GB |
| CUDA Cores | 2,560 | 14,080 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ada Lovelace |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 69.7 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 69.7 TFLOPS |
| Memory Bandwidth | 320 GB/s | 960 GB/s |
Performance Analysis
RTX 5880 Ada's 69.7 TFLOPS FP16 and FP32 performance vastly outpaces the GTX 1080 Ti's 11.3 TFLOPS: this enables up to six times faster model training and inference for deep learning tasks reliant on half-precision computations. Large language models and neural networks benefit directly, as the higher throughput reduces epoch times significantly in FP16-dominated pipelines. Memory specifications amplify this advantage: 48 GB VRAM versus 11 GB supports substantially larger batch sizes without out-of-memory errors, ideal for training billion-parameter models. The 960 GB/s bandwidth of RTX 5880 Ada compared to 484 GB/s minimizes data transfer bottlenecks, allowing sustained high utilization during memory-intensive operations like gradient accumulation. GTX 1080 Ti suffices for smaller-scale inference but struggles with modern dataset sizes due to these constraints.
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 1080 Ti
Budget-limited projects with modest memory needs favor the GTX 1080 Ti. Its 11 GB VRAM accommodates small to medium models, and cloud pricing from $0.60 per hour makes it viable for prototyping or low-volume inference. Legacy applications optimized for Pascal architecture run efficiently without requiring driver updates common in newer setups.
When to Choose the RTX 5880 Ada
High-end AI training and large-scale inference demand the RTX 5880 Ada. The 48 GB VRAM handles massive models that exceed GTX 1080 Ti limits, while 69.7 TFLOPS delivers rapid processing for production workloads. Professional environments prioritize its Ada Lovelace features despite higher expected costs and current lack of live cloud offers.
Use Cases
RTX 5880 Ada's 48 GB VRAM fits large language models exceeding 11 GB limits of GTX 1080 Ti. Its 69.7 TFLOPS FP16 performance accelerates training epochs by over six times.
High throughput from 69.7 TFLOPS FP16 in RTX 5880 Ada supports real-time serving of large models. GTX 1080 Ti's 11.3 TFLOPS limits latency-sensitive deployments.
48 GB VRAM and 960 GB/s bandwidth in RTX 5880 Ada manage bigger batches during fine-tuning. GTX 1080 Ti restricts scale with 11 GB and 484 GB/s.
GTX 1080 Ti handles basic image generation within 11 GB VRAM at $0.60 per hour. RTX 5880 Ada excels for high-resolution or batched workflows needing 48 GB.
RTX 5880 Ada's 69.7 TFLOPS FP32 outperforms GTX 1080 Ti's 11.3 TFLOPS for simulations. 48 GB VRAM supports complex datasets.
Frequently Asked Questions
What is the performance difference between GTX 1080 Ti and RTX 5880 Ada?▾
RTX 5880 Ada delivers 69.7 TFLOPS in FP16 and FP32, compared to 11.3 TFLOPS on GTX 1080 Ti. This results in approximately six times higher compute for AI tasks. Memory bandwidth stands at 960 GB/s for RTX 5880 Ada versus 484 GB/s.
How much VRAM do these GPUs have?▾
GTX 1080 Ti provides 11 GB GDDR5X VRAM. RTX 5880 Ada offers 48 GB GDDR6 VRAM. The larger capacity enables bigger models on the newer GPU.
What are the cloud pricing options?▾
NVIDIA GeForce GTX 1080 Ti starts at $0.60 per hour, averaging $0.60 per hour across one live offer. RTX 5880 Ada currently has no live cloud offers available.
What are the TDP ratings?▾
GTX 1080 Ti has a 250 W TDP. RTX 5880 Ada requires 285 W. Both use PCIe form factors with no specified interconnect.
Which architecture do they use?▾
GTX 1080 Ti employs Pascal architecture from 2017. RTX 5880 Ada uses Ada Lovelace from 2024. This generational gap drives the spec disparities.
Can GTX 1080 Ti handle modern AI workloads?▾
GTX 1080 Ti manages small models within 11 GB VRAM at 11.3 TFLOPS. Larger workloads exceed its capacity, favoring RTX 5880 Ada's 48 GB and 69.7 TFLOPS.
Which is cheaper to rent, the GTX 1080 or the RTX 5880 Ada?▾
Cloud rental prices for both the GTX 1080 and RTX 5880 Ada 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 5880 Ada?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 5880 Ada has 48 GB of GDDR6 memory.
Can I find GTX 1080 and RTX 5880 Ada 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 5880 Ada?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 5880 Ada uses Ada Lovelace (2024). The RTX 5880 Ada delivers 7.8x the FP16 throughput and 3.0x the memory bandwidth of the GTX 1080.
