Specifications Compared
| Spec | GTX-1080 | RTX-5080 |
|---|---|---|
| TDP | 180W | 360W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,560 | 10,752 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| FP16 Performance | 8.9 TFLOPS | 56.3 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 56.3 TFLOPS |
| Memory Bandwidth | 320 GB/s | 960 GB/s |
Performance Analysis
The RTX 5080's FP16 and FP32 performance surges to 56.3 TFLOPS from the GTX 1080's 8.9 TFLOPS, enabling six times faster matrix operations central to model training and inference. This delta accelerates gradient computations in training by processing more samples per second and reduces latency in inference for real-time applications. Equal FP16 and FP32 rates on both GPUs support mixed-precision workflows without penalties.
Memory bandwidth triples to 960 GB/s on the RTX 5080 versus 320 GB/s on the GTX 1080, sustaining larger batch sizes in memory-bound tasks like transformer training. The RTX 5080's 16 GB GDDR7 VRAM exceeds the GTX 1080's 8 to 11 GB GDDR5X, accommodating bigger models or datasets without swapping to host RAM, which cuts throughput. Higher TDP of 360W on the RTX 5080 versus 180W reflects this capability, demanding robust cooling.
In practice, these specs position the RTX 5080 for modern large language models, where the GTX 1080 bottlenecks on bandwidth and capacity during batch sizes over 16.
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 |
RTX 5080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 RunPod | NVIDIA GeForce RTX 5080 16GB VRAM | 16GB | 0 vCPU 0GB RAM | 🌍global | $0.59/GPU/hr |
When to Choose the GTX 1080
The GTX 1080 fits low-power environments capped at 180W TDP, such as edge servers or laptops where 360W exceeds limits. Its 8.9 TFLOPS suffices for lightweight inference on models under 8 GB, and pricing from $0.30 per hour across two offers keeps costs minimal for non-intensive tasks. Legacy Pascal-optimized software runs natively without recompilation.
When to Choose the RTX 5080
The RTX 5080 excels in demanding AI pipelines requiring 56.3 TFLOPS for rapid training iterations or high-concurrency inference. Its 960 GB/s bandwidth and 16 GB VRAM handle batch sizes up to 128 in large models, far beyond the GTX 1080's 320 GB/s and 11 GB maximum. At $0.25 per hour average $0.38, it delivers superior performance per dollar across four offers.
Use Cases
The RTX 5080's 56.3 TFLOPS and 16 GB VRAM enable training of large models with batch sizes up to 64, while the GTX 1080's 8.9 TFLOPS and 11 GB maximum cause frequent out-of-memory errors.
RTX 5080 sustains high throughput at 56.3 TFLOPS with 960 GB/s bandwidth for concurrent queries, outperforming GTX 1080's 8.9 TFLOPS and 320 GB/s in production serving.
Blackwell's 56.3 TFLOPS accelerates gradient updates sixfold over Pascal's 8.9 TFLOPS, and 16 GB VRAM fits parameter-efficient methods on mid-sized LLMs.
RTX 5080 generates images 6x faster at 56.3 TFLOPS with larger batches via 960 GB/s bandwidth, versus GTX 1080 limitations at 8.9 TFLOPS and 320 GB/s.
The 56.3 TFLOPS FP32 on RTX 5080 speeds simulations like molecular dynamics, supported by 16 GB VRAM for complex datasets exceeding GTX 1080's 11 GB.
Frequently Asked Questions
Which GPU has higher compute performance: GTX 1080 or RTX 5080?▾
The RTX 5080 provides 56.3 TFLOPS in FP16 and FP32, compared to the GTX 1080's 8.9 TFLOPS in both. This sixfold advantage accelerates AI workloads significantly. Bandwidth also triples to 960 GB/s from 320 GB/s.
How much VRAM do these GPUs offer?▾
RTX 5080 features 16 GB GDDR7 VRAM, while GTX 1080 offers 8 to 11 GB GDDR5X. The extra capacity on RTX 5080 supports larger models. GDDR7 also enables 960 GB/s bandwidth versus 320 GB/s.
What are the cloud rental prices for GTX 1080 and RTX 5080?▾
GTX 1080 rents from $0.30 per hour averaging $0.45 per hour across two offers. RTX 5080 starts at $0.25 per hour averaging $0.38 per hour across four offers. The newer GPU provides better value.
Is the RTX 5080 more power-hungry than GTX 1080?▾
RTX 5080 has a 360W TDP, double the GTX 1080's 180W. This supports its 56.3 TFLOPS performance. Users must ensure adequate power and cooling.
Can I use these GPUs interchangeably in PCIe slots?▾
Both GTX 1080 and RTX 5080 use PCIe form factors, allowing swaps in compatible systems. RTX 5080 demands more power at 360W TDP versus 180W. Driver updates are required for Blackwell architecture.
Which is better for machine learning training?▾
RTX 5080 dominates with 56.3 TFLOPS, 16 GB VRAM, and 960 GB/s bandwidth for efficient training. GTX 1080's 8.9 TFLOPS and 320 GB/s limit it to small models. Pricing favors RTX 5080 at average $0.38 per hour.
Which is cheaper to rent, the GTX 1080 or the RTX 5080?▾
Cloud rental prices for both the GTX 1080 and RTX 5080 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 5080?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 5080 has 16 GB of GDDR7 memory.
Can I find GTX 1080 and RTX 5080 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 5080?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 5080 uses Blackwell (2025). The RTX 5080 delivers 6.3x the FP16 throughput and 3.0x the memory bandwidth of the GTX 1080.