Specifications Compared
| Spec | GTX-1080 | RTX-5090 |
|---|---|---|
| TDP | 180W | 575W |
| VRAM | 8-11 GB | 32 GB |
| CUDA Cores | 2,560 | 21,760 |
| Memory Type | GDDR5X | GDDR7 |
| Architecture | Pascal | Blackwell |
| Form Factors | PCIe | PCIe |
| Interconnect | PCIe 5.0 | |
| FP16 Performance | 8.9 TFLOPS | 419 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 105 TFLOPS |
| Memory Bandwidth | 320 GB/s | 1,792 GB/s |
Performance Analysis
The compute disparity centers on precision performance: the RTX 5090 delivers 419 TFLOPS in FP16, towering over the GTX 1080's 8.9 TFLOPS. This gap promises up to 47 times faster half-precision operations, accelerating neural network training where FP16 dominates. FP32 rates follow suit at 105 TFLOPS for the RTX 5090 versus 8.9 TFLOPS, enhancing single-precision simulations.
Memory specs amplify real-world impacts: 32 GB GDDR7 on the RTX 5090 versus 8 to 11 GB GDDR5X permits loading expansive models without swapping. The 1792 GB/s bandwidth versus 320 GB/s sustains larger batch sizes in inference, reducing latency in high-throughput deployments. Lower bandwidth on the GTX 1080 constrains data-heavy workflows.
FP8 capability at 838 TFLOPS equips the RTX 5090 for ultra-efficient quantized inference. The 575 W TDP reflects its power hunger compared to 180 W, yet cloud efficiency metrics favor density in modern racks. These traits position the RTX 5090 for scalable AI versus the GTX 1080's entry-level viability.
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 5090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.57/GPU/hr | Available | ||
 Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 384 vCPU 94GB RAM 642GB Storage | Czechia | $0.83/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 583GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 16 vCPU 30GB RAM 395GB Storage | South Korea | $0.87/GPU/hr | Available | ||
Vast.ai | NVIDIA GeForce RTX 5090 32GB VRAM | 32GB | 8 vCPU 30GB RAM 502GB Storage | South Korea | $0.87/GPU/hr | Available |
When to Choose the GTX 1080
The GTX 1080 fits budget-constrained or lightweight deployments. Its average cloud rate of $0.45 per hour undercuts the RTX 5090's $0.83 per hour average, while 8.9 TFLOPS FP32 handles basic rendering or small-model inference. The 180 W TDP integrates easily into low-power hosts without PCIe 5.0 needs.
Select it for Pascal-specific legacy code or casual tasks where 8 to 11 GB VRAM and 320 GB/s bandwidth suffice, avoiding overprovisioning.
When to Choose the RTX 5090
The RTX 5090 dominates high-performance AI and compute demands. 419 TFLOPS FP16 crushes the GTX 1080's 8.9 TFLOPS for rapid LLM training, and 32 GB VRAM accommodates massive models. Despite a 575 W TDP, its $0.25 per hour starting price delivers value at scale.
Opt for it in production inference or fine-tuning, where 1792 GB/s bandwidth enables large batches and FP8 at 838 TFLOPS boosts efficiency.
Use Cases
The RTX 5090's 419 TFLOPS FP16 yields 47 times the GTX 1080's 8.9 TFLOPS, enabling faster convergence on large models. Its 32 GB VRAM supports datasets infeasible on 11 GB maximum.
1792 GB/s bandwidth and 32 GB VRAM on the RTX 5090 handle high-volume batches, unlike the GTX 1080's 320 GB/s limit. FP8 at 838 TFLOPS accelerates quantized serving.
RTX 5090's 105 TFLOPS FP32 and 419 TFLOPS FP16 outperform the GTX 1080's 8.9 TFLOPS across precisions for efficient adapter tuning. Ample VRAM prevents out-of-memory errors.
The RTX 5090 processes diffusion models at 419 TFLOPS FP16 speed, far beyond 8.9 TFLOPS, with 32 GB VRAM for high-resolution generations. Bandwidth sustains iterative sampling.
RTX 5090's 105 TFLOPS FP32 delivers 12 times the GTX 1080's 8.9 TFLOPS for simulations. PCIe 5.0 and higher bandwidth optimize parallel workloads.
Frequently Asked Questions
What is the FP16 performance difference between GTX 1080 and RTX 5090?▾
The RTX 5090 achieves 419 TFLOPS FP16, compared to the GTX 1080's 8.9 TFLOPS. This 47-fold increase accelerates machine learning training significantly. FP8 on the RTX 5090 reaches 838 TFLOPS for further gains.
How much VRAM do these GPUs have?▾
GTX 1080 offers 8 to 11 GB GDDR5X VRAM. RTX 5090 provides 32 GB GDDR7. The larger capacity supports bigger AI models without fragmentation.
What are the cloud pricing details for GTX 1080 versus RTX 5090?▾
GTX 1080 rents from $0.30 per hour, averaging $0.45 per hour across two offers. RTX 5090 starts at $0.25 per hour, averaging $0.83 per hour across 11 offers. Minimum pricing favors RTX 5090 slightly.
Which GPU has higher memory bandwidth?▾
RTX 5090 delivers 1792 GB/s with GDDR7. GTX 1080 provides 320 GB/s via GDDR5X. This 5.6 times uplift enables larger batch sizes in training.
What are the TDP ratings?▾
GTX 1080 consumes 180 W. RTX 5090 requires 575 W. Higher TDP correlates with RTX 5090's compute density.
When were these architectures released?▾
Pascal powers GTX 1080 from 2016. Blackwell drives RTX 5090 in 2025. The gap reflects vast advancements in AI capabilities.
Which is cheaper to rent, the GTX 1080 or the RTX 5090?▾
Cloud rental prices for both the GTX 1080 and RTX 5090 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 5090?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX 5090 has 32 GB of GDDR7 memory.
Can I find GTX 1080 and RTX 5090 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 5090?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX 5090 uses Blackwell (2025). The RTX 5090 delivers 47.1x the FP16 throughput and 5.6x the memory bandwidth of the GTX 1080.