Specifications Compared
| Spec | GTX-1080 | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 180W | 230W |
| VRAM | 8-11 GB | 16 GB |
| CUDA Cores | 2,560 | 3,072 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 11.2 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 11.2 TFLOPS |
| Memory Bandwidth | 320 GB/s | 448 GB/s |
Performance Analysis
The Quadro RTX 5000 outperforms the GTX 1080 by 25 percent in FP16 and FP32 performance with 11.2 TFLOPS versus 8.9 TFLOPS, accelerating matrix multiplications central to deep learning. This delta translates to faster training epochs and inference latency reductions in neural networks, particularly where half-precision FP16 optimizes throughput without precision loss.
Memory differences prove critical: 16 GB GDDR6 on the Quadro RTX 5000 versus 8 to 11 GB GDDR5X on the GTX 1080 enables larger models or batch sizes before out-of-memory errors occur. The 448 GB/s bandwidth compared to 320 GB/s minimizes data transfer bottlenecks, supporting bigger batches in training and higher concurrency in inference scenarios.
Power draw reflects this: 230W TDP for the Quadro RTX 5000 exceeds the GTX 1080's 180W, implying higher operational costs in dense cloud setups, though NVLink interconnect aids multi-GPU scaling absent on the GTX 1080.
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 |
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the GTX 1080
The GTX 1080 suits budget-constrained deployments with light workloads. Its pricing from $0.30 per hour average $0.45 per hour undercuts the Quadro RTX 5000's $0.82 per hour, while 8.9 TFLOPS FP32 suffices for small-scale inference or prototyping. Lower 180W TDP fits power-limited instances.
Choose it for legacy Pascal-compatible software or gaming-derived tasks migrated to compute.
When to Choose the Quadro RTX 5000
The Quadro RTX 5000 excels in professional applications demanding 16 GB VRAM and 448 GB/s bandwidth. NVLink interconnect enables efficient multi-GPU configurations for large-scale training, surpassing the GTX 1080's capabilities.
Opt for it when 11.2 TFLOPS FP16 performance and Turing optimizations reduce iteration times in complex visualizations or simulations.
Use Cases
The Quadro RTX 5000's 16 GB VRAM and 11.2 TFLOPS FP16 handle larger language models without swapping. Its 448 GB/s bandwidth supports high batch sizes critical for efficient training.
11.2 TFLOPS FP16 on the Quadro RTX 5000 delivers lower latency for real-time inference. NVLink aids multi-GPU serving absent on the GTX 1080.
GTX 1080's 8 to 11 GB VRAM suffices for smaller fine-tuning datasets at 8.9 TFLOPS. Quadro RTX 5000's 16 GB excels for parameter-heavy models.
16 GB VRAM on the Quadro RTX 5000 accommodates high-resolution generations. 448 GB/s bandwidth prevents bottlenecks in diffusion steps.
GTX 1080's lower $0.30 per hour pricing and 180W TDP fit cost-sensitive simulations. 8.9 TFLOPS FP32 meets many numerical workloads.
Frequently Asked Questions
Which GPU has more VRAM?▾
The Quadro RTX 5000 provides 16 GB GDDR6 VRAM. The GTX 1080 offers 8 to 11 GB GDDR5X. This difference impacts model size capacity.
What are the compute performance differences?▾
Quadro RTX 5000 achieves 11.2 TFLOPS in FP16 and FP32. GTX 1080 delivers 8.9 TFLOPS in both. The 25 percent edge favors Turing for ML tasks.
How do prices compare in the cloud?▾
GTX 1080 starts at $0.30 per hour average $0.45 per hour across two offers. Quadro RTX 5000 is from $0.82 per hour average $0.82 per hour across two offers. Budget users prefer GTX 1080.
What is the memory bandwidth gap?▾
Quadro RTX 5000 has 448 GB/s bandwidth. GTX 1080 provides 320 GB/s. Higher bandwidth reduces bottlenecks in data-intensive workloads.
Which has lower power consumption?▾
GTX 1080 uses 180W TDP. Quadro RTX 5000 requires 230W. Lower TDP benefits power-constrained environments.
Do they support multi-GPU interconnects?▾
Quadro RTX 5000 includes NVLink for scaling. GTX 1080 lacks specified interconnect. NVLink enhances professional multi-GPU setups.
Which is cheaper to rent, the GTX 1080 or the Quadro RTX 5000?▾
Cloud rental prices for both the GTX 1080 and Quadro RTX 5000 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 Quadro RTX 5000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find GTX 1080 and Quadro RTX 5000 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 Quadro RTX 5000?▾
The GTX 1080 uses the Pascal architecture (2016) while the Quadro RTX 5000 uses Turing (2018). The Quadro RTX 5000 delivers 1.3x the FP16 throughput and 1.4x the memory bandwidth of the GTX 1080.