Specifications Compared
| Spec | GTX-1080 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 180W | 260W |
| VRAM | 8-11 GB | 48 GB |
| CUDA Cores | 2,560 | 4,608 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Turing |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 16.3 TFLOPS |
| Memory Bandwidth | 320 GB/s | 672 GB/s |
Performance Analysis
The Quadro RTX 8000 outperforms the GTX 1080 Ti by 83 percent in FP16 and FP32 performance, with 16.3 TFLOPS versus 8.9 TFLOPS. This delta translates to faster neural network training and inference: training epochs complete quicker on the Quadro due to higher throughput, while inference latency reduces for real-time applications. Both GPUs maintain FP16 equivalent to FP32, suitable for workloads without specialized tensor cores, though Turing architecture enhances deep learning efficiency.
Memory specifications further advantage the Quadro RTX 8000: 48 GB VRAM supports models exceeding 11 GB, enabling larger batch sizes in training without out-of-memory errors. The 672 GB/s bandwidth, double the GTX 1080 Ti's 320 GB/s, minimizes data transfer bottlenecks, allowing bigger batches in inference pipelines. Consequently, memory-intensive tasks like fine-tuning large language models favor the Quadro, while lighter workloads tolerate the GTX 1080 Ti 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
The GTX 1080 Ti suits budget-conscious users targeting light machine learning inference or gaming workloads in cloud environments. At $0.60 per hour, its 8.9 TFLOPS FP32 performance and 180W TDP handle small models with batch sizes fitting within 8-11 GB VRAM effectively. Scenarios with intermittent compute needs benefit from its availability across live offers.
When to Choose the Quadro RTX 8000
Professionals select the Quadro RTX 8000 for demanding visualization, simulation, or AI training requiring extensive memory. Its 48 GB VRAM and NVLink interconnect enable multi-GPU scaling for models beyond 11 GB, with 16.3 TFLOPS accelerating complex computations. Higher 672 GB/s bandwidth supports large-batch processing in production pipelines.
Use Cases
The Quadro RTX 8000's 48 GB VRAM accommodates large language models that exceed the GTX 1080 Ti's 8-11 GB limit. Its 16.3 TFLOPS FP16 performance doubles the GTX 1080 Ti's 8.9 TFLOPS for faster training iterations.
48 GB VRAM on the Quadro RTX 8000 supports high-concurrency inference with large batches, unlike the GTX 1080 Ti's 8-11 GB constraint. Bandwidth of 672 GB/s versus 320 GB/s reduces latency in serving pipelines.
Fine-tuning benefits from the Quadro RTX 8000's 16.3 TFLOPS and NVLink for multi-GPU setups, outperforming the GTX 1080 Ti's 8.9 TFLOPS and lack of interconnect.
Stable Diffusion runs adequately on the GTX 1080 Ti's 8-11 GB VRAM for standard resolutions at 8.9 TFLOPS. The Quadro RTX 8000 excels for high-resolution batches with 48 GB VRAM.
The Quadro RTX 8000's 672 GB/s bandwidth and 48 GB VRAM handle large datasets in simulations, surpassing the GTX 1080 Ti's 320 GB/s and 8-11 GB capacities.
Frequently Asked Questions
Which GPU has more VRAM: GTX 1080 Ti or Quadro RTX 8000?▾
The Quadro RTX 8000 provides 48 GB GDDR6 VRAM, far exceeding the GTX 1080 Ti's 8-11 GB GDDR5X. This makes the Quadro suitable for larger AI models. The GTX 1080 Ti suffices for smaller workloads.
What is the FP32 performance difference between GTX 1080 Ti and Quadro RTX 8000?▾
The Quadro RTX 8000 delivers 16.3 TFLOPS FP32, 83 percent higher than the GTX 1080 Ti's 8.9 TFLOPS. This impacts training speed directly. Inference also benefits from the uplift.
Is the GTX 1080 Ti available in cloud pricing?▾
Cloud pricing for the GTX 1080 Ti starts at $0.60 per hour, averaging $0.60 across one live offer. No such offers exist for the Quadro RTX 8000 currently. This favors the GTX 1080 Ti for cost-sensitive tasks.
How does memory bandwidth compare on these GPUs?▾
The Quadro RTX 8000 achieves 672 GB/s bandwidth, more than double the GTX 1080 Ti's 320 GB/s. Higher bandwidth supports larger batch sizes. It reduces bottlenecks in data-heavy computations.
Which GPU has lower power consumption?▾
The GTX 1080 Ti consumes 180W TDP, lower than the Quadro RTX 8000's 260W. This suits power-limited cloud instances. Performance per watt favors the Quadro at 16.3 TFLOPS versus 8.9 TFLOPS.
Does the Quadro RTX 8000 support NVLink?▾
The Quadro RTX 8000 includes NVLink interconnect for multi-GPU communication, absent on the GTX 1080 Ti. This enables efficient scaling in professional clusters. PCIe form factor is common to both.
Which is cheaper to rent, the GTX 1080 or the Quadro RTX 8000?▾
Cloud rental prices for both the GTX 1080 and Quadro RTX 8000 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 8000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find GTX 1080 and Quadro RTX 8000 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 8000?▾
The GTX 1080 uses the Pascal architecture (2016) while the Quadro RTX 8000 uses Turing (2018). The Quadro RTX 8000 delivers 1.8x the FP16 throughput and 2.1x the memory bandwidth of the GTX 1080.