Specifications Compared
| Spec | GTX-1080 | RTX-A6000 |
|---|---|---|
| TDP | 180W | 300W |
| VRAM | 8-11 GB | 48 GB |
| CUDA Cores | 2,560 | 10,752 |
| Memory Type | GDDR5X | GDDR6 |
| Architecture | Pascal | Ampere |
| Form Factors | PCIe | PCIe |
| Interconnect | NVLink | |
| FP16 Performance | 8.9 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 8.9 TFLOPS | 38.7 TFLOPS |
| Memory Bandwidth | 320 GB/s | 768 GB/s |
Performance Analysis
The RTX A6000 outperforms the GTX 1080 Ti by over 3x in raw compute: 38.7 TFLOPS FP16 and FP32 versus 11.3 TFLOPS. This delta translates to faster model training and inference, as FP16 enables mixed-precision workflows common in deep learning, reducing time for large datasets. The GTX 1080 Ti's 1:1 FP16 to FP32 ratio suits basic compute, but lacks Ampere's tensor core optimizations for accelerated FP16. Memory specs define real-world limits: the A6000's 48 GB VRAM supports batch sizes up to 4x larger than the 1080 Ti's 11 GB, preventing out-of-memory errors in LLM fine-tuning. Bandwidth at 768 GB/s versus 484 GB/s further boosts the A6000, allowing 1.6x faster data throughput for memory-bound tasks like Stable Diffusion. Higher TDP of 300 W on A6000 versus 250 W reflects its power for sustained loads.
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 |
RTX A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
 RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the GTX 1080 Ti
The GTX 1080 Ti excels in budget-constrained, lightweight scenarios. Its $0.60 per hour pricing across limited offers suits small-scale inference or prototyping where 11 GB VRAM handles models under 7 billion parameters. Low availability ensures quick access without queues, ideal for hobbyists or quick tests on Pascal-compatible legacy code.
When to Choose the RTX A6000
Opt for the RTX A6000 in demanding production environments. Abundant 64 cloud offers from $0.17 per hour enable scalable deployments with 48 GB VRAM for large LLMs or high-resolution Stable Diffusion. NVLink interconnect supports multi-GPU setups, unavailable on the GTX 1080 Ti.
Use Cases
RTX A6000's 48 GB VRAM and 38.7 TFLOPS FP16 handle large models and batches infeasible on GTX 1080 Ti's 11 GB.
Higher 768 GB/s bandwidth and 38.7 TFLOPS on A6000 enable low-latency serving of big models; 1080 Ti limits scale.
A6000's tensor cores and 48 GB VRAM accelerate fine-tuning of 70B+ models; 1080 Ti suits only small ones.
RTX A6000 generates higher resolutions faster with 48 GB VRAM versus 11 GB on 1080 Ti.
GTX 1080 Ti suffices for FP32 tasks at 11.3 TFLOPS if datasets fit 11 GB; A6000 for larger simulations.
Frequently Asked Questions
Which GPU has more VRAM?▾
The RTX A6000 provides 48 GB GDDR6, over four times the GTX 1080 Ti's 11 GB GDDR5X. This enables larger models on A6000. GTX 1080 Ti limits to smaller workloads.
What is the performance difference?▾
RTX A6000 achieves 38.7 TFLOPS FP32 and FP16, 3.4x higher than GTX 1080 Ti's 11.3 TFLOPS. Training times drop significantly on A6000. Inference benefits similarly.
How do cloud prices compare?▾
GTX 1080 Ti averages $0.60 per hour across 1 offer. RTX A6000 starts at $0.17 per hour, averaging $1.00 across 64 offers. A6000 offers more flexibility.
Which has higher memory bandwidth?▾
RTX A6000 delivers 768 GB/s, 1.6x the GTX 1080 Ti's 484 GB/s. Larger batches process faster on A6000. Bandwidth bottlenecks less on modern tasks.
What are the TDPs?▾
GTX 1080 Ti consumes 250 W; RTX A6000 requires 300 W. Higher TDP correlates with A6000's compute gains. Power costs vary by provider.
Does RTX A6000 support NVLink?▾
Yes, RTX A6000 includes NVLink for multi-GPU scaling. GTX 1080 Ti lacks interconnects, limiting clusters. NVLink boosts large-scale training.
Which is cheaper to rent, the GTX 1080 or the RTX A6000?▾
Cloud rental prices for both the GTX 1080 and RTX A6000 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 A6000?▾
The GTX 1080 has 8 to 11 GB of GDDR5X memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find GTX 1080 and RTX A6000 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 A6000?▾
The GTX 1080 uses the Pascal architecture (2016) while the RTX A6000 uses Ampere (2020). The RTX A6000 delivers 4.3x the FP16 throughput and 2.4x the memory bandwidth of the GTX 1080.