Specifications Compared
| Spec | A100 | GTX-1080 |
|---|---|---|
| TDP | 400W | 180W |
| VRAM | 40-80 GB | 8-11 GB |
| CUDA Cores | 6,912 | 2,560 |
| Memory Type | HBM2e | GDDR5X |
| Architecture | Ampere | Pascal |
| Form Factors | SXM4, PCIe | PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 432 | |
| FP16 Performance | 312 TFLOPS | 8.9 TFLOPS |
| FP32 Performance | 19.5 TFLOPS | 8.9 TFLOPS |
| FP64 Performance | 9.7 TFLOPS | |
| INT8 Performance | 624 TOPS | |
| Memory Bandwidth | 2,039 GB/s | 320 GB/s |
Performance Analysis
The NVIDIA A100 SXM4 80GB outperforms the NVIDIA GeForce GTX 1080 Ti dramatically in compute-intensive scenarios. Its 312 TFLOPS FP16 capability supports accelerated AI training where half-precision computations dominate, achieving up to 35 times the throughput of the GTX 1080 Ti's 8.9 TFLOPS. The A100's 19.5 TFLOPS FP32 also doubles the GTX 1080 Ti's 8.9 TFLOPS, benefiting single-precision scientific simulations.
Memory specifications define real-world usability: the A100's 2039 GB/s bandwidth versus 320 GB/s on the GTX 1080 Ti allows larger batch sizes in deep learning, reducing training times for models exceeding 11 GB VRAM. The GTX 1080 Ti struggles with datasets over its 11 GB limit, causing out-of-memory errors, while the A100's 80 GB handles enterprise-scale transformers seamlessly. Power efficiency follows suit, with the A100's 400 W TDP delivering higher performance per watt for sustained cloud runs compared to the 180 W GTX 1080 Ti.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A100 SXM4 80GB
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 63GB RAM 2826GB Storage | Slovenia | $0.73/GPU/hr | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 794GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
 LeaderGPU | 8×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.90/GPU/hr $7.20/hr total (8×) | Available | ||
Vast.ai | NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 63GB RAM 557GB Storage | Czechia | $1.00/GPU/hr | Available | ||
 Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) |
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 A100 SXM4 80GB
Opt for the NVIDIA A100 SXM4 80GB in professional AI development requiring high VRAM and throughput. Its 80 GB HBM2e and 312 TFLOPS FP16 excel in training large language models or fine-tuning with batch sizes infeasible on 11 GB GPUs. Cloud deployments benefit from NVLink interconnects for multi-GPU scaling at $0.67 per hour starting price.
When to Choose the GTX 1080 Ti
Select the NVIDIA GeForce GTX 1080 Ti for cost-sensitive, low-demand tasks like basic inference or gaming emulation. Its $0.60 per hour pricing and 180 W TDP suit intermittent use where 8.9 TFLOPS suffices and 11 GB VRAM handles small models. It fits hobbyist prototyping without needing 2039 GB/s bandwidth.
Use Cases
The A100 SXM4 80GB's 80 GB VRAM and 312 TFLOPS FP16 handle massive parameter counts and large batches. The GTX 1080 Ti's 11 GB VRAM causes frequent out-of-memory issues.
A100's 2039 GB/s bandwidth supports high-throughput serving of large models. GTX 1080 Ti limits concurrency with 320 GB/s and low FP16 performance.
80 GB capacity fits full model fine-tuning without gradient checkpointing. GTX 1080 Ti requires heavy optimization due to 11 GB constraint.
A100 generates images faster with 19.5 TFLOPS FP32 and high memory for high-res outputs. GTX 1080 Ti suffices for basic use but slows on complex prompts.
A100's 400 W TDP and PCIe 4.0 deliver sustained FP32 at 19.5 TFLOPS for simulations. GTX 1080 Ti's older architecture bottlenecks large-scale computations.
Frequently Asked Questions
Which GPU has more VRAM: A100 SXM4 80GB or GTX 1080 Ti?▾
The A100 SXM4 80GB provides 80 GB HBM2e VRAM. The GTX 1080 Ti offers 11 GB GDDR5X. This enables the A100 to load models over seven times larger.
How do FP16 performances compare between A100 SXM4 80GB and GTX 1080 Ti?▾
A100 SXM4 80GB achieves 312 TFLOPS FP16. GTX 1080 Ti reaches 8.9 TFLOPS FP16. The A100 accelerates half-precision AI tasks by 35 times.
What is the memory bandwidth difference?▾
A100 SXM4 80GB delivers 2039 GB/s. GTX 1080 Ti provides 320 GB/s. Higher bandwidth on A100 supports larger batch sizes in training.
Which is cheaper in the cloud?▾
GTX 1080 Ti starts at $0.60 per hour across one offer. A100 SXM4 80GB begins at $0.67 per hour (average $1.41) across 24 offers. GTX suits ultra-low budgets.
Is A100 SXM4 80GB better for AI training?▾
Yes, its 19.5 TFLOPS FP32 and NVLink interconnect scale multi-GPU training. GTX 1080 Ti's 8.9 TFLOPS limits it to small-scale work.
What are the TDPs of these GPUs?▾
A100 SXM4 80GB has 400 W TDP. GTX 1080 Ti uses 180 W. Lower TDP makes GTX 1080 Ti preferable for power-constrained environments.
Which is cheaper to rent, the A100 or the GTX 1080?▾
Cloud rental prices for both the A100 and GTX 1080 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 A100 have compared to the GTX 1080?▾
The A100 has 40 to 80 GB of HBM2e memory. The GTX 1080 has 8 to 11 GB of GDDR5X memory.
Can I find A100 and GTX 1080 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 A100 and the GTX 1080?▾
The A100 uses the Ampere architecture (2020) while the GTX 1080 uses Pascal (2016). The A100 delivers 35.1x the FP16 throughput and 6.4x the memory bandwidth of the GTX 1080.