Specifications Compared
| Spec | A10 | GTX-1080 |
|---|---|---|
| TDP | 150W | 180W |
| VRAM | 24 GB | 8-11 GB |
| CUDA Cores | 9,216 | 2,560 |
| Memory Type | GDDR6 | GDDR5X |
| Architecture | Ampere | Pascal |
| Form Factors | PCIe | PCIe |
| Interconnect | ||
| Tensor Cores | 288 | |
| FP16 Performance | 31.2 TFLOPS | 8.9 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 8.9 TFLOPS |
| INT8 Performance | 250 TOPS | |
| Memory Bandwidth | 600 GB/s | 320 GB/s |
Performance Analysis
Compute performance difference dominates: the A10 reaches 31.2 TFLOPS in FP16 and FP32, more than three times the GTX 1080 Ti's 8.9 TFLOPS. Equal FP16 and FP32 rates on both enable efficient mixed-precision training and inference, but the A10 processes operations over 3.5 times faster. Training large models accelerates proportionally, while inference handles higher throughput.
VRAM capacity of 24 GB on the A10 dwarfs the GTX 1080 Ti's 8 to 11 GB, accommodating larger neural networks without swapping. Bandwidth at 600 GB/s versus 320 GB/s supports bigger batch sizes in data-heavy tasks like image generation or simulations, minimizing stalls. The A10's 150W TDP offers better efficiency than the GTX 1080 Ti's 180W, reducing power costs in prolonged cloud sessions.
These specs position the A10 for modern demands, while the GTX 1080 Ti suffices for scaled-down equivalents.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
A10
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 LeaderGPU | 10×NVIDIA A10 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.60/GPU/hr $6.00/hr total (10×) | Available | ||
 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 646GB Storage | Czechia | $1.07/GPU/hr | Available |
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 A10
NVIDIA A10 suits demanding AI workloads needing high VRAM and throughput. Training or fine-tuning models over 11 GB leverages its 24 GB GDDR6 and 31.2 TFLOPS. Inference on large language models benefits from 600 GB/s bandwidth for sustained batch processing. Cloud deployments prioritize it for efficiency at 150W TDP.
When to Choose the GTX 1080 Ti
NVIDIA GeForce GTX 1080 Ti fits budget-conscious or legacy applications. Smaller models under 11 GB VRAM run adequately on its 8.9 TFLOPS and 320 GB/s bandwidth. Cost-sensitive users select it at a flat $0.60 per hour for graphics rendering or light inference where A10 capacity exceeds needs.
Use Cases
A10's 24 GB VRAM and 31.2 TFLOPS handle large models and batches far better than GTX 1080 Ti's 8-11 GB and 8.9 TFLOPS.
Higher 600 GB/s bandwidth and 31.2 TFLOPS on A10 support efficient high-volume inference; GTX 1080 Ti limits scale with 320 GB/s.
A10's superior 24 GB capacity fits complex fine-tuning datasets, exceeding GTX 1080 Ti's 11 GB maximum.
24 GB VRAM on A10 enables high-resolution generations without issues; GTX 1080 Ti's 8-11 GB restricts image sizes.
Light simulations work on GTX 1080 Ti's 8.9 TFLOPS; intensive ones require A10's 31.2 TFLOPS and extra bandwidth.
Frequently Asked Questions
What is the VRAM difference between A10 and GTX 1080 Ti?▾
A10 provides 24 GB GDDR6 VRAM. GTX 1080 Ti offers 8 to 11 GB GDDR5X. This gap affects model size capacity in AI tasks.
How do FP32 performance levels compare?▾
A10 delivers 31.2 TFLOPS in FP32. GTX 1080 Ti achieves 8.9 TFLOPS. A10 processes floating-point operations over 3.5 times faster.
What are the cloud rental prices?▾
A10 starts at $0.60 per hour, averaging $1.06 across three offers. GTX 1080 Ti lists at $0.60 per hour across one offer.
Which has higher memory bandwidth?▾
A10 reaches 600 GB/s. GTX 1080 Ti provides 320 GB/s. Higher bandwidth on A10 supports larger batches.
Compare their TDPs.▾
A10 uses 150W TDP. GTX 1080 Ti requires 180W. A10 runs more power-efficiently in cloud environments.
When was each architecture released?▾
Ampere for A10 launched in 2021. Pascal for GTX 1080 Ti dates to 2016. A10 benefits from five years of advancements.
Which is cheaper to rent, the A10 or the GTX 1080?▾
Cloud rental prices for both the A10 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 A10 have compared to the GTX 1080?▾
The A10 has 24 GB of GDDR6 memory. The GTX 1080 has 8 to 11 GB of GDDR5X memory.
Can I find A10 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 A10 and the GTX 1080?▾
The A10 uses the Ampere architecture (2021) while the GTX 1080 uses Pascal (2016). The A10 delivers 3.5x the FP16 throughput and 1.9x the memory bandwidth of the GTX 1080.