Specifications Compared
| Spec | A10 | A100 |
|---|---|---|
| TDP | 150W | 400W |
| VRAM | 24 GB | 40-80 GB |
| CUDA Cores | 9,216 | 6,912 |
| Memory Type | GDDR6 | HBM2e |
| Architecture | Ampere | Ampere |
| Form Factors | PCIe | SXM4, PCIe |
| Interconnect | NVLink, PCIe 4.0, InfiniBand | |
| Tensor Cores | 288 | 432 |
| FP16 Performance | 31.2 TFLOPS | 312 TFLOPS |
| FP32 Performance | 31.2 TFLOPS | 19.5 TFLOPS |
| INT8 Performance | 250 TOPS | 624 TOPS |
| Memory Bandwidth | 600 GB/s | 2,039 GB/s |
Performance Analysis
The A100 PCIe 40GB dominates in FP16 performance with 312 TFLOPS, delivering ten times the throughput of A10's 31.2 TFLOPS: this accelerates mixed-precision training and inference for deep learning models. In contrast, A10's equal 31.2 TFLOPS across FP16 and FP32 suits workloads heavy on single-precision compute, such as certain simulations or graphics tasks. A100's FP32 at 19.5 TFLOPS lags relatively, but its overall tensor core efficiency compensates in modern AI pipelines.
Memory bandwidth of 2039 GB/s on A100 enables larger batch sizes and faster data movement than A10's 600 GB/s, reducing bottlenecks in training large language models or handling high-resolution datasets. The 40 GB HBM2e VRAM supports bigger models without splitting, while A10's 24 GB GDDR6 limits scale for memory-intensive jobs. Higher 400W TDP on A100 correlates with sustained peak performance, though A10's 150W efficiency aids dense deployments.
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 557GB Storage | Czechia | $1.00/GPU/hr | Available |
A100 PCIe 40GB
| 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 | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) |
When to Choose the A10
Choose NVIDIA A10 for cost-sensitive inference or fine-tuning where models fit within 24 GB VRAM and FP32 performance matters. Its average $1.06 per hour pricing and 150W TDP make it ideal for edge deployments or virtual GPU sharing in graphics-heavy applications like VDI. Balanced 31.2 TFLOPS FP16 and FP32 throughput handles moderate AI tasks without excessive power draw.
When to Choose the A100 PCIe 40GB
NVIDIA A100 PCIe 40GB excels in demanding training scenarios requiring 312 TFLOPS FP16 and 2039 GB/s bandwidth for large batch sizes. Its 40 GB HBM2e VRAM accommodates expansive models, and NVLink support scales multi-GPU setups. Despite higher $1.85 per hour average and 400W TDP, it delivers superior throughput for production AI pipelines.
Use Cases
A100's 312 TFLOPS FP16 and 40 GB HBM2e VRAM manage massive parameter counts and large batches better than A10's 31.2 TFLOPS and 24 GB GDDR6.
High 2039 GB/s bandwidth on A100 supports high-throughput serving of large models, outperforming A10's 600 GB/s for production-scale requests.
Smaller models fit A10's 24 GB VRAM with cost savings at $1.06 per hour average, but A100's 40 GB handles larger ones efficiently.
A10's balanced 31.2 TFLOPS FP32/FP16 and lower 150W TDP suit image generation at lower cost, as 24 GB VRAM suffices for most resolutions.
A100's 2039 GB/s bandwidth and NVLink accelerate simulations with large datasets, surpassing A10's capabilities in HPC environments.
Frequently Asked Questions
Which GPU has more VRAM: A10 or A100 PCIe 40GB?▾
NVIDIA A100 PCIe 40GB offers 40 GB HBM2e VRAM, exceeding A10's 24 GB GDDR6. This allows A100 to load larger models without offloading. Bandwidth also favors A100 at 2039 GB/s over 600 GB/s.
How do FP16 performance numbers compare between A10 and A100?▾
A100 delivers 312 TFLOPS FP16, ten times A10's 31.2 TFLOPS. This gap accelerates mixed-precision AI training on A100. A10 remains viable for lighter FP16 tasks.
What are the cloud pricing differences for A10 vs A100 PCIe 40GB?▾
Both start at $0.60 per hour, but A10 averages $1.06 across three offers while A100 averages $1.85 across eleven. A10 provides better value for budget workloads. Prices fluctuate on gpuperhour.com.
Is A10 or A100 better for power efficiency?▾
A10 consumes 150W TDP versus A100's 400W, enabling denser cloud instances. This suits cost-optimized or thermally constrained environments. Performance per watt favors A10 in FP32 tasks.
Can A10 handle large model training like A100?▾
A10's 24 GB VRAM limits it compared to A100's 40 GB, often requiring model parallelism. A100's 312 TFLOPS FP16 handles training far better. Use A10 for smaller-scale fine-tuning.
What interconnects does each GPU support?▾
A10 relies on PCIe only, while A100 PCIe 40GB adds NVLink, PCIe 4.0, and InfiniBand options. This enhances A100 multi-GPU scaling. A10 fits single-node setups.
Which is cheaper to rent, the A10 or the A100?▾
Cloud rental prices for both the A10 and A100 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 A100?▾
The A10 has 24 GB of GDDR6 memory. The A100 has 40 to 80 GB of HBM2e memory.
Can I find A10 and A100 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 A100?▾
The A10 uses the Ampere architecture (2021) while the A100 uses Ampere (2020). The A100 delivers 10.0x the FP16 throughput and 3.4x the memory bandwidth of the A10.