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's FP16 performance reaches 312 TFLOPS, delivering 10 times the A10's 31.2 TFLOPS, which accelerates neural network training and inference using half-precision arithmetic common in modern deep learning. FP32 shows A10 ahead at 31.2 TFLOPS over A100's 19.5 TFLOPS, benefiting applications like traditional simulations that avoid mixed precision.
Memory bandwidth of 2039 GB/s on A100, 3.4 times A10's 600 GB/s, enables larger batch sizes during training, speeding convergence and throughput for memory-intensive tasks. A100's 80 GB VRAM handles enormous models without sharding, while A10's 24 GB limits scale for large language models.
Higher TDP of 400W on A100 reflects its compute density, demanding advanced cooling, whereas A10's 150W supports efficient, dense deployments. Interconnects like NVLink on A100 boost multi-GPU scaling over A10's PCIe.
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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 769GB Storage | Slovenia | $0.73/GPU/hr $1.47/hr total (2×) | Available | ||
Vast.ai | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 256 vCPU 126GB RAM 5672GB 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | Available |
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 397GB Storage | Slovenia | $0.73/GPU/hr | 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 | 2×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 64 vCPU 126GB RAM 1114GB Storage | Czechia | $1.00/GPU/hr $2.00/hr total (2×) | 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×) | |||
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×) |
When to Choose the A10
The A10 excels in cost-sensitive, power-constrained scenarios. Its 150W TDP allows higher density in servers compared to A100's 400W, and average $1.06/hr pricing undercuts A100's $1.35/hr for workloads fitting 24 GB VRAM.
Inference on mid-sized models or FP32-heavy tasks like graphics rendering favor A10, where its balanced 31.2 TFLOPS FP32/FP16 suffices without overprovisioning.
When to Choose the A100 SXM4 80GB
The A100 SXM4 80GB dominates large-scale AI training and inference. 312 TFLOPS FP16 and 80 GB VRAM process massive datasets and models efficiently, with 2039 GB/s bandwidth supporting high batch sizes.
Multi-node clusters benefit from NVLink and InfiniBand, scaling beyond A10's PCIe limits for HPC or LLM development.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB VRAM handle large-scale LLM training efficiently. A10's 31.2 TFLOPS and 24 GB VRAM constrain batch sizes and model sizes.
2039 GB/s bandwidth on A100 supports high-throughput inference for big LLMs. A10's 600 GB/s and 24 GB limit concurrency on large models.
A100's superior FP16 performance and VRAM enable fast fine-tuning of large models. A10 suits only smaller adapters within 24 GB.
Both GPUs manage image generation workloads; A10's lower $1.06/hr average suits prototyping, while A100 accelerates high-res batches.
A10's 31.2 TFLOPS FP32 outperforms A100's 19.5 TFLOPS for single-precision simulations. Lower 150W TDP aids dense HPC clusters.
Frequently Asked Questions
Does the A100 have more VRAM than the A10?▾
The A100 SXM4 80GB offers 80 GB HBM2e VRAM, triple the A10's 24 GB GDDR6. This capacity supports larger models without multi-GPU splitting. A10 suffices for mid-sized workloads.
How does A100 FP16 performance compare to A10?▾
A100 achieves 312 TFLOPS FP16, 10 times the A10's 31.2 TFLOPS. This boosts AI training speed significantly. Inference also benefits from the gap.
What is the memory bandwidth difference between A10 and A100?▾
A100 provides 2039 GB/s, 3.4 times A10's 600 GB/s. Higher bandwidth enables larger training batches on A100. A10 works for less demanding tasks.
Which GPU uses less power: A10 or A100?▾
A10 draws 150W TDP, less than half of A100's 400W. This allows denser cloud instances with A10. A100 requires robust cooling infrastructure.
What are the cloud prices for A10 vs A100 SXM4 80GB?▾
A10 starts at $0.60/hr with $1.06/hr average across 3 offers; A100 at $0.45/hr average $1.35/hr across 26 offers. Availability favors A100. Value depends on workload scale.
Is A100 better for multi-GPU setups than A10?▾
A100 supports NVLink, PCIe 4.0, and InfiniBand for superior scaling. A10 relies on PCIe alone. This makes A100 ideal for clusters.
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.