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 80GB outperforms the A10 dramatically in FP16 workloads: 312 TFLOPS versus 31.2 TFLOPS, a tenfold advantage ideal for neural network training where half-precision dominates. Inference benefits similarly from this FP16 edge, enabling faster throughput on large models. However, A10's FP32 at 31.2 TFLOPS exceeds A100's 19.5 TFLOPS, favoring A10 in single-precision tasks like certain simulations.
Memory specs define batch size limits: A100's 80 GB HBM2e and 2039 GB/s bandwidth support massive datasets without swapping, unlike A10's 24 GB GDDR6 at 600 GB/s. This bandwidth gap reduces training iteration times on A100 by handling larger gradients efficiently. Power draw impacts density: A10's 150W TDP allows more GPUs per server versus A100's 400W, influencing total cluster costs.
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 |
A100 PCIe 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 646GB Storage | Czechia | $1.07/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×) |
When to Choose the A10
Choose the A10 for cost-sensitive inference on mid-sized models. Its $0.60 per hour starting price and 31.2 TFLOPS FP32 suit workloads like real-time analytics where single-precision compute matters more than peak FP16. Lower 150W TDP fits dense, power-limited cloud instances without sacrificing 24 GB VRAM for batches up to moderate scales.
When to Choose the A100 PCIe 80GB
Select the A100 PCIe 80GB for demanding training and large-scale inference. The 312 TFLOPS FP16 and 80 GB HBM2e excel in LLM fine-tuning, supporting batch sizes infeasible on A10's 24 GB. Despite higher $0.89 per hour cost, 2039 GB/s bandwidth accelerates convergence in memory-bound tasks.
Use Cases
A100's 312 TFLOPS FP16 and 80 GB HBM2e handle massive parameter counts and large batches. A10's 31.2 TFLOPS and 24 GB limit scalability.
High 2039 GB/s bandwidth on A100 supports high-throughput serving. A10 suffices for smaller models but bottlenecks at scale.
A100's 80 GB VRAM accommodates full model loading during fine-tuning. A10's 24 GB requires gradient checkpointing, slowing processes.
A10's 31.2 TFLOPS FP32 and 24 GB VRAM generate images efficiently at lower $1.06 average cost. A100 overkill for typical diffusion tasks.
A10's balanced 31.2 TFLOPS FP32/FP16 fits lighter simulations; A100's bandwidth aids complex ones. Choice depends on dataset size.
Frequently Asked Questions
Which GPU has more VRAM: A10 or A100 PCIe 80GB?▾
The A100 PCIe 80GB offers 80 GB HBM2e, far exceeding the A10's 24 GB GDDR6. This enables larger models on A100. Bandwidth follows suit at 2039 GB/s versus 600 GB/s.
Is the A10 cheaper than A100 in the cloud?▾
A10 starts at $0.60 per hour, averaging $1.06 across three offers. A100 PCIe 80GB begins at $0.89 per hour, averaging $2.08 across 28 offers. A10 provides better value for lighter loads.
How do FP16 performance levels compare?▾
A100 delivers 312 TFLOPS FP16, ten times the A10's 31.2 TFLOPS. This gap favors A100 in AI training. FP32 is closer, with A10 at 31.2 TFLOPS over A100's 19.5 TFLOPS.
What is the power consumption difference?▾
A10 uses 150W TDP, half of A100's 400W. Lower power on A10 allows higher density in servers. A100 requires robust cooling for sustained peaks.
Can A10 replace A100 in multi-GPU setups?▾
A10 lacks NVLink, relying on PCIe like basic A100 setups. A100's interconnects scale better across nodes. Use A10 for single-GPU or small clusters.
Which is newer: A10 or A100?▾
A100 launched in 2020 under Ampere; A10 in 2021. Both share architecture, but A100 targets datacenters more aggressively.
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.