NVIDIA A100 40GB PCIe vs NVIDIA A10G, AI & Machine Learning Comparison
NVIDIA A100 40GB PCIe wins 16 of 18 benchmarks, averaging 92.2% faster.
NVIDIA A100 40GB PCIe's numbers are anchored estimates calibrated against our measured cards, pending first-party measurement. Treat small gaps as ties.
What the numbers say
The gap is widest in Wan 2.2 5B (720p), where NVIDIA A100 40GB PCIe leads by 239% (0.61 vs 0.18 frames/s); the closest fight is Qwen3 30B A3B (31% apart); VRAM decides part of this one: NVIDIA A100 40GB PCIe runs 161 of our 12 AI workloads while the other card runs 18, models that don't fit score zero.
Benchmark results head-to-head
| Benchmark | NVIDIA A100 40GB PCIe | NVIDIA A10G | Difference |
|---|---|---|---|
| Granite 4.1 3B tok/s | 207.93 | 147.45 | +41% |
| Qwen3-4B tok/s | 197.27 | 129.87 | +52% |
| Llama-3.1-8B tok/s | 154.22 | 86.62 | +78% |
| Qwen3 8B tok/s | 146.86 | 84.09 | +75% |
| Gemma 4 12B tok/s | 90.61 | 52.67 | +72% |
| Qwen2.5-Coder-14B tok/s | 84.11 | 47.07 | +79% |
| Qwen3 14B tok/s | 87.51 | 48.12 | +82% |
| Gemma 4 26B A4B tok/s | 136.74 | 101.91 | +34% |
| Qwen3 30B A3B tok/s | 182.96 | 140.12 | +31% |
| Gemma 4 31B tok/s | 42.57 | 22.67 | +88% |
| Qwen3-32B tok/s | 41.5 | 22.04 | +88% |
| Llama 3.3 70B tok/s | 0 | 0 | n/a |
| Stable Diffusion XL images/min | 16.8 | 6.38 | +163% |
| FLUX.1 Kontext dev images/min | 1.843 | 0 | n/a |
| FLUX.1 dev images/min | 3.964 | 0 | n/a |
| Qwen-Image-Edit images/min | 0 | 0 | n/a |
| Z-Image Turbo images/min | 9.3 | 3.45 | +170% |
| Wan 2.2 5B (720p) frames/s | 0.61 | 0.18 | +239% |
Whole-job comparison
How long each card takes to finish a complete pipeline, not just one model. NVIDIA A100 40GB PCIe is faster on 3 of 3; NVIDIA A10G on 0.
| Workflow | NVIDIA A100 40GB PCIe | NVIDIA A10G | Difference |
|---|---|---|---|
| 24-frame storyboard | 3.2 min | 9 min | NVIDIA A100 40GB PCIe 2.79x faster |
| Full codebase review | 11.9 min | 21.3 min | NVIDIA A100 40GB PCIe 1.79x faster |
| Short social clips | 14.7 min | 50.7 min | NVIDIA A100 40GB PCIe 3.44x faster |
Specifications compared
| NVIDIA A100 40GB PCIe | NVIDIA A10G | |
|---|---|---|
| VRAM | 40GB | 24GB |
| Transistors | 54,200M | 28,300M |
| Die size | 826 mm² | 628.4 mm² |
| Process node | 7 nm | 8 nm |
| Transistor density | 65.6 M/mm² | 45 M/mm² |
| Architecture | Ampere | Ampere |
| Memory bandwidth | 1555 GB/s | 600 GB/s |
| Boost clock | 1,410 MHz | 1,710 MHz |
| TDP | 250 W | 150 W |
| Launch MSRP | $10,000 | $2,800 |
| Release | 2020-06-22 | 2021-11-01 |
FAQ
- Which is better for ai & machine learning: NVIDIA A100 40GB PCIe or NVIDIA A10G?
- NVIDIA A100 40GB PCIe performs better for ai & machine learning, winning 16 of 18 benchmarks in our suite with an average 92.2% advantage.
- What are the main hardware differences between NVIDIA A100 40GB PCIe and NVIDIA A10G?
- NVIDIA A100 40GB PCIe has 40GB VRAM and a 250W TDP, while NVIDIA A10G has 24GB VRAM and a 150W TDP.
- Does VRAM matter more than speed between NVIDIA A100 40GB PCIe and NVIDIA A10G?
- For AI, yes, NVIDIA A100 40GB PCIe fits 23 more of our 12 workloads than NVIDIA A10G. A model that exceeds VRAM doesn't run slower, it doesn't run at all, so the card that fits the model wins that workload outright.
- Where is the biggest performance difference between NVIDIA A100 40GB PCIe and NVIDIA A10G?
- Wan 2.2 5B (720p): NVIDIA A100 40GB PCIe leads by roughly 43% (0.61 vs 0.18 frames/s) in our testing.
NVIDIA A100 40GB PCIe full review · NVIDIA A10G full review · All AI & Machine Learning rankings