Hardware
NVIDIA A100 40GB
NVIDIA A100 40GB has 40 GB HBM2 and 1555 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (40 GB), 32 GB system RAM, and DDR5-5600 for anything that spills. Updated 2026-10-17.
Memory40 GB HBM2
Bandwidth1555 GB/s
Kindgpu
Year2020
40GB HBM2, 1555 GB/s. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| Llama 3.3 70B Instruct 70.6B | Tight fit | IQ4_XS | 4K | 22–30 |
| DeepSeek R1 Distill Llama 70B 70.6B | Tight fit | IQ4_XS | 4K | 22–30 |
| Hermes 4 70B 70.6B | Tight fit | IQ4_XS | 4K | 22–30 |
| Qwen3 Coder Next 79.7B | Tight fit | UD-IQ4_XS | 8K | 117–159 |
| Qwen2.5 72B Instruct 72.7B | Tight fit | Q3_K_M | 4K | 22–30 |
| Mistral Medium 3.5 128B 125B | Tight fit | UD-IQ2_XXS | 8K | 23–31 |
| Devstral 2 123B Instruct 2512 125B | Tight fit | UD-IQ2_XXS | 8K | 23–31 |
| Qwen3 Next 80B A3B Thinking 79.7B | Tight fit | UD-Q3_K_XL | 8K | 399–545 |
| Qwen3 Next 80B A3B Instruct 79.7B | Tight fit | UD-Q3_K_XL | 8K | 398–543 |
| Qwen2.5 32B Instruct 32.8B | Tight fit | Q8_0 | 8K | 23–32 |
| Qwen3 32B 32.8B | Tight fit | Q8_0 | 8K | 23–32 |
| Qwen2.5 Coder 32B Instruct 32.8B | Tight fit | Q8_0 | 8K | 23–32 |
| DeepSeek R1 Distill Qwen 32B 32.8B | Tight fit | Q8_0 | 8K | 23–32 |
| Qwen3 VL 32B Instruct 32.8B | Tight fit | Q8_0 | 8K | 23–32 |
| GLM 4 32B 0414 32.6B | Tight fit | Q8_0 | 8K | 24–33 |
| gemma 4 31B it 30.7B | Tight fit | UD-Q8_K_XL | 8K | 20–27 |
| Qwen3.5 122B A10B MTP 125B | Tight fit | UD-IQ1_M | 8K | 259–353 |
| Mistral Small 4 119B 2603 119B | Tight fit | UD-IQ2_XXS | 8K | 131–179 |
| Qwen3.8 27B 27.3B | Runs | UD-Q8_K_L | 8K | 30–41 |
| gemma 3 27b it 27.0B | Runs | UD-Q8_K_XL | 8K | 24–32 |
| medgemma 27b text it 27.0B | Runs | UD-Q8_K_XL | 8K | 24–32 |
| Qwen3.6 27B 26.9B | Tight fit | UD-Q8_K_XL | 8K | 24–33 |
| Qwen3.5 27B 26.9B | Tight fit | UD-Q8_K_XL | 8K | 24–32 |
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Tight fit | Q8_0 | 8K | 125–170 |
| Qwen3.8 35B A3B Distill 35.5B | Tight fit | Q8_0 | 8K | 254–347 |
| GLM 4.5 Air 110B | Tight fit | UD-IQ1_S | 4K | 96–130 |
| Qwen3.5 35B A3B 34.7B | Tight fit | Q8_0 | 8K | 254–347 |
| Qwen3.6 35B A3B 34.7B | Tight fit | UD-Q8_K_XL | 8K | 245–334 |
| Llama 4 Scout 17B 16E Instruct 108B | Tight fit | UD-IQ2_XXS | 8K | 89–122 |
| GLM 4.6V 107B | Tight fit | UD-IQ1_S | 8K | 91–124 |
| NVIDIA Nemotron 3.5 Lightning 30B A3B 32.9B | Tight fit | UD-Q8_K_XL | 8K | 216–295 |
| Devstral Small 2 24B Instruct 2512 23.6B | Runs | UD-Q8_K_XL | 8K | 28–38 |
| Mistral Small 3.2 24B Instruct 2506 23.6B | Runs | UD-Q8_K_XL | 8K | 28–38 |
| Magistral Small 2509 23.6B | Runs | UD-Q8_K_XL | 8K | 28–38 |
| Nemotron 3 Nano 30B A3B 31.6B | Runs | Q8_0 | 8K | 236–322 |
| NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning 31.6B | Tight fit | UD-Q8_K_XL | 8K | 225–307 |
| GLM 4.7 Flash 29.9B | Tight fit | UD-Q8_K_XL | 8K | 107–146 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Tight fit | UD-Q8_K_XL | 8K | 197–269 |
| Qwen3 30B A3B Instruct 2507 30.5B | Tight fit | UD-Q8_K_XL | 8K | 197–269 |
| Qwen3 VL 30B A3B Instruct 30.5B | Tight fit | UD-Q8_K_XL | 8K | 197–269 |
90 more models in the catalog do not fit this default profile, or ranked below the first 40 that do.
Example: Tight fit fully on your NVIDIA A100 40GB at IQ4_XS, 4K context, about 22–30 tok/s. Weights 35.3 GB plus 1.25 GB of KV cache — 37.2 GB of 38.0 GB usable. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).