Hardware
NVIDIA A40
NVIDIA A40 has 48 GB GDDR6 and 696 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (48 GB), 32 GB system RAM, and DDR5-5600 for anything that spills. Updated 2026-10-17.
Memory48 GB GDDR6
Bandwidth696 GB/s
Kindgpu
Year2020
48GB GDDR6, 696 GB/s. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| Qwen3 Next 80B A3B Instruct 79.7B | Tight fit | UD-Q4_K_XL | 8K | 151–206 |
| Qwen3 Next 80B A3B Thinking 79.7B | Tight fit | UD-Q4_K_XL | 8K | 151–206 |
| Qwen3 Coder Next 79.7B | Tight fit | UD-Q4_K_S | 8K | 44–61 |
| Mistral Small 4 119B 2603 119B | Tight fit | UD-IQ3_S | 8K | 46–63 |
| Mistral Medium 3.5 128B 125B | Runs | UD-IQ2_XXS | 8K | 10–14 |
| Devstral 2 123B Instruct 2512 125B | Runs | UD-IQ2_XXS | 8K | 10–14 |
| Llama 4 Scout 17B 16E Instruct 108B | Tight fit | UD-IQ3_XXS | 4K | 36–50 |
| Qwen3.5 122B A10B MTP 125B | Tight fit | UD-Q2_K_XL | 8K | 105–143 |
| Qwen2.5 32B Instruct 32.8B | Runs | Q8_0 | 8K | 10–14 |
| Qwen2.5 Coder 32B Instruct 32.8B | Runs | Q8_0 | 8K | 10–14 |
| DeepSeek R1 Distill Qwen 32B 32.8B | Runs | Q8_0 | 8K | 10–14 |
| GLM 4 32B 0414 32.6B | Runs | UD-Q8_K_XL | 8K | 9.6–13 |
| GLM 4.6V 107B | Tight fit | UD-Q2_K_XL | 4K | 36–50 |
| Qwen3.8 27B 27.3B | Runs great | UD-Q8_K_L | 8K | 13–18 |
| gemma 3 27b it 27.0B | Runs | UD-Q8_K_XL | 8K | 11–15 |
| medgemma 27b text it 27.0B | Runs | UD-Q8_K_XL | 8K | 11–15 |
| Qwen3.6 27B 26.9B | Runs | UD-Q8_K_XL | 8K | 11–15 |
| Qwen3.5 27B 26.9B | Runs | UD-Q8_K_XL | 8K | 11–14 |
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Runs | Q8_0 | 8K | 56–76 |
| Qwen3.8 35B A3B Distill 35.5B | Runs | Q8_0 | 8K | 114–155 |
| GLM 4.5 Air 110B | Tight fit | UD-IQ2_XXS | 8K | 36–49 |
| Qwen3.5 35B A3B 34.7B | Runs | Q8_0 | 8K | 114–155 |
| Qwen3.6 35B A3B 34.7B | Runs | UD-Q8_K_XL | 8K | 110–149 |
| NVIDIA Nemotron 3.5 Lightning 30B A3B 32.9B | Runs | UD-Q8_K_XL | 8K | 97–132 |
| Devstral Small 2 24B Instruct 2512 23.6B | Runs | UD-Q8_K_XL | 8K | 13–17 |
| Mistral Small 3.2 24B Instruct 2506 23.6B | Runs | UD-Q8_K_XL | 8K | 13–17 |
| Magistral Small 2509 23.6B | Runs | UD-Q8_K_XL | 8K | 13–17 |
| NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning 31.6B | Runs | UD-Q8_K_XL | 8K | 101–137 |
| Nemotron 3 Nano 30B A3B 31.6B | Runs | UD-Q8_K_XL | 8K | 89–122 |
| GLM 4.7 Flash 29.9B | Runs | UD-Q8_K_XL | 8K | 48–65 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Runs | UD-Q8_K_XL | 8K | 88–120 |
| Qwen3 30B A3B Instruct 2507 30.5B | Runs | UD-Q8_K_XL | 8K | 88–120 |
| Qwen3 VL 30B A3B Instruct 30.5B | Runs | UD-Q8_K_XL | 8K | 88–120 |
| Qwen3 30B A3B Thinking 2507 30.5B | Runs | UD-Q8_K_XL | 8K | 88–120 |
| gemma 4 26B A4B it 25.2B | Runs great | UD-Q8_K_XL | 8K | 60–82 |
| LFM2.5 24B A2B 24.0B | Runs great | Q8_0 | 8K | 137–187 |
| GLM 4.7 Flash REAP 23B A3B 23.0B | Tight fit | BF16 | 8K | 59–81 |
| gpt oss 20b 20.9B | Runs great | UD-Q8_K_XL | 8K | 95–129 |
| Qwen2.5 14B Instruct 14.8B | Runs | F16 | 8K | 12–17 |
| Qwen3 14B 14.8B | Runs | BF16 | 8K | 12–17 |
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 A40 at UD-Q4_K_XL, 8K context, about 151–206 tok/s. Weights 42.9 GB plus 0.75 GB of KV cache — 44.4 GB of 45.6 GB usable. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).