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

ModelVerdictQuantContexttok/s
Llama 3.3 70B Instruct
70.6B
Tight fitIQ4_XS4K22–30
DeepSeek R1 Distill Llama 70B
70.6B
Tight fitIQ4_XS4K22–30
Hermes 4 70B
70.6B
Tight fitIQ4_XS4K22–30
Qwen3 Coder Next
79.7B
Tight fitUD-IQ4_XS8K117–159
Qwen2.5 72B Instruct
72.7B
Tight fitQ3_K_M4K22–30
Mistral Medium 3.5 128B
125B
Tight fitUD-IQ2_XXS8K23–31
Devstral 2 123B Instruct 2512
125B
Tight fitUD-IQ2_XXS8K23–31
Qwen3 Next 80B A3B Thinking
79.7B
Tight fitUD-Q3_K_XL8K399–545
Qwen3 Next 80B A3B Instruct
79.7B
Tight fitUD-Q3_K_XL8K398–543
Qwen2.5 32B Instruct
32.8B
Tight fitQ8_08K23–32
Qwen3 32B
32.8B
Tight fitQ8_08K23–32
Qwen2.5 Coder 32B Instruct
32.8B
Tight fitQ8_08K23–32
DeepSeek R1 Distill Qwen 32B
32.8B
Tight fitQ8_08K23–32
Qwen3 VL 32B Instruct
32.8B
Tight fitQ8_08K23–32
GLM 4 32B 0414
32.6B
Tight fitQ8_08K24–33
gemma 4 31B it
30.7B
Tight fitUD-Q8_K_XL8K20–27
Qwen3.5 122B A10B MTP
125B
Tight fitUD-IQ1_M8K259–353
Mistral Small 4 119B 2603
119B
Tight fitUD-IQ2_XXS8K131–179
Qwen3.8 27B
27.3B
RunsUD-Q8_K_L8K30–41
gemma 3 27b it
27.0B
RunsUD-Q8_K_XL8K24–32
medgemma 27b text it
27.0B
RunsUD-Q8_K_XL8K24–32
Qwen3.6 27B
26.9B
Tight fitUD-Q8_K_XL8K24–33
Qwen3.5 27B
26.9B
Tight fitUD-Q8_K_XL8K24–32
Kwaipilot KAT Coder V2.5 Dev
34.7B
Tight fitQ8_08K125–170
Qwen3.8 35B A3B Distill
35.5B
Tight fitQ8_08K254–347
GLM 4.5 Air
110B
Tight fitUD-IQ1_S4K96–130
Qwen3.5 35B A3B
34.7B
Tight fitQ8_08K254–347
Qwen3.6 35B A3B
34.7B
Tight fitUD-Q8_K_XL8K245–334
Llama 4 Scout 17B 16E Instruct
108B
Tight fitUD-IQ2_XXS8K89–122
GLM 4.6V
107B
Tight fitUD-IQ1_S8K91–124
NVIDIA Nemotron 3.5 Lightning 30B A3B
32.9B
Tight fitUD-Q8_K_XL8K216–295
Devstral Small 2 24B Instruct 2512
23.6B
RunsUD-Q8_K_XL8K28–38
Mistral Small 3.2 24B Instruct 2506
23.6B
RunsUD-Q8_K_XL8K28–38
Magistral Small 2509
23.6B
RunsUD-Q8_K_XL8K28–38
Nemotron 3 Nano 30B A3B
31.6B
RunsQ8_08K236–322
NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning
31.6B
Tight fitUD-Q8_K_XL8K225–307
GLM 4.7 Flash
29.9B
Tight fitUD-Q8_K_XL8K107–146
Qwen3 Coder 30B A3B Instruct
30.5B
Tight fitUD-Q8_K_XL8K197–269
Qwen3 30B A3B Instruct 2507
30.5B
Tight fitUD-Q8_K_XL8K197–269
Qwen3 VL 30B A3B Instruct
30.5B
Tight fitUD-Q8_K_XL8K197–269

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).