NVIDIA · Ampere

What runs on a A100 40GB

40 GB at 1555 GB/s. The largest model that fits at Q4_K_M is Mixtral 8x7B, at roughly 100 tokens per second.

Runs comfortably

6.4 GB of 36.8 GB · 17%
037 GB
Weights 4.6 GB
KV cache 1.0 GB
Runtime overhead 0.8 GB

Llama 3.1 8B at Q4_K_M leaves 30.4 GB spare on a A100 40GB. There is room to raise the context length or move up a quantisation level.

Generation184tok/s
Prompt processing8159tok/s
Max context128Ktokens
KV per 1K tokens0GB

Every quantisation of Llama 3.1 8B on a A100 40GB

Highlighted row is the highest quality that still fits at 8K context.

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 15.0 GB 16.8 GB Runs comfortably 128K 62.2
INT8 / W8A8 8.50 7.7 GB 9.5 GB Runs comfortably 128K 116
Q8_0 (GGUF) 8.50 7.7 GB 9.5 GB Runs comfortably 128K 116
FP8 (E4M3) 8.00 7.5 GB 9.3 GB Runs comfortably 128K 119
Q6_K 6.56 6.1 GB 8.0 GB Runs comfortably 128K 143
AWQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 128K 160
GPTQ 4-bit 4.25 5.4 GB 7.2 GB Runs comfortably 128K 160
MXFP4 4.25 5.4 GB 7.2 GB Runs comfortably 128K 160
Q5_K_M 5.67 5.3 GB 7.1 GB Runs comfortably 128K 163
Q5_K_S 5.52 5.2 GB 7.0 GB Runs comfortably 128K 166
Q4_K_M 4.85 4.6 GB 6.4 GB Runs comfortably 128K 184
Q4_K_S 4.58 4.4 GB 6.2 GB Runs comfortably 128K 192
Q4_0 4.55 4.4 GB 6.2 GB Runs comfortably 128K 192
IQ4_XS 4.25 4.1 GB 5.9 GB Runs comfortably 128K 202
Q3_K_M 3.91 3.8 GB 5.7 GB Runs comfortably 128K 215
IQ3_M 3.70 3.7 GB 5.5 GB Runs comfortably 128K 223
IQ3_XXS 3.06 3.2 GB 5.0 GB Runs comfortably 128K 253
Q2_K 2.63 2.8 GB 4.6 GB Runs comfortably 128K 278
IQ2_XXS 2.06 2.3 GB 4.2 GB Runs comfortably 128K 321
IQ1_M 1.75 2.1 GB 3.9 GB Runs comfortably 128K 350

Models on a A100 40GB

Q4_K_M at 8K context. Bandwidth sets the speed; capacity sets the ceiling.

ModelParamsWeightsVerdictMax ctxtok/s
DeepSeek-R1 671B-A37B 671B 379.0 GB Won't fit 2.03
Qwen3 235B-A22B 235.1B 132.8 GB Won't fit 3.86
gpt-oss 120B-A5.1B 116.8B 66.0 GB Won't fit 24.4
Llama 4 Scout 109B-A17B 109B 61.7 GB Won't fit 7.92
Qwen2.5 72B 72.7B 41.2 GB Won't fit 4.03
Llama 3.1 70B 70.5B 40.0 GB Won't fit 4.63
Mixtral 8x7B 46.7B 26.4 GB Runs comfortably 32K 100
Command R 35B 35.0B 20.1 GB Runs comfortably 13K 38.5
Yi-1.5 34B 34.4B 19.5 GB Runs comfortably 32K 46.8
Qwen3 32B 32.8B 18.6 GB Runs comfortably 69K 48.7
Qwen2.5-Coder 32B 32.8B 18.6 GB Runs comfortably 69K 48.7
DeepSeek-R1-Distill-Qwen 32B 32.8B 18.6 GB Runs comfortably 69K 48.7
Qwen3 30B-A3B 30.5B 17.3 GB Runs comfortably 128K 147
Gemma 3 27B 27.4B 15.6 GB Runs comfortably 128K 58.3
Mistral Small 24B 23.6B 13.4 GB Runs comfortably 32K 68.2
gpt-oss 20B-A3.6B 20.9B 11.9 GB Runs comfortably 128K 271
Qwen3 14B 14.8B 8.5 GB Runs comfortably 128K 104
Phi-4 14B 14.7B 8.4 GB Runs comfortably 16K 104
Mistral NeMo 12B 12.3B 7.0 GB Runs comfortably 128K 124
Gemma 3 12B 12.2B 7.0 GB Runs comfortably 128K 125
GLM-4 9B 9.4B 5.4 GB Runs comfortably 128K 168
Qwen3 8B 8.2B 4.7 GB Runs comfortably 128K 177
Llama 3.1 8B 8.0B 4.6 GB Runs comfortably 128K 184
DeepSeek-R1-Distill-Llama 8B 8.0B 4.6 GB Runs comfortably 128K 184
Qwen2.5 7B 7.6B 4.4 GB Runs comfortably 128K 204
Mistral 7B v0.3 7.3B 4.1 GB Runs comfortably 32K 203
Gemma 3 4B 4.3B 2.5 GB Runs comfortably 128K 338
Qwen3 4B 4.0B 2.3 GB Runs comfortably 128K 317
Llama 3.2 3B 3.2B 1.8 GB Runs comfortably 128K 398
Llama 3.2 1B 1.2B 0.7 GB Runs comfortably 128K 1037

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