Qwen on NVIDIA Ampere

Can I run Qwen3 235B-A22B on an A100 80GB?

Not at Q4_K_M — it needs 135.1 GB against 74.4 GB available. You would need 2 of these cards.

Won't fit

135.1 GB of 74.4 GB · 182%
0141 GB
Weights 132.8 GB
KV cache 1.5 GB
Runtime overhead 0.8 GB
Over the limit 60.7 GB

Short by 60.7 GB. You can run it with 51 of 94 layers on the A100 80GB and the rest in system RAM, at roughly 6.02 tok/s — usable for batch work, painful for chat. A smaller quantisation or a shorter context is usually the better trade.

Generation6.02tok/s
Prompt processing2959tok/s
Max context0tokens
KV per 1K tokens0GB

Every quantisation of Qwen3 235B-A22B on a A100 80GB

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

QuantisationbpwWeights TotalVerdictMax ctxtok/s
FP16 / BF16 16.00 437.9 GB 440.2 GB Won't fit 1.11
INT8 / W8A8 8.50 232.3 GB 234.6 GB Won't fit 2.46
Q8_0 (GGUF) 8.50 232.3 GB 234.6 GB Won't fit 2.46
FP8 (E4M3) 8.00 218.9 GB 221.2 GB Won't fit 2.64
Q6_K 6.56 179.5 GB 181.8 GB Won't fit 3.55
Q5_K_M 5.67 155.2 GB 157.5 GB Won't fit 4.49
Q5_K_S 5.52 151.1 GB 153.4 GB Won't fit 4.68
Q4_K_M 4.85 132.8 GB 135.1 GB Won't fit 6.02
Q4_K_S 4.58 125.5 GB 127.8 GB Won't fit 6.75
Q4_0 4.55 124.7 GB 127.0 GB Won't fit 6.79
AWQ 4-bit 4.25 118.0 GB 120.3 GB Won't fit 7.62
GPTQ 4-bit 4.25 118.0 GB 120.3 GB Won't fit 7.62
MXFP4 4.25 118.0 GB 120.3 GB Won't fit 7.62
IQ4_XS 4.25 116.5 GB 118.8 GB Won't fit 7.89
Q3_K_M 3.91 107.2 GB 109.5 GB Won't fit 9.61
IQ3_M 3.70 101.5 GB 103.8 GB Won't fit 10.9
IQ3_XXS 3.06 84.1 GB 86.4 GB Won't fit 21.3
Q2_K 2.63 72.4 GB 74.7 GB Won't fit 6K 59.5
IQ2_XXS 2.06 56.9 GB 59.2 GB Runs comfortably 91K 73.9
IQ1_M 1.75 48.4 GB 50.7 GB Runs comfortably 128K 78.0

Also worth checking