Can A100 80GB SXM4 run gemma-4-12b-it?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Google · 11.95B · model ctx up to 256K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run gemma-4-12b-it. At Q4 with the default 8K context it needs ≈ 9.96 GB VRAM (weights 6.57 GB + KV cache 2.39 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 108.6 tok/s (estimated, batch 1). FP16 (≈ 27.29 GB) also fits, at ≈ 29.9 tok/s (estimated). Estimates come from memory-bandwidth math; rows tagged measured override estimates. Relative ranking is more reliable than absolute tok/s. Methodology.

Fit & speed by quant and context

Quant	Context	VRAM needed	Fits?	tok/s (decode)
Q4	4K	8.77 GB	Yes	108.6 est.
Q4	8K default	9.96 GB	Yes	108.6 est.
Q4	32K	17.13 GB	Yes	108.6 est.
FP16	4K	26.09 GB	Yes	29.9 est.
FP16	8K default	27.29 GB	Yes	29.9 est.
FP16	32K	34.46 GB	Yes	29.9 est.

Fits = weights + KV(ctx) + 1 GB overhead ≤ 95% of VRAM. Measured anchors are context-agnostic; the fit verdict is recomputed per context. A missing tok/s means the model is far beyond this card (offload-only territory).

VRAM breakdown at 8K context

Quant	Weights	KV cache	Overhead	Total needed	A100 80GB SXM4 VRAM
Q4	6.57 GB	2.39 GB	1 GB	9.96 GB	80 GB
FP16	23.9 GB	2.39 GB	1 GB	27.29 GB	80 GB

Other GPUs that run gemma-4-12b-it

• B200 192GB SXM — ≈426.0 tok/s Q4 est.
• MI300X 192GB — ≈282.2 tok/s Q4 est.
• H200 141GB SXM5 — ≈255.6 tok/s Q4 est.
• H100 80GB SXM5 — ≈178.4 tok/s Q4 est.
• Gaudi 3 128GB — ≈174.5 tok/s Q4 est.
• RTX 5090 32GB — ≈95.4 tok/s Q4 est.
• RTX 4090 24GB — ≈53.7 tok/s Q4 est.
• RTX 4090D 24GB (China) — ≈53.7 tok/s Q4 est.

All GPUs for gemma-4-12b-it →

Other models for the A100 80GB SXM4

• MiniCPM5-1B — ≈1201.4 tok/s Q4 est.
• Qwen3.5-2B — ≈648.8 tok/s Q4 est.
• GLM-4.7-Flash — ≈432.5 tok/s Q4 est.
• Qwen3-30B-A3B-Instruct-2507 — ≈432.5 tok/s Q4 est.
• Qwen3-Next-80B-A3B-Instruct — ≈432.5 tok/s Q4 est.
• Qwen3-Coder-Next — ≈432.5 tok/s Q4 est.
• Qwen3.5-35B-A3B — ≈432.5 tok/s Q4 est.
• Qwen3.6-35B-A3B — ≈432.5 tok/s Q4 est.

All models on the A100 80GB SXM4 →