Can A100 80GB SXM4 run Qwen3.5-27B?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Alibaba · 27.0B · model ctx up to 256K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run Qwen3.5-27B. At Q4 with the default 8K context it needs ≈ 21.25 GB VRAM (weights 14.85 GB + KV cache 5.4 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 48.1 tok/s (estimated, batch 1). FP16 (≈ 60.4 GB) also fits, at ≈ 13.2 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	18.55 GB	Yes	48.1 est.
Q4	8K default	21.25 GB	Yes	48.1 est.
Q4	32K	37.45 GB	Yes	48.1 est.
FP16	4K	57.7 GB	Yes	13.2 est.
FP16	8K default	60.4 GB	Yes	13.2 est.
FP16	32K	76.6 GB	No	41.2 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	14.85 GB	5.4 GB	1 GB	21.25 GB	80 GB
FP16	54.0 GB	5.4 GB	1 GB	60.4 GB	80 GB

Other GPUs that run Qwen3.5-27B

• B200 192GB SXM — ≈188.6 tok/s Q4 est.
• MI300X 192GB — ≈124.9 tok/s Q4 est.
• H200 141GB SXM5 — ≈113.1 tok/s Q4 est.
• H100 80GB SXM5 — ≈79.0 tok/s Q4 est.
• Gaudi 3 128GB — ≈77.2 tok/s Q4 est.
• RTX 5090 32GB — ≈42.2 tok/s Q4 est.
• RTX 4090 24GB — ≈23.8 tok/s Q4 est.
• RTX 4090D 24GB (China) — ≈23.8 tok/s Q4 est.

All GPUs for Qwen3.5-27B →

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 →