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Can A100 80GB SXM4 run Qwen3-Coder-Next?

NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth · Alibaba · 79.7B (active 3B) · MoE · model ctx up to 256K

Yes — the A100 80GB SXM4 (80 GB HBM2e) can run Qwen3-Coder-Next. At Q4 with the default 8K context it needs ≈ 45.44 GB VRAM (weights 43.84 GB + KV cache 0.6 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 432.5 tok/s (estimated, batch 1). FP16 needs ≈ 161.0 GB — does not fit on this card. 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

QuantContextVRAM neededFits?tok/s (decode)
Q44K45.14 GBYes432.5 est.
Q48K default45.44 GBYes432.5 est.
Q432K47.24 GBYes432.5 est.
FP164K160.7 GBNo84.2 est.
FP168K default161.0 GBNo83.9 est.
FP1632K162.8 GBNo82.1 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

QuantWeightsKV cacheOverheadTotal neededA100 80GB SXM4 VRAM
Q443.84 GB0.6 GB1 GB45.44 GB80 GB
FP16159.4 GB0.6 GB1 GB161.0 GB80 GB

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