Can A100 80GB SXM4 run Mixtral-8x7B-Instruct-v0.1?
NVIDIA · 80 GB HBM2e · 2039 GB/s bandwidth ·
Mistral · 46.7B (active 12.9B) · MoE · model ctx up to 32K
Yes — the A100 80GB SXM4 (80 GB HBM2e) can run Mixtral-8x7B-Instruct-v0.1. At Q4 with the default 8K context it needs ≈ 29.27 GB VRAM (weights 25.69 GB + KV cache 2.58 GB + 1 GB runtime overhead), which fits within 80 GB. Decode at Q4/8K: ≈ 100.6 tok/s (estimated, batch 1). FP16 needs ≈ 96.98 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
Quant
Context
VRAM needed
Fits?
tok/s (decode)
Q4
4K
27.98 GB
Yes
100.6est.
Q4
8K default
29.27 GB
Yes
100.6est.
Q4
32K
37.01 GB
Yes
100.6est.
FP16
4K
95.69 GB
No
55.2est.
FP16
8K default
96.98 GB
No
53.8est.
FP16
32K
104.72 GB
No
46.1est.
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).