Mixture-of-experts hosting
Why these models need the memory of a big model but compute like a small one.
- From the articleMiniMax M3: an open frontier model you can run yourself?
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Dominik Heinrich · dominikheinrich.ch
Mixture-of-experts hosting
Created on Nov 9, 2026
Interactive
What does a mixture-of-experts model cost to host?
All experts must sit in GPU memory, but each token only runs through the active ones. Memory scales with total parameters, speed with active parameters.
Precision
≈ 428 GB
weights in GPU memory
7
80 GB GPUs, minimum
23B
compute per token, like a dense model this size
Planning estimate: weights plus about 15% for KV cache and runtime. Real throughput depends on batch size, interconnect and the serving engine.
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- MADO Consulting
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Available worldwide, remote. On-site on request, depending on the country.
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