Run Kimi K2 1T on a Dedicated Mac

Kimi K2 1T needs about 566 GB of memory at 4-bit. It runs on our 2× Mac Studio M5 Ultra 512GB Cluster at about 26–35 tokens per second, from $4,999/mo.

Macs that run Kimi K2 1T

At 4-bit with a 32K-token context. Speeds are estimates; see real measurements on the calculator page.

  • 2× Mac Studio M5 Ultra 512GB Cluster Best value Cluster
    26–35 tokens/sec
    from $4,999/mo Available Dec 30, 2026
    Order
  • 4× Mac Studio M5 Ultra 512GB Cluster Cluster
    24–31 tokens/sec
    from $9,999/mo Available Dec 30, 2026
    Order

Why it runs well on a Mac

Language models have to sit entirely in memory, and generating each word means reading through them again. Apple Silicon puts up to 512 GB of fast unified memory on one chip that the GPU can use directly, so a model like this fits on one quiet machine instead of a stack of graphics cards.

Kimi K2 1T is a mixture-of-experts model: of its 1,000 billion parameters, only about 32 billion are used for each word. It needs memory for all of them but runs at the speed of a much smaller model.

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