← AI Hashrate

Can Mac Studio M2 Ultra 192GB run gpt-oss-120b?

Apple · 192 GB LPDDR5 · 800 GB/s bandwidth · OpenAI · 120.4B (active 5.1B) · MoE · model ctx up to 128K

Yes — the Mac Studio M2 Ultra 192GB (192 GB LPDDR5) can run gpt-oss-120b. At Q4 with the default 8K context it needs ≈ 68.24 GB VRAM (weights 66.22 GB + KV cache 1.02 GB + 1 GB runtime overhead), which fits within 192 GB. Decode at Q4/8K: ≈ 79.7 tok/s (measured, batch 1). FP16 needs ≈ 242.82 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)
Q44K67.73 GBYes79.7 measured
Q48K default68.24 GBYes79.7 measured
Q432K71.3 GBYes79.7 measured
FP164K242.31 GBNo49.2 est.
FP168K default242.82 GBNo49.0 est.
FP1632K245.88 GBNo47.8 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 neededMac Studio M2 Ultra 192GB VRAM
Q466.22 GB1.02 GB1 GB68.24 GB192 GB
FP16240.8 GB1.02 GB1 GB242.82 GB192 GB

Other GPUs that run gpt-oss-120b

All GPUs for gpt-oss-120b →

Other models for the Mac Studio M2 Ultra 192GB

All models on the Mac Studio M2 Ultra 192GB →