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Yes, if the Mac GPU limit is raised. Nemotron 3.5 Bolt 74B-A9B (MoE, IQ2-class) on M3 Pro 36GB at Default needs sudo sysctl iogpu.wired_limit_mb=30413 (27.7 GB needed, 27.0 GB usable), about 20 tok/s (estimate).
Hardware: M3 Pro 36GB · Model: Nemotron 3.5 Bolt 74B-A9B (MoE, IQ2-class)
M3 Pro 36GB has 36 GB of unified memory and 150 GB/s of memory bandwidth. The checker leaves macOS a share of unified memory, so Ollama can use 27.0 GB. Nemotron 3.5 Bolt 74B-A9B (MoE, IQ2-class) (74B, 9B active, NVIDIA) at Default is a 25 GB download and needs 27.7 GB with headroom for about 8k tokens.
| Best quant | Default |
|---|---|
| Download size | 25 GB |
| Memory needed | 27.7 GB |
| Usable fast memory | 27.0 GB |
| Fit | fits if the Mac GPU limit is raised |
| Estimated speed | ~20 tok/s (estimate) |
| Mac GPU limit | sudo sysctl iogpu.wired_limit_mb=30413 |
| Command | ollama run nemotron-3.5-bolt:74b-a9b |
Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-23.
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