Local AI Advisor

Can Mac Studio M2 Max 96 GB run Nemotron 3.5 Bolt 74B-A9B?

96 GB unified · 400 GB/s memory bandwidth · Nemotron 3.5 Bolt 74B-A9B has 74B parameters (9B active per token).

Short answer

Yes, excellent for chat and acceptable or better for every workload we test.

Best quantization for chat: 4-bit (39 GB of weights) on LM Studio. Generation: 35–45 tok/s, leaving about 46 GB free for your other apps.

How it rates for each workload

Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.

WorkloadVerdictQuantGenerationFirst replyContext
Chatwith Open WebUIExcellent4-bit35–45 tok/s≈2 s8KDetails
Coding questionswith ContinueExcellent4-bit35–45 tok/s≈10 s16KDetails
Coding in a repositorywith AiderAcceptable4-bit35–45 tok/s≈30 s32KDetails
Agentic codingwith OpenCodeAcceptable4-bit35–45 tok/s≈40 s32KDetails
Long documents (64K)with Open WebUIComfortable4-bit30–45 tok/s≈2 min64KDetails

Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.