Local AI Advisor

Can Mac Studio M5 Ultra 256 GB run Nemotron 3.5 Bolt 74B-A9B?

256 GB unified · 1228 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: 70–120 tok/s, leaving about 206 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-bit70–120 tok/sunder 1 s8KDetails
Coding questionswith ContinueExcellent4-bit70–110 tok/s≈1 s16KDetails
Coding in a repositorywith AiderAcceptable4-bit65–110 tok/s≈4 s32KDetails
Agentic codingwith OpenCodeAcceptable4-bit65–110 tok/s≈5 s32KDetails
Long documents (64K)with Open WebUIExcellent4-bit65–100 tok/s≈15 s64KDetails

Speeds are bandwidth-based estimates; no direct benchmark exists for this pair. “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.