Local AI Advisor

Can Mac Studio M5 Max 128 GB run Nemotron 3.5 Super VL 120B-A12B?

128 GB unified · 614 GB/s memory bandwidth · Nemotron 3.5 Super VL 120B-A12B has 120B parameters (12B active per token).

Short answer

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

Best quantization for chat: MXFP4 (60 GB of weights) on vLLM. Generation: 30–50 tok/s, leaving about 56 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 WebUIExcellentMXFP430–50 tok/s≈2 s8KDetails
Coding questionswith ContinueExcellentMXFP430–50 tok/s≈10 s16KDetails
Coding in a repositorywith AiderComfortableMXFP430–50 tok/s≈35 s32KDetails
Agentic codingwith OpenCodeAcceptableMXFP430–50 tok/s≈50 s32KDetails
Long documents (64K)with Open WebUIComfortableMXFP430–45 tok/s≈2 min64KDetails

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.