Local AI Advisor

Can MacBook Pro M3 Max 96 GB run Nemotron 3.5 Super VL 120B-A12B?

96 GB unified · 300 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: 20–30 tok/s, leaving about 24 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 WebUIExcellentMXFP420–30 tok/s≈3 s8KDetails
Coding questionswith ContinueComfortableMXFP420–25 tok/s≈20 s16KDetails
Coding in a repositorywith AiderAcceptableMXFP420–25 tok/s≈55 s32KDetails
Agentic codingwith OpenCodeAcceptableMXFP420–25 tok/s≈75 s32KDetails
Long documents (64K)with Open WebUIAcceptableMXFP419–25 tok/s≈4 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.