Local AI Advisor

Can Desktop PC · GeForce RTX 4090 · 64 GB RAM run Nemotron 3.5 Bolt 74B-A9B?

24 GB VRAM + 64 GB RAM · 1008 GB/s memory bandwidth · Nemotron 3.5 Bolt 74B-A9B has 74B parameters (9B active per token).

Short answer

It loads, but it's borderline even for chat.

Best quantization for chat: 4-bit (39 GB of weights) on LM Studio. Generation: 13–17 tok/s, leaving about 0.0 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 WebUIBorderline4-bit13–17 tok/s≈1 s8KDetails
Coding questionswith ContinueBorderline4-bit12–17 tok/s≈7 s16KDetails
Coding in a repositorywith AiderBorderline4-bit12–16 tok/s≈20 s32KDetails
Agentic codingwith OpenCodeBorderline4-bit12–16 tok/s≈30 s32KDetails
Long documents (64K)with Open WebUIBorderline4-bit11–15 tok/s≈90 s64KDetails

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.