Local AI Advisor

Can Desktop PC · RTX PRO 6000 Blackwell · 128 GB RAM run Nemotron 3.5 Bolt 74B-A9B?

96 GB VRAM + 128 GB RAM · 1792 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: 130–180 tok/s, leaving about 55 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-bit130–180 tok/sunder 1 s8KDetails
Coding questionswith ContinueExcellent4-bit130–180 tok/s≈1 s16KDetails
Coding in a repositorywith AiderAcceptable4-bit130–170 tok/s≈3 s32KDetails
Agentic codingwith OpenCodeAcceptable4-bit130–170 tok/s≈4 s32KDetails
Long documents (64K)with Open WebUIExcellent4-bit120–160 tok/s≈10 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.