Can Desktop PC · 2× GeForce RTX 3090 (48 GB) · 128 GB RAM run Nemotron 3.5 Bolt 74B-A9B?

48 GB VRAM + 128 GB RAM · 936 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: 65–110 tok/s, leaving about 6.8 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.

Workload	Verdict	Quant	Generation	First reply	Context
Chatwith Open WebUI	Excellent	4-bit	65–110 tok/s	under 1 s	8K	Details
Coding questionswith Continue	Excellent	4-bit	65–110 tok/s	≈2 s	16K	Details
Coding in a repositorywith Aider	Acceptable	4-bit	65–110 tok/s	≈6 s	32K	Details
Agentic codingwith OpenCode	Acceptable	4-bit	65–110 tok/s	≈7 s	32K	Details
Long documents (64K)with Open WebUI	Excellent	4-bit	60–100 tok/s	≈20 s	64K	Details

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

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Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.

Check my exact setup