Nemotron-3-Nano-Omni-30B-A3B-Reasoning
1recorded run
274.4best tok/s
0verified
What the Nemotron-3-Nano-Omni-30B-A3B-Reasoning numbers mean
The fastest result on our board is 274.4 output tok/s on an RTX 5090 at Q4_K_M with a 2048-token context. That is about 3.6 ms per generated token — 500 tokens takes roughly 1.8 seconds. Prompt processing on the same record runs at 1208.8 tok/s, so a 2,000-token prompt is read in about 1.7 seconds.
How much VRAM does Nemotron-3-Nano-Omni-30B-A3B-Reasoning need?
Nemotron-3-Nano-Omni-30B-A3B-Reasoning has 30.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.
| Quantisation | Estimated VRAM | Smallest card that fits |
|---|---|---|
| Q4_K_M (4-bit) | 20.2 GB | 24 GB |
| Q8_0 (8-bit) | 37.5 GB | 48 GB |
| FP16 (16-bit) | 69.8 GB | 96 GB |
Fastest GPUs for this model (best tok/s)
- RTX 5090274.4
Models with a similar footprint
| Model | Params | Q4_K_M weights |
|---|---|---|
| Hy-MT2-30B-A3B | 30B | 16.9 GB |
| Muse-Glimmer-30B | 30B | 16.9 GB |
| North-Mini-Code-1.0 | 30B | 16.9 GB |
| Qwen3-Coder-30B-A3B-Instruct | 30B | 16.9 GB |
| granite-4.2-30b | 29B | 16.3 GB |
| QUEST-30B-RL-B70-Turbo | 31B | 17.4 GB |