Nemotron 3 Nano 30B needs ~26.7 GB VRAM. RTX 6000 Ada 48GB has 48.0 GB. With Q4_K_M quantization, expect ~46 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
46.2 tok/s
TTFT
4187 ms
Safe context
131K
Memory
26.7 GB / 48.0 GB
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 46.2 tok/s | 2284 ms | 131K |
| Coding | S | Runs well | 46.2 tok/s | 4187 ms | 131K |
| Agentic Coding | S | Runs well | 46.2 tok/s | 6090 ms | 131K |
| Reasoning | S | Runs well | 46.2 tok/s | 4948 ms | 131K |
| RAG | S | Runs well | 46.2 tok/s | 7612 ms | 131K |
How Nemotron 3 Nano 30B (30B params) fits at each quantization level on RTX 6000 Ada 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | A84 |
Q3_K_S | 3 | 14.7 GB | Low | A85 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron 3 Nano 30B on your machine.
Run
ollama run nemotron-nano:30bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 119 tok/s | ||
| 35B | S | 100 tok/s |
Yes, RTX 6000 Ada 48GB can run Nemotron 3 Nano 30B with a S grade (Runs well). Expected decode speed: 46.2 tok/s.
Nemotron 3 Nano 30B (30B parameters) requires approximately 26.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron 3 Nano 30B is Q4_K_M, which balances quality and memory efficiency.
On RTX 6000 Ada 48GB, Nemotron 3 Nano 30B achieves approximately 46.2 tokens per second decode speed with a time-to-first-token of 4187ms using Q4_K_M quantization.
For coding workloads, Nemotron 3 Nano 30B on RTX 6000 Ada 48GB receives a S grade with 46.2 tok/s and 131K context.
On RTX 6000 Ada 48GB, Nemotron 3 Nano 30B can safely use up to 131K tokens of context. The model's official context limit is 131K, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/nemotron-3-nano-30b-on-rtx-6000-ada-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
16.8 GB |
| Medium |
| S85 |
Q4_K_M | 4 | 18.3 GB | Medium | S86 |
Q5_K_M | 5 | 21.6 GB | High | S87 |
Q6_K | 6 | 24.6 GB | High | S88 |
Q8_0Best for your GPU | 8 | 32.1 GB | Very High | S88 |
F16 | 16 | 61.5 GB | Maximum | F0 |
| 35B | S | 108.8 tok/s |
| 32B | S | 43.9 tok/s |
| 30.5B | S | 119 tok/s |