Nemotron 3 Nano 30B needs ~40.8 GB VRAM. AMD Instinct MI300X 192GB has 192.0 GB. With Q4_K_M quantization, expect ~243 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
242.8 tok/s
TTFT
797 ms
Safe context
131K
Memory
40.8 GB / 192.0 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 | 242.8 tok/s | 435 ms | 131K |
| Coding | S | Runs well | 242.8 tok/s | 797 ms | 131K |
| Agentic Coding | S | Runs well | 242.8 tok/s | 1160 ms | 131K |
| Reasoning | S | Runs well | 242.8 tok/s | 942 ms | 131K |
| RAG | S | Runs well | 242.8 tok/s | 1449 ms | 131K |
How Nemotron 3 Nano 30B (30B params) fits at each quantization level on AMD Instinct MI300X 192GB (192.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.7 GB | Low | A77 |
Q3_K_S | 3 | 14.7 GB | Low | A77 |
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 |
|---|---|---|---|---|
| 123B | S | 59.9 tok/s | ||
| 30.5B | S |
Yes, AMD Instinct MI300X 192GB can run Nemotron 3 Nano 30B with a S grade (Runs well). Expected decode speed: 242.8 tok/s.
Nemotron 3 Nano 30B (30B parameters) requires approximately 40.8 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 AMD Instinct MI300X 192GB, Nemotron 3 Nano 30B achieves approximately 242.8 tokens per second decode speed with a time-to-first-token of 797ms using Q4_K_M quantization.
For coding workloads, Nemotron 3 Nano 30B on AMD Instinct MI300X 192GB receives a S grade with 242.8 tok/s and 131K context.
On AMD Instinct MI300X 192GB, 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-instinct-mi300x-192gb" 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 |
| A77 |
Q4_K_M | 4 | 18.3 GB | Medium | A77 |
Q5_K_M | 5 | 21.6 GB | High | A78 |
Q6_K | 6 | 24.6 GB | High | A78 |
Q8_0 | 8 | 32.1 GB | Very High | A79 |
F16Best for your GPU | 16 | 61.5 GB | Maximum | A82 |
| 625.1 tok/s |
| 122B | S | 166.2 tok/s |
| 284B | S | 89.1 tok/s |
| 35B | S | 525.4 tok/s |