Nemotron Nano 9B v2 needs ~11.1 GB VRAM. RTX A4500 20GB has 20.0 GB. With Q4_K_M quantization, expect ~98 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
97.7 tok/s
TTFT
1981 ms
Safe context
74K
Memory
11.1 GB / 20.0 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 | A | Runs well | 97.7 tok/s | 1080 ms | 74K |
| Coding | A | Runs well | 97.7 tok/s | 1981 ms | 74K |
| Agentic Coding | S | Runs well | 97.7 tok/s | 2881 ms | 74K |
| Reasoning | A | Runs well | 97.7 tok/s | 2341 ms | 74K |
| RAG | S | Runs well | 97.7 tok/s | 3601 ms | 74K |
How Nemotron Nano 9B v2 (9B params) fits at each quantization level on RTX A4500 20GB (20.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | A75 |
Q3_K_S | 3 | 4.4 GB | Low | A76 |
NVFP4 | 4 |
Copy-paste commands to run Nemotron Nano 9B v2 on your machine.
Run
ollama run nemotron-nano:9b-v2Your hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | A | 41.2 tok/s | ||
| 27B | A | 18.6 tok/s |
Yes, RTX A4500 20GB can run Nemotron Nano 9B v2 with a A grade (Runs well). Expected decode speed: 97.7 tok/s.
Nemotron Nano 9B v2 (9B parameters) requires approximately 11.1 GB of memory with Q4_K_M quantization.
The recommended quantization for Nemotron Nano 9B v2 is Q4_K_M, which balances quality and memory efficiency.
On RTX A4500 20GB, Nemotron Nano 9B v2 achieves approximately 97.7 tokens per second decode speed with a time-to-first-token of 1981ms using Q4_K_M quantization.
For coding workloads, Nemotron Nano 9B v2 on RTX A4500 20GB receives a A grade with 97.7 tok/s and 74K context.
On RTX A4500 20GB, Nemotron Nano 9B v2 can safely use up to 74K 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-nano-9b-v2-on-rtx-a4500-20gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
| Medium |
| A76 |
Q4_K_M | 4 | 5.5 GB | Medium | A77 |
Q5_K_M | 5 | 6.5 GB | High | A77 |
Q6_K | 6 | 7.4 GB | High | A78 |
Q8_0Best for your GPU | 8 | 9.6 GB | Very High | A80 |
F16 | 16 | 18.5 GB | Maximum | F0 |
| 27B | S | 23 tok/s |
| 30B | A | 43.8 tok/s |
| 24B | S | 26.7 tok/s |