Gemma 2 9B needs ~16.6 GB VRAM. NVIDIA L20 48GB has 48.0 GB. With Q4_K_M quantization, expect ~115 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
120.6 tok/s
TTFT
1605 ms
Safe context
8K
Memory
16.6 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 | B | Runs well | 114.9 tok/s | 919 ms | 8K |
| Coding | B | Runs well | 114.9 tok/s | 1685 ms | 8K |
| Agentic Coding | B | Runs well | 114.9 tok/s | 2451 ms | 8K |
| Reasoning | B | Runs well | 114.9 tok/s | 1992 ms | 8K |
| RAG | B | Runs well | 114.9 tok/s | 3064 ms | 8K |
How Gemma 2 9B (9B params) fits at each quantization level on NVIDIA L20 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 3.5 GB | Low | B56 |
Q3_K_S | 3 | 4.4 GB | Low | B56 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 2 9B on your machine.
Run
ollama run gemma2Yes, NVIDIA L20 48GB can run Gemma 2 9B with a B grade (Runs well). Expected decode speed: 114.9 tok/s.
Gemma 2 9B (9B parameters) requires approximately 16.6 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 2 9B is Q4_K_M, which balances quality and memory efficiency.
On NVIDIA L20 48GB, Gemma 2 9B achieves approximately 114.9 tokens per second decode speed with a time-to-first-token of 1685ms using Q4_K_M quantization.
For coding workloads, Gemma 2 9B on NVIDIA L20 48GB receives a B grade with 114.9 tok/s and 8K context.
On NVIDIA L20 48GB, Gemma 2 9B can safely use up to 8K tokens of context. The model's official context limit is 8K, 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/gemma-2-9b-on-l20-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
5.0 GB |
| Medium |
| B56 |
Q4_K_M | 4 | 5.5 GB | Medium | B56 |
Q5_K_M | 5 | 6.5 GB | High | B56 |
Q6_K | 6 | 7.4 GB | High | B57 |
Q8_0 | 8 | 9.6 GB | Very High | B57 |
F16Best for your GPU | 16 | 18.5 GB | Maximum | B60 |