Gemma 2 27B needs ~33.7 GB VRAM. Radeon PRO W7900 DS 48GB has 48.0 GB. With Q4_K_M quantization, expect ~33 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
32.5 tok/s
TTFT
5957 ms
Safe context
8K
Memory
33.7 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 | A | Runs well | 32.5 tok/s | 3249 ms | 8K |
| Coding | A | Runs well | 32.5 tok/s | 5957 ms | 8K |
| Agentic Coding | A | Tight fit | 32.5 tok/s | 8665 ms | 8K |
| Reasoning | A | Runs well | 32.5 tok/s | 7040 ms | 8K |
| RAG | A | Tight fit | 32.5 tok/s | 10831 ms | 8K |
How Gemma 2 27B (27B params) fits at each quantization level on Radeon PRO W7900 DS 48GB (48.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | B63 |
Q3_K_S | 3 | 13.2 GB | Low | B64 |
NVFP4 | 4 | 15.1 GB | Medium | B64 |
Q4_K_M | 4 | 16.5 GB | Medium | B65 |
Q5_K_M | 5 | 19.4 GB | High | B66 |
Q6_K | 6 | 22.1 GB | High | B66 |
Q8_0Best for your GPU | 8 | 28.9 GB | Very High | B68 |
F16 | 16 | 55.4 GB | Maximum | F0 |
Copy-paste commands to run Gemma 2 27B on your machine.
Run
ollama run gemma2:27bYour hardware
| Model | Params | Grade | Decode | Capabilities |
|---|---|---|---|---|
| 30.5B | S | 77.1 tok/s | ||
| 35B | S | 64.8 tok/s | ||
| 30B | S | 79.7 tok/s | ||
| 35B | S | 70.4 tok/s | ||
| 32B | S | 28.4 tok/s |
Yes, Radeon PRO W7900 DS 48GB can run Gemma 2 27B with a A grade (Runs well). Expected decode speed: 32.5 tok/s.
Gemma 2 27B (27B parameters) requires approximately 33.7 GB of memory with Q4_K_M quantization.
The recommended quantization for Gemma 2 27B is Q4_K_M, which balances quality and memory efficiency.
On Radeon PRO W7900 DS 48GB, Gemma 2 27B achieves approximately 32.5 tokens per second decode speed with a time-to-first-token of 5957ms using Q4_K_M quantization.
For coding workloads, Gemma 2 27B on Radeon PRO W7900 DS 48GB receives a A grade with 32.5 tok/s and 8K context.
On Radeon PRO W7900 DS 48GB, Gemma 2 27B 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-2-27b-on-radeon-pro-w7900-ds-48gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
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