Gemma 2 27B needs ~54.2 GB VRAM. AMD Instinct MI325X 256GB has 256.0 GB. With Q4_K_M quantization, expect ~174 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
173.5 tok/s
TTFT
1116 ms
Safe context
8K
Memory
54.2 GB / 256.0 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 | 173.5 tok/s | 609 ms | 8K |
| Coding | B | Runs well | 173.5 tok/s | 1116 ms | 8K |
| Agentic Coding | B | Runs well | 173.5 tok/s | 1623 ms | 8K |
| Reasoning | B | Runs well | 173.5 tok/s | 1319 ms | 8K |
| RAG | B | Runs well | 173.5 tok/s | 2028 ms | 8K |
How Gemma 2 27B (27B params) fits at each quantization level on AMD Instinct MI325X 256GB (256.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | B56 |
Q3_K_S | 3 | 13.2 GB | Low | B56 |
NVFP4 | 4 | 15.1 GB | Medium | B56 |
Q4_K_M | 4 | 16.5 GB | Medium | B56 |
Q5_K_M | 5 | 19.4 GB | High | B56 |
Q6_K | 6 | 22.1 GB | High | B57 |
Q8_0 | 8 | 28.9 GB | Very High | B57 |
F16Best for your GPU | 16 | 55.4 GB | Maximum | B59 |
Copy-paste commands to run Gemma 2 27B on your machine.
Run
ollama run gemma2:27bYes, AMD Instinct MI325X 256GB can run Gemma 2 27B with a B grade (Runs well). Expected decode speed: 173.5 tok/s.
Gemma 2 27B (27B parameters) requires approximately 54.2 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 AMD Instinct MI325X 256GB, Gemma 2 27B achieves approximately 173.5 tokens per second decode speed with a time-to-first-token of 1116ms using Q4_K_M quantization.
For coding workloads, Gemma 2 27B on AMD Instinct MI325X 256GB receives a B grade with 173.5 tok/s and 8K context.
On AMD Instinct MI325X 256GB, 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-instinct-mi325x-256gb" 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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