Gemma 2 27B needs ~41.4 GB VRAM. AMD Instinct MI300A 128GB has 128.0 GB. With Q4_K_M quantization, expect ~140 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
147.0 tok/s
TTFT
1317 ms
Safe context
8K
Memory
41.4 GB / 128.0 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 | 140.0 tok/s | 754 ms | 8K |
| Coding | B | Runs well | 140.0 tok/s | 1383 ms | 8K |
| Agentic Coding | A | Runs well | 140.0 tok/s | 2012 ms | 8K |
| Reasoning | B | Runs well | 140.0 tok/s | 1634 ms | 8K |
| RAG | A | Runs well | 140.0 tok/s | 2515 ms | 8K |
How Gemma 2 27B (27B params) fits at each quantization level on AMD Instinct MI300A 128GB (128.0 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 10.5 GB | Low | B58 |
Q3_K_S | 3 | 13.2 GB | Low | B58 |
NVFP4 | 4 |
Copy-paste commands to run Gemma 2 27B on your machine.
Run
ollama run gemma2:27bYes, AMD Instinct MI300A 128GB can run Gemma 2 27B with a B grade (Runs well). Expected decode speed: 140.0 tok/s.
Gemma 2 27B (27B parameters) requires approximately 41.4 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 MI300A 128GB, Gemma 2 27B achieves approximately 140.0 tokens per second decode speed with a time-to-first-token of 1383ms using Q4_K_M quantization.
For coding workloads, Gemma 2 27B on AMD Instinct MI300A 128GB receives a B grade with 140.0 tok/s and 8K context.
On AMD Instinct MI300A 128GB, 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-mi300a-128gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
15.1 GB |
| Medium |
| B58 |
Q4_K_M | 4 | 16.5 GB | Medium | B58 |
Q5_K_M | 5 | 19.4 GB | High | B59 |
Q6_K | 6 | 22.1 GB | High | B59 |
Q8_0 | 8 | 28.9 GB | Very High | B60 |
F16Best for your GPU | 16 | 55.4 GB | Maximum | B64 |