Can Gemma 2 27B run on AMD Instinct MI250X 128GB?

YES — Runs Great

B68Good

Estimated from fit model

Gemma 2 27B needs ~41.4 GB VRAM. AMD Instinct MI250X 128GB has 128.0 GB. With Q4_K_M quantization, expect ~99 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: HighStack: StandardBottleneck: Balanced

Operating mode

Choose the run profile you care about

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.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 41.4 GB, 98.9 tok/s, Runs well

41.4 GB required128.0 GB available

32% VRAM used

Fit status

Runs well

Decode

98.9 tok/s

TTFT

1958 ms

Safe context

Memory

41.4 GB / 128.0 GB

Memory breakdown

Weights16.5 GB

KV Cache11.2 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsGemma 2 27B on AMD Instinct MI250X 128GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 98.9 tok/s decode · 2.0s TTFT (warm) · 247 tok/s prefill

What limits this setup

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.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	B	Runs well	98.9 tok/s	1068 ms	8K
Coding	B	Runs well	98.9 tok/s	1958 ms	8K
Agentic Coding	A	Runs well	98.9 tok/s	2848 ms	8K
Reasoning	B	Runs well	98.9 tok/s	2314 ms	8K
RAG	A	Runs well	98.9 tok/s	3560 ms	8K

Quantization options

How Gemma 2 27B (27B params) fits at each quantization level on AMD Instinct MI250X 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	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

Get started

Copy-paste commands to run Gemma 2 27B on your machine.

Run

ollama run gemma2:27b

Frequently asked questions

Can AMD Instinct MI250X 128GB run Gemma 2 27B?

Yes, AMD Instinct MI250X 128GB can run Gemma 2 27B with a B grade (Runs well). Expected decode speed: 98.9 tok/s.

How much VRAM does Gemma 2 27B need?

Gemma 2 27B (27B parameters) requires approximately 41.4 GB of memory with Q4_K_M quantization.

What is the best quantization for Gemma 2 27B?

The recommended quantization for Gemma 2 27B is Q4_K_M, which balances quality and memory efficiency.

What speed will Gemma 2 27B run at on AMD Instinct MI250X 128GB?

On AMD Instinct MI250X 128GB, Gemma 2 27B achieves approximately 98.9 tokens per second decode speed with a time-to-first-token of 1958ms using Q4_K_M quantization.

Can AMD Instinct MI250X 128GB run Gemma 2 27B for coding?

For coding workloads, Gemma 2 27B on AMD Instinct MI250X 128GB receives a B grade with 98.9 tok/s and 8K context.

What context window can Gemma 2 27B use on AMD Instinct MI250X 128GB?

On AMD Instinct MI250X 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.

See all results for AMD Instinct MI250X 128GB See all hardware for Gemma 2 27B

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