Can Mixtral 8x22B run on AMD Instinct MI250 128GB?

YES — Runs Great

B69Good

Estimated from fit model

Mixtral 8x22B needs ~103.1 GB VRAM. AMD Instinct MI250 128GB has 128.0 GB. With Q4_K_M quantization, expect ~53 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) — 103.1 GB, 52.6 tok/s, Runs well

103.1 GB required128.0 GB available

81% VRAM used

Fit status

Runs well

Decode

52.6 tok/s

TTFT

3682 ms

Safe context

66K

Memory

103.1 GB / 128.0 GB

Memory breakdown

Weights86.0 GB

KV Cache3.4 GB

Runtime0.9 GB

Headroom12.8 GB

See how fast it feels

See how fast it feelsMixtral 8x22B on AMD Instinct MI250 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: 52.6 tok/s decode · 3.7s TTFT (warm) · 131 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	52.6 tok/s	2008 ms	66K
Coding	B	Runs well	52.6 tok/s	3682 ms	66K
Agentic Coding	B	Tight fit	52.6 tok/s	5356 ms	66K
Reasoning	B	Runs well	52.6 tok/s	4352 ms	66K
RAG	B	Tight fit	52.6 tok/s	6695 ms	66K

Quantization options

How Mixtral 8x22B (141B params) fits at each quantization level on AMD Instinct MI250 128GB (128.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	55.0 GB	Low	B59
Q3_K_S	3	69.1 GB	Low	B61
NVFP4	4

Get started

Copy-paste commands to run Mixtral 8x22B on your machine.

Run

ollama run mixtral:8x22b

Upgrade options

Hardware that runs Mixtral 8x22B well

NVIDIA H200 141GBBudget pick

141 GB VRAM (+13)4800 GB/s (+1600)

Raises estimated decode speed by about 85%.97.4 tok/s decode

Raises estimated decode speed by about 85%.

~$30,000 MSRP

NVIDIA H200 PCIe 141GBBest value

141 GB VRAM (+13)4800 GB/s (+1600)

Raises estimated decode speed by about 85%.97.4 tok/s decode

Raises estimated decode speed by about 85%.

~$30,000 MSRP

Frequently asked questions

Can AMD Instinct MI250 128GB run Mixtral 8x22B?

Yes, AMD Instinct MI250 128GB can run Mixtral 8x22B with a B grade (Runs well). Expected decode speed: 52.6 tok/s.

How much VRAM does Mixtral 8x22B need?

Mixtral 8x22B (141B parameters) requires approximately 103.1 GB of memory with Q4_K_M quantization.

What is the best quantization for Mixtral 8x22B?

The recommended quantization for Mixtral 8x22B is Q4_K_M, which balances quality and memory efficiency.

What speed will Mixtral 8x22B run at on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Mixtral 8x22B achieves approximately 52.6 tokens per second decode speed with a time-to-first-token of 3682ms using Q4_K_M quantization.

Can AMD Instinct MI250 128GB run Mixtral 8x22B for coding?

For coding workloads, Mixtral 8x22B on AMD Instinct MI250 128GB receives a B grade with 52.6 tok/s and 66K context.

What context window can Mixtral 8x22B use on AMD Instinct MI250 128GB?

On AMD Instinct MI250 128GB, Mixtral 8x22B can safely use up to 66K tokens of context. The model's official context limit is 66K, but available memory constrains the safe maximum.

See all results for AMD Instinct MI250 128GB See all hardware for Mixtral 8x22B

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