Can Command A 111B run on AMD Instinct MI350X 288GB?

YES — Runs Great

S90Excellent

○Estimated from fit model

Command A 111B needs ~101.3 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~86 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) — 101.3 GB, 94.2 tok/s, Runs well

101.3 GB required288.0 GB available

35% VRAM used

Fit status

Runs well

Decode

94.2 tok/s

TTFT

2056 ms

Safe context

262K

Memory

101.3 GB / 288.0 GB

Memory breakdown

Weights67.7 GB

KV Cache3.9 GB

Runtime0.9 GB

Headroom28.8 GB

See how fast it feels

See how fast it feelsCommand A 111B on AMD Instinct MI350X 288GB
1st promptCold start — includes initialization
>Write a Python function to sort a list
Here's a Python function that sorts a list using quicksort:

def quicksort(arr):
 if len(arr) <= 1:
 return arr
 pivot = arr[len(arr) // 2]
 left = [x for x in arr if x < pivot]
 middle = [x for x in arr if x == pivot]
 right = [x for x in arr if x > pivot]
 return quicksort(left) + middle + quicksort(right)

# Example usage
numbers = [3, 6, 8, 10, 1, 2, 1]
print(quicksort(numbers)) # [1, 1, 2, 3, 6, 8, 10]

The algorithm picks a pivot, partitions the list into smaller, equal, and larger elements, then recursively sorts each partition and concatenates the results.
2nd promptWarm — model ready, no init overhead
>Now add type hints and a docstring
def quicksort(arr: list[int]) -> list[int]:
 """Sort a list using the quicksort algorithm.

 Args:
 arr: List of integers to sort.

 Returns:
 A new sorted list.
 """
 if len(arr) <= 1:
 return arr
 pivot = arr[len(arr) // 2]
 left = [x for x in arr if x < pivot]
 middle = [x for x in arr if x == pivot]
 right = [x for x in arr if x > pivot]
 return quicksort(left) + middle + quicksort(right)

Added type hints for the input and return type, plus a Google-style docstring.
Estimated: 94.2 tok/s decode · 2.1s TTFT (warm) · 235 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	S	Runs well	86.3 tok/s	1224 ms	262K
Coding	S	Runs well	86.3 tok/s	2245 ms	262K
Agentic Coding	S	Runs well	86.3 tok/s	3265 ms	262K
Reasoning	S	Runs well	86.3 tok/s	2653 ms	262K
RAG	S	Runs well	86.3 tok/s	4081 ms	262K

Quantization options

How Command A 111B (111B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	43.3 GB	Low	A79
Q3_K_S	3	54.4 GB	Low	A80
NVFP4	4

Get started

Copy-paste commands to run Command A 111B on your machine.

Run

ollama run command-a

Your hardware

More models your AMD Instinct MI350X 288GB can run

Model	Params	Grade	Decode	Capabilities
👁 Alibaba Qwen 3.5 397B A17B	397B	S	78.9 tok/s
👁 Mistral Devstral 2 123B Instruct	123B	S

Frequently asked questions

See all results for AMD Instinct MI350X 288GB See all hardware for Command A 111B

URL: https://willitrunai.com/can-run/command-a-111b-on-instinct-mi350x-288gb

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