Can Granite Code 8B run on AMD Instinct MI350X 288GB?

YES — Runs Great

B70Good

○Estimated from fit model

Granite Code 8B needs ~36.5 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With Q4_K_M quantization, expect ~112 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) — 36.5 GB, 112.0 tok/s, Runs well

36.5 GB required288.0 GB available

13% VRAM used

Fit status

Runs well

Decode

112.0 tok/s

TTFT

1729 ms

Safe context

Memory

36.5 GB / 288.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.0 GB

Runtime0.9 GB

Headroom28.8 GB

See how fast it feels

See how fast it feelsGranite Code 8B 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: 112.0 tok/s decode · 1.7s TTFT (warm) · 280 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	112.0 tok/s	943 ms	8K
Coding	B	Runs well	112.0 tok/s	1729 ms	8K
Agentic Coding	B	Runs well	112.0 tok/s	2514 ms	8K
Reasoning	B	Runs well	112.0 tok/s	2043 ms	8K
RAG	B	Runs well	112.0 tok/s	3143 ms	8K

Quantization options

How Granite Code 8B (8B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	B61
Q3_K_S	3	3.9 GB	Low	B61
NVFP4	4	4.5 GB	Medium	B61
Q4_K_M	4	4.9 GB	Medium	B61
Q5_K_M	5	5.8 GB	High	B61
Q6_K	6	6.6 GB	High	B61
Q8_0	8	8.6 GB	Very High	B61
F16Best for your GPU	16	16.4 GB	Maximum	B61

Get started

Copy-paste commands to run Granite Code 8B on your machine.

Run

ollama run granite-code:8b

Frequently asked questions

See all results for AMD Instinct MI350X 288GB See all hardware for Granite Code 8B

URL: https://willitrunai.com/can-run/granite-code-8b-on-instinct-mi350x-288gb

⇱ Granite Code 8B on AMD Instinct MI350X 288GB? YES