Can DeepSeek V4 Flash run on AMD Instinct MI350X 288GB?

YES — Runs Great

S98Excellent

Estimated from fit model

DeepSeek V4 Flash needs ~189.0 GB VRAM. AMD Instinct MI350X 288GB has 288.0 GB. With NVFP4 quantization, expect ~126 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

NVFP4 (Medium quality) — 189.0 GB, 125.8 tok/s, Runs well

189.0 GB required288.0 GB available

66% VRAM used

Fit status

Runs well

Decode

125.8 tok/s

TTFT

1539 ms

Safe context

1.0M

Memory

189.0 GB / 288.0 GB

Memory breakdown

Weights158.0 GB

KV Cache1.3 GB

Runtime0.9 GB

Headroom28.8 GB

See how fast it feels

See how fast it feelsDeepSeek V4 Flash 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: 125.8 tok/s decode · 1.5s TTFT (warm) · 315 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	125.8 tok/s	839 ms	1.0M
Coding	S	Runs well	125.8 tok/s	1539 ms	1.0M
Agentic Coding	S	Runs well	125.8 tok/s	2238 ms	1.0M
Reasoning	S	Runs well	125.8 tok/s	1819 ms	1.0M
RAG	S	Runs well	125.8 tok/s	2798 ms	1.0M

Quantization options

How DeepSeek V4 Flash (284B params) fits at each quantization level on AMD Instinct MI350X 288GB (288.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	110.8 GB	Low	S87
Q3_K_S	3	139.2 GB	Low	S89
NVFP4	4	159.0 GB	Medium	S90
Q4_K_M	4	173.2 GB	Medium	S90
Q5_K_M	5	204.5 GB	High	S90
Q6_KBest for your GPU	6	232.9 GB	High	S90
Q8_0	8	303.9 GB	Very High	F0
F16	16	582.2 GB	Maximum	F0

Get started

Copy-paste commands to run DeepSeek V4 Flash on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
  --hf-repo "deepseek-ai/DeepSeek-V4-Flash" \
  --hf-file "DeepSeek-V4-Flash-NVFP4.gguf" \
  -c 4096 -ngl 99

Your hardware

More models your AMD Instinct MI350X 288GB can run

Model	Params	Grade	Decode	Capabilities
Qwen 3.5 397B A17B	397B	S	78.9 tok/s

Frequently asked questions

Can AMD Instinct MI350X 288GB run DeepSeek V4 Flash?

Yes, AMD Instinct MI350X 288GB can run DeepSeek V4 Flash with a S grade (Runs well). Expected decode speed: 125.8 tok/s.

How much VRAM does DeepSeek V4 Flash need?

DeepSeek V4 Flash (284B parameters) requires approximately 189.0 GB of memory with NVFP4 quantization.

What is the best quantization for DeepSeek V4 Flash?

The recommended quantization for DeepSeek V4 Flash is NVFP4, which balances quality and memory efficiency.

What speed will DeepSeek V4 Flash run at on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, DeepSeek V4 Flash achieves approximately 125.8 tokens per second decode speed with a time-to-first-token of 1539ms using NVFP4 quantization.

Can AMD Instinct MI350X 288GB run DeepSeek V4 Flash for coding?

For coding workloads, DeepSeek V4 Flash on AMD Instinct MI350X 288GB receives a S grade with 125.8 tok/s and 1.0M context.

What context window can DeepSeek V4 Flash use on AMD Instinct MI350X 288GB?

On AMD Instinct MI350X 288GB, DeepSeek V4 Flash can safely use up to 1.0M tokens of context. The model's official context limit is 1.0M, but available memory constrains the safe maximum.

See all results for AMD Instinct MI350X 288GB See all hardware for DeepSeek V4 Flash

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