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docs(minimax-m3): use published AMD ROCm images (#28777)

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Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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zijiexia
2026-06-23 07:48:16 +01:00
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co-authored by Claude Opus 4.8
parent 7e6587c94a
commit 52a90c9a36
2 changed files with 6 additions and 6 deletions
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docs_new/cookbook/autoregressive/MiniMax/MiniMax-M3.mdx
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@@ -39,7 +39,7 @@ Then run the **Python** output of the command panel below in that environment. T
docker pull lmsysorg/sglang:dev-cu13-minimax-m3
```
The command panel below fills in the right tag per platform: `dev-cu13-minimax-m3` (CUDA 13 — B300, GB200, GB300), `dev-cu12-minimax-m3` (CUDA 12 — Hopper H200), or `dev-minimax-m3` (default). On AMD Instinct it uses the matching ROCm image (MI300X/MI325X → `…-rocm700-mi30x`, MI350X/MI355X → `…-rocm720-mi35x`). For how to launch the image, see [Install → Method 3: Using Docker](../../../docs/get-started/install#method-3-using-docker), substituting the inner `sglang serve ...` with what the command generator produces.
The command panel below fills in the right tag per platform: `dev-cu13-minimax-m3` (CUDA 13 — B300, GB200, GB300), `dev-cu12-minimax-m3` (CUDA 12 — Hopper H200), or `dev-minimax-m3` (default). On AMD Instinct it uses the matching ROCm image (MI300X/MI325X → `aigmkt/minimax-m3-sglang-rocm700-mi30x`, MI350X/MI355X → `aigmkt/minimax-m3-sglang-rocm720-mi35x`). For how to launch the image, see [Install → Method 3: Using Docker](../../../docs/get-started/install#method-3-using-docker), substituting the inner `sglang serve ...` with what the command generator produces.
<Note>
These M3 dev images now **bundle MiniMax's MSA sparse-attention kernel** (`fmha_sm100`), so Blackwell users get the recommended fast path automatically — no manual install needed (see **§2.1**). On a custom image without it, the same recipe still serves on the built-in Triton sparse path.