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chore(whisperx): drop ROCm/hipblas build target (#9474)
whisperx has no upstream AMD GPU support and its core transcription path (faster-whisper -> ctranslate2) falls back to CPU on AMD since the PyPI ctranslate2 is CUDA-only. The torch rocm wheels would accelerate only the alignment/diarization stages, producing a misleadingly half-working image. Drop the hipblas variant rather than shipping a partially accelerated build users can't distinguish from the real thing. AMD hosts now fall through the capability map to cpu-whisperx / cpu-whisperx-development. Also removes the now-dangling rocm-whisperx assertion from pkg/system/capabilities_test.go and the ROCm mention from the whisperx row in docs/content/reference/compatibility-table.md. Assisted-by: Claude Code:claude-opus-4-7
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@@ -33,7 +33,7 @@ LocalAI will attempt to automatically load models which are not explicitly confi
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| [whisper.cpp](https://github.com/ggml-org/whisper.cpp) | OpenAI Whisper in C/C++ | CPU, CUDA 12/13, ROCm, Intel SYCL, Vulkan, Metal, Jetson L4T |
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| [faster-whisper](https://github.com/SYSTRAN/faster-whisper) | Fast Whisper with CTranslate2 | CUDA 12/13, ROCm, Intel, Metal |
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| [WhisperX](https://github.com/m-bain/whisperX) | Word-level timestamps and speaker diarization | CPU, CUDA 12/13, ROCm, Metal |
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| [WhisperX](https://github.com/m-bain/whisperX) | Word-level timestamps and speaker diarization | CPU, CUDA 12/13, Metal |
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| [moonshine](https://github.com/moonshine-ai/moonshine) | Ultra-fast transcription for low-end devices | CPU, CUDA 12/13, Metal |
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| [voxtral](https://github.com/mudler/voxtral.c) | Voxtral Realtime 4B speech-to-text in C | CPU, Metal |
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| [Qwen3-ASR](https://github.com/QwenLM/Qwen3-ASR) | Qwen3 automatic speech recognition | CPU, CUDA 12/13, ROCm, Intel, Metal, Jetson L4T |
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