Cloud transcription APIs charge per minute and send every recording you own to a third-party server. If that audio needs to stay private, or your transcription volume makes per-minute fees add up, self-hosting OpenAI's Whisper on your own dedicated server solves both problems.
This guide covers:
- Picking the right Whisper model for your VRAM budget (tiny through large-v3/turbo)
- faster-whisper — the recommended runtime for most production deployments
- whisper.cpp — best for CPU-only or lightweight servers
- whisper-asr-webservice — a ready-made REST API with Docker images for CPU/GPU
- WhisperX — adding word-level timestamps and speaker diarization
- Common install errors (CUDA/cuDNN mismatches, out-of-memory fixes, Python version issues)
👉 Read the full step-by-step tutorial: https://www.fitservers.com/tutorials/howto/install-whisper-dedicated-server-2026/
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