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    ForgeGuard Faster Whisper Server

    A container-native, OpenAI-compatible speech-to-text server built on faster-whisper and CTranslate2. Point any OpenAI audio SDK at it and transcribe or translate on hardware you control — nothing about a request leaves the container.

    ForgeGuard Faster Whisper Server web console

    • An HTTP service exposing /v1/audio/transcriptions and /v1/audio/translations, plus a small set of operational and admin routes.
    • Distributed as container images and a Helm chart only — there is no supported bare-metal install path.
    • Published for x86_64 NVIDIA GPUs (CUDA cu128) and NVIDIA Jetson Orin (JetPack 6), each baking a default Whisper model so there are no downloads at container start.
    • Conservative with sensitive data by default: transcripts stay out of the logs, and uploaded audio lives only in a per-request temporary file.
    • Quickstart — run a container, verify health and readiness, and make your first transcription request.
    • Container deployment — the single-container path with volumes, GPU flags, and environment.
    MethodIntended useGuide
    ContainerLocal testing and single-service deploymentContainer
    Docker ComposeDurable single-host operationCompose
    PortainerManaged remote Docker environmentsPortainer
    Kubernetes (Helm)Cluster and production deploymentKubernetes
    Jetson OrinEdge / on-device deploymentHardware profiles

    Current release 1.1.0. Versioned releases and immutable container tags are recommended for persistent deployments; :latest tracks the newest stable release. Real-time streaming and additional inference backends (AMD ROCm, Intel) are planned but not yet available. See Upgrades for the release and tagging policy.