# Deploy

- [모델 또는 Workflow 배포](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/deployment-overview.md): Roboflow에서 학습했거나 업로드한 workflow와 모델을 배포하는 방법을 알아보세요.
- [지원되는 모델](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models.md): Roboflow로 배포할 수 있는 모든 모델입니다.
- [SAM3](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/sam3.md): Serverless Hosted API를 통해 Meta의 SAM3 모델을 사용합니다.
- [Serverless Hosted API](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2.md): Roboflow 클라우드의 GPU 가속 자동 확장 인프라에서 Workflows와 Model Inference를 실행합니다.
- [Workflow에서 사용](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/use-in-a-workflow.md): Roboflow Workflows에서 Serverless Hosted API를 사용할 수 있습니다.
- [REST API와 함께 사용](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/use-with-the-rest-api.md)
- [Python SDK와 함께 사용](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/use-with-python-sdk.md): Python SDK로 Roboflow의 Serverless Hosted API를 사용합니다.
- [가격](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/pricing.md): Serverless Hosted API 가격 페이지
- [Serverless Video Streaming API](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-video-streaming-api.md): Roboflow Cloud에서 라이브 비디오에 Roboflow Workflows를 실행합니다. WebRTC를 통해 웹캠, RTSP 카메라 또는 비디오 파일에서 입력을 스트리밍하고, 추론 결과를 애플리케이션으로 다시 받습니다.
- [Batch Processing](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing.md)
- [API 레퍼런스](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing/api-reference.md): Batch Processing 엔드포인트용 REST API 레퍼런스입니다.
- [CLI 사용](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing/cli-usage.md): Roboflow CLI를 사용해 Batch Processing 작업을 생성하고 관리합니다.
- [문제 해결](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing/troubleshooting.md): 타임아웃, SAHI 성능, OOM 오류를 포함한 일반적인 Batch Processing 문제를 해결하세요.
- [Dedicated Deployments](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments.md): Roboflow로 전용 서버에서 Vision 모델을 실행하세요
- [Dedicated Deployment 만들기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/create-a-dedicated-deployment.md): Roboflow 웹 인터페이스 또는 CLI에서 Dedicated Deployment를 만들 수 있습니다.
- [Dedicated Deployment 일시 중지 및 재개](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/pause-and-resume-a-dedicated-deployment.md)
- [Dedicated Deployment 삭제](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/delete-a-dedicated-deployment.md)
- [Dedicated Deployment에 요청 보내기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/make-requests-to-a-dedicated-deployment.md): Python SDK, HTTP API 또는 Workflows 웹 인터페이스를 사용해 Dedicated Deployment에 직접 요청할 수 있습니다.
- [API로 Dedicated Deployment 관리](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/manage-dedicated-deployments-with-an-api.md): HTTP API를 사용해 Dedicated Deployment를 관리합니다.
- [Managed Deployments](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/roboflow-managed-deployments-overview.md)
- [Self-Hosted Deployment](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/self-hosted-deployment.md): 자체 하드웨어에서 Roboflow 모델과 Workflows를 실행할 수 있습니다.
- [기타 SDK](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks.md)
- [Python inference-sdk](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/python-inference-sdk.md): inference-sk에 대한 정보
- [웹 브라우저](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser.md)
- [웹 inference.js](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference.js.md): 브라우저에서 edge 환경으로 실시간 예측을 실행합니다. inference.js를 사용하세요.
- [inferencejs 레퍼런스](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference.js/inferencejs-reference.md): Roboflow로 만든 컴퓨터 비전 애플리케이션을 웹/JavaScript 환경에 배포하기 위한 엣지 라이브러리인 \`inferencejs\` 레퍼런스입니다.
- [inferencejs 요구 사항](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference.js/inferencejs-requirements.md): \`inferencejs\` 실행 요구 사항
- [웹 inference-sdk](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference-sdk.md): 브라우저에서 실시간 비디오 추론을 실행하고, Roboflow 클라우드에서 inference-sdk를 사용합니다.
- [Lens Studio](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/lens-studio.md): Snap Lens를 구축하는 데 사용할 수 있도록 모델을 Lens Studio에 배포합니다.
- [변경 로그 - Lens Studio](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/lens-studio/changelog-lens-studio.md): Lens Studio 통합의 공개 변경 사항 목록입니다.
- [Luxonis OAK](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/luxonis-oak.md): Myriad X VPU 가속을 사용하는 OpenCV AI Kit에 Roboflow Train 모델을 배포합니다.
- [OpenMV](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/openmv.md): 컴퓨터 비전 모델을 매우 저전력의 엣지 카메라에 배포합니다.
- [iOS SDK](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/ios-sdk.md): 학습한 Roboflow 모델을 iOS 앱에 배포합니다.
- [사용자 정의 모델 가중치 업로드](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/upload-custom-weights.md): Roboflow는 모델 배포를 위해 사용자 정의 학습 모델의 가중치를 Roboflow 프로젝트에 업로드할 수 있는 기능을 제공합니다.
- [모델 가중치 다운로드](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/download-roboflow-model-weights.md): Roboflow 모델을 자체 하드웨어에서 실행하려면 Roboflow Inference(권장되는 자동 방법)를 사용하거나, 특정 예외 상황에서는 Model Weights를 수동으로 다운로드할 수 있습니다.
- [Enterprise 배포](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment.md)
- [License Server](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment/license-server.md): Roboflow License server를 사용해 Roboflow Deployment 서버의 필요한 라우트를 회사 DMZ로 프록시할 수 있습니다.
- [오프라인 모드](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment/offline-mode.md): Roboflow Enterprise 고객은 모델을 오프라인으로 배포할 수 있습니다.
- [Kubernetes](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment/kubernetes.md): Kubernetes에서 Roboflow Inference 시작하기
- [Docker Compose](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment/docker-compose.md): Docker Compose를 통해 Roboflow inference server를 다른 Docker 컨테이너와 함께 실행해 멀티 컨테이너 애플리케이션을 구축합니다.
- [Deployment Manager](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager.md): 엣지 하드웨어에 배포된 컴퓨터 비전 모델을 관리하고 모니터링합니다.
- [설정](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up.md)
- [하드웨어 요구 사항](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up/hardware-requirements.md)
- [디바이스 추가](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up/add-a-device.md): Deployment Manager를 사용해 Workflow를 배포하는 데 필요한 모든 항목으로 디바이스를 설정합니다.
- [스트림 추가](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up/add-a-stream.md): Workflow 실행에 사용할 수 있는 스트림을 구성하는 방법을 알아보세요.
- [유지보수 창 설정](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up/setup-maintenance-windows.md)
- [디바이스 알림 설정](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up/set-up-device-alerts.md)
- [모니터링](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring.md)
- [스트림 보기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring/view-a-stream.md): Deployment Manager로 구성된 Stream을 보는 방법을 알아보세요.
- [디바이스 로그 보기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring/view-device-logs.md)
- [리소스 모니터 보기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring/view-the-resource-monitor.md)
- [변경하기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes.md)
- [디바이스 구성 업데이트](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/update-device-configuration.md)
- [Deployment Manager 재배포](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/redeploy-deployment-manager.md)
- [Device Manager용 API 키](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/api-keys-for-device-manager.md)
- [스트림 종료](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/delete-a-stream.md)
- [스트림 일시 중지 및 재개](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/stop-a-stream.md)
- [디바이스 삭제](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/delete-a-device.md)
- [Model Monitoring](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/model-monitoring.md): Roboflow로 Model Monitoring을 사용하는 가이드입니다.
- [알림](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/model-monitoring/alerting.md)
- [Vision Events](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events.md): 배포된 컴퓨터 비전 모델이 실제 환경에서 보는 것을 기록, 검색, 분석합니다.
- [사용 사례](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/use-cases.md): Use Cases를 사용해 목적별로 Vision Events를 그룹화합니다.
- [이벤트 전송](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/send-events.md): 배포된 모델에서 Vision Events를 전송하는 세 가지 방법입니다.
- [이벤트 쿼리](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/query-events.md): 대시보드와 API를 통해 Vision Events를 검색, 필터링, 탐색합니다.
- [학습용 이미지 추가](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/add-images-for-training.md): Vision Events의 이미지를 학습을 위해 Roboflow 프로젝트로 전송합니다.


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