> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/roboflow/roboflow-ko/deploy.md).

# 배포

- [모델 또는 Workflow 배포](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/deployment-overview.md): Roboflow에서 학습했거나 업로드한 workflows와 models를 배포하는 방법을 알아보세요.
- [지원되는 모델](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models.md): Roboflow로 배포할 수 있는 모든 모델입니다.
- [RF-DETR](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/rf-detr.md): Serverless Hosted API를 통해 Roboflow의 RF-DETR 모델을 사용하세요
- [Roboflow 3.0](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/roboflow-3.md): Serverless Hosted API를 통해 Roboflow 3.0 모델 패밀리를 사용하세요
- [YOLOLite](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yololite.md): Serverless Hosted API를 통해 YOLOlite 모델 패밀리를 사용하세요
- [Cosmos 3 Edge](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/cosmos-3-edge.md): NVIDIA의 Cosmos 3 Edge 비전-언어 월드 모델을 Serverless Hosted API를 통해 사용하세요
- [Qwen3.5](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/qwen3-5.md): Workflows, Dedicated Deployment 또는 자체 호스팅 Inference를 통해 Alibaba의 Qwen3.5-VL 비전-언어 모델을 사용하세요
- [GLM-OCR](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/glm-ocr.md): Serverless Hosted API를 통해 GLM-OCR을 이미지 OCR에 사용하세요
- [SAM3](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/sam3.md): Serverless Hosted API를 통해 Meta의 SAM3 모델을 사용하세요
- [YOLO26](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolo26.md): Serverless Hosted API를 통해 YOLO26 모델 패밀리를 사용하세요
- [Qwen3-VL](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/qwen3-vl.md): Serverless Hosted API를 통해 Alibaba의 Qwen3-VL 비전-언어 모델을 사용하세요
- [Dino v3](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/dino-v3.md): Serverless Hosted API를 통해 Roboflow에서 학습된 DINOv3 분류 모델을 실행하세요
- [Roboflow Instant](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/roboflow-instant.md): Serverless Hosted API를 통해 Roboflow Instant few-shot 객체 탐지 모델을 실행하세요.
- [Perception Encoder](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/perception-encoder.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 Meta의 Perception Encoder를 사용해 이미지 및 텍스트 임베딩을 계산하세요
- [SmolVLM2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/smolvlm2.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 HuggingFace의 SmolVLM2 비전-언어 모델을 사용하세요
- [YOLOv12](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolov12.md): Serverless Hosted API를 통해 YOLOv12 객체 탐지 모델을 사용하세요
- [PaliGemma 2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/paligemma2.md): Serverless Hosted API를 통해 Google의 PaliGemma 2 비전-언어 모델을 사용하세요
- [YOLO11](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolo11.md): Serverless Hosted API를 통해 YOLO11 모델 패밀리를 사용하세요
- [SAM2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/sam2.md): Serverless Hosted API를 통해 Meta의 SAM2 모델을 사용하세요
- [Florence 2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/florence-2.md): Serverless Hosted API를 통해 Microsoft의 Florence 2 멀티모달 모델을 사용하세요
- [Depth Anything V2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/depth-anything-v2.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 Depth Anything V2를 단안 깊이 추정에 사용하세요
- [Moondream2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/moondream2.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 Moondream2를 개방형 어휘 탐지에 사용하세요
- [YOLOv9](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolov9.md): Serverless Hosted API를 통해 YOLOv9 객체 탐지를 사용하세요
- [YOLO-World](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolo-world.md): Serverless Hosted API를 통해 YOLO-World 개방형 어휘 객체 탐지를 사용하세요
- [OwlV2](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/owlv2.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 OwlV2를 원샷 객체 탐지에 사용하세요
- [Grounding DINO](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/grounding-dino.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 Grounding DINO를 텍스트 프롬프트 객체 탐지에 사용하세요
- [YOLOv7](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/yolov7.md): Serverless Hosted API를 통해 YOLOv7 인스턴스 분할을 사용하세요
- [Roboflow 2.0](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/roboflow-2.md): Serverless Hosted API를 통해 Roboflow 2.0 의미론적 분할 모델을 사용하세요
- [L2Cs-Net](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/l2cs-net.md): Serverless Hosted API를 통해 L2Cs-Net 시선 감지 모델을 사용하세요
- [TrOCR](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/trocr.md): Dedicated Deployment 또는 자체 호스팅 Inference에서 Microsoft의 TrOCR을 텍스트 인식에 사용하세요
- [DocTR](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/doctr.md): Serverless Hosted API를 통해 DocTR OCR 모델을 사용하세요
- [CLIP](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/clip.md): Serverless Hosted API를 통해 OpenAI의 CLIP 모델을 사용하세요
- [ViT](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/vit.md): Serverless Hosted API를 통해 Roboflow에서 학습된 ViT 분류 모델을 실행하세요
- [EasyOCR](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/easyocr.md): Serverless Hosted API를 통해 EasyOCR 다국어 OCR 모델을 사용하세요
- [ResNet](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/supported-models/resnet.md): Serverless Hosted API를 통해 ResNet 이미지 분류를 사용하세요
- [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 실행하세요.
- [Workflow에서 사용](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/use-in-a-workflow.md): Serverless Hosted API를 Roboflow Workflows와 함께 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): Roboflow의 Serverless Hosted API를 Python SDK와 함께 사용하세요
- [요금](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-hosted-api-v2/pricing.md): Serverless Hosted API 요금 페이지
- [Serverless Video Streaming API](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/serverless-video-streaming-api.md): Roboflow Cloud에서 라이브 비디오에 대해 Roboflow Workflows를 실행하세요. WebRTC를 통해 웹캠, RTSP 카메라 또는 비디오 파일에서 입력을 스트리밍하고 애플리케이션으로 추론 결과를 다시 받으세요.
- [배치 처리](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing.md)
- [App에서 Workflows 실행](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing/run-from-the-app.md): Roboflow 앱에서 필요할 때 또는 Datasource가 클라우드 버킷을 미러링할 때마다 자동으로 Batch Processing 작업을 시작하세요.
- [API 참조](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing/api-reference.md): Batch Processing 엔드포인트에 대한 REST API 참조입니다.
- [CLI 사용법](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/batch-processing/cli-usage.md): Roboflow CLI를 사용하여 Batch Processing 작업을 생성하고 관리하세요.
- [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 비전 모델 실행하기
- [Dedicated Deployment 생성](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/dedicated-deployments/create-a-dedicated-deployment.md): Roboflow 웹 인터페이스 또는 CLI에서 Dedicated Deployment를 생성할 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 SDK를 직접 사용하거나 HTTP API를 사용하거나 Workflows 웹 인터페이스를 사용하여 Dedicated Deployment에 요청을 보낼 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 사용하여 전용 배포를 관리하세요.
- [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): inference.js로 브라우저의 엣지에서 실시간 예측을 실행하세요
- [inferencejs 참조](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference.js/inferencejs-reference.md): Roboflow로 구축한 컴퓨터 비전 애플리케이션을 웹/JavaScript 환경에 배포하기 위한 엣지 라이브러리인 \`inferencejs\`에 대한 참조입니다
- [inferencejs 요구 사항](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference.js/inferencejs-requirements.md): \`inferencejs\` 실행을 위한 요구 사항
- [웹 inference-sdk](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/web-browser/web-inference-sdk.md): 브라우저에서 실시간 비디오 추론을 실행하세요. Roboflow 클라우드에서 실행되며 inference-sdk를 사용합니다.
- [Lens Studio](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/lens-studio.md): Snap Lens를 만드는 데 사용하기 위해 모델을 Lens Studio에 배포하세요.
- [변경 로그 - Lens Studio](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/lens-studio/changelog-lens-studio.md): Lens Studio 통합에 대한 공개 변경 사항 목록
- [Luxonis OAK](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/luxonis-oak.md): Myriad X VPU 가속을 사용하여 Roboflow Train 모델을 OpenCV AI Kit에 배포하세요.
- [OpenMV](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/openmv.md): 매우 저전력 엣지 카메라에 컴퓨터 비전 모델을 배포하세요.
- [iOS SDK](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/sdks/ios-sdk.md): 학습한 Roboflow 모델을 iOS 앱에 배포하세요
- [사용자 지정 Model Weights 업로드](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/upload-custom-weights.md): Roboflow는 사용자 지정으로 학습한 모델의 model weights를 Roboflow 프로젝트에 업로드하여 모델 배포할 수 있는 기능을 제공합니다.
- [Model Weights 다운로드](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/download-roboflow-model-weights.md): 자체 하드웨어에서 Roboflow 모델을 실행하려면 Roboflow Inference(권장되는 자동 방식)를 사용하거나, 직접 Model Weights를 다운로드할 수 있습니다(특정 예외 상황용).
- [Enterprise Deployment](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment.md)
- [Secure Gateway](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment/secure-gateway.md): Secure Gateway는 Roboflow Deployment 서버에 필요한 경로를 회사의 DMZ로 프록시하고, 모델 가중치와 컨테이너 이미지를 로컬에 캐시합니다.
- [License Server (사용 중단)](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/enterprise-deployment/license-server.md): Roboflow License 서버를 사용하여 Roboflow Deployment 서버에 필요한 경로를 회사의 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 사용하여 Roboflow inference 서버를 다른 Docker 컨테이너와 함께 실행하고 멀티 컨테이너 애플리케이션을 구축하세요.
- [Deployment Manager](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager.md): 엣지 하드웨어에 배포된 컴퓨터 비전 모델을 관리하고 모니터링하세요.
- [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 사용하여 Workflow를 배포하는 데 필요한 모든 항목으로 디바이스를 설정하세요.
- [Stream 추가](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/setting-up/add-a-stream.md): Workflow를 실행하는 데 사용할 수 있는 stream을 구성하는 방법을 알아보세요.
- [유지 관리 기간 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)
- [Stream 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)
- [디바이스 활동 보기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring/view-device-activity.md)
- [Resource Monitor 보기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring/view-the-resource-monitor.md)
- [Event Store 상태 보기](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/monitoring/view-event-store-status.md)
- [변경 사항 적용](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)
- [AI1 카메라 설정 구성](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/configure-ai1-camera-settings.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)
- [스트림 트리거](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/trigger-a-stream.md): 트리거된 스트림의 최신 프레임을 대상으로 필요할 때 Workflow를 실행하세요.
- [PoE 포트 소프트 리셋](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/soft-reset-poe-port.md)
- [디바이스 네트워크 구성](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/configure-device-network.md)
- [카메라에 고정 IP 설정](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/set-camera-static-ip.md)
- [디바이스 삭제](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/making-changes/delete-a-device.md)
- [PLC Relay](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/device-manager/plc-relay.md): PLC Relay를 구성하여 Allen-Bradley, Modbus TCP 또는 Siemens S7을 통해 PLC 태그를 읽고 쓰세요.
- [액티브 러닝](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/active-learning.md): 운영 환경의 추론 데이터를 수집하여 검토와 재학습을 통해 모델을 지속적으로 개선합니다.
- [모델 모니터링](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/model-monitoring.md): Roboflow의 모델 모니터링 가이드.
- [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): 배포한 컴퓨터 비전 모델이 실제 환경에서 보는 것을 기록, 검색, 분석하세요.
- [Use Cases](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/use-cases.md): Use Cases를 사용해 Vision Events를 목적별로 그룹화하세요.
- [이벤트 전송](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/send-events.md): 배포된 모델에서 Vision Events를 전송하는 세 가지 방법입니다.
- [이벤트 조회](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/query-events.md): 대시보드와 API를 통해 Vision Events를 검색, 필터링, 탐색하세요
- [이벤트 삭제](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/delete-events.md): 대시보드 또는 API를 통해 Use Case에서 Vision Events를 제거하세요.
- [운영자 피드백](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/operator-feedback.md): 운영자가 Vision Events를 검토하고 정확함, 부정확함 또는 판단 불가로 표시할 수 있게 하세요.
- [학습용 이미지 추가](https://docs.roboflow.com/roboflow/roboflow-ko/deploy/vision-events/add-images-for-training.md): Vision Events의 이미지를 학습을 위한 Roboflow 프로젝트로 보내세요.