# Deploy

- [एक Model या Workflow deploy करें](/roboflow/roboflow-hi/deploy/deployment-overview.md): जानें कि Roboflow पर trained या uploaded workflows और models कैसे deploy करें।
- [Supported Models](/roboflow/roboflow-hi/deploy/supported-models.md): Roboflow के साथ deploy किए जा सकने वाले सभी models।
- [SAM3](/roboflow/roboflow-hi/deploy/supported-models/sam3.md): हमारे Serverless Hosted API के माध्यम से Meta के SAM3 model का उपयोग करें
- [Serverless Hosted API](/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2.md): Roboflow cloud में GPU-accelerated auto-scaling infrastructure पर Workflows और Model Inference चलाएं।
- [एक Workflow में उपयोग करें](/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/use-in-a-workflow.md): आप Roboflow Workflows के साथ Serverless Hosted API का उपयोग कर सकते हैं।
- [REST API के साथ उपयोग करें](/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/use-with-the-rest-api.md)
- [Python SDK के साथ उपयोग करें](/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/use-with-python-sdk.md): Python SDK के साथ Roboflow के Serverless Hosted API का उपयोग करें
- [Pricing](/roboflow/roboflow-hi/deploy/serverless-hosted-api-v2/pricing.md): Serverless Hosted API Pricing page
- [Serverless Video Streaming API](/roboflow/roboflow-hi/deploy/serverless-video-streaming-api.md): Roboflow Cloud में live video पर Roboflow Workflows चलाएं। Webcams, RTSP cameras, या video files से WebRTC के माध्यम से input stream करें और inference results वापस अपने application में प्राप्त करें।
- [Batch Processing](/roboflow/roboflow-hi/deploy/batch-processing.md)
- [API Reference](/roboflow/roboflow-hi/deploy/batch-processing/api-reference.md): Batch Processing endpoints के लिए REST API reference।
- [CLI Usage](/roboflow/roboflow-hi/deploy/batch-processing/cli-usage.md): Batch Processing jobs बनाने और manage करने के लिए Roboflow CLI का उपयोग करें।
- [Troubleshooting](/roboflow/roboflow-hi/deploy/batch-processing/troubleshooting.md): timeouts, SAHI performance, और OOM errors सहित सामान्य Batch Processing issues को troubleshoot करें।
- [Dedicated Deployments](/roboflow/roboflow-hi/deploy/dedicated-deployments.md): Roboflow के साथ अपने Vision Models को Dedicated Servers पर चलाएं
- [एक Dedicated Deployment बनाएं](/roboflow/roboflow-hi/deploy/dedicated-deployments/create-a-dedicated-deployment.md): आप Roboflow web interface में, या CLI में, एक Dedicated Deployment बना सकते हैं।
- [एक Dedicated Deployment pause और resume करें](/roboflow/roboflow-hi/deploy/dedicated-deployments/pause-and-resume-a-dedicated-deployment.md)
- [एक Dedicated Deployment delete करें](/roboflow/roboflow-hi/deploy/dedicated-deployments/delete-a-dedicated-deployment.md)
- [एक Dedicated Deployment को requests भेजें](/roboflow/roboflow-hi/deploy/dedicated-deployments/make-requests-to-a-dedicated-deployment.md): आप Python SDK, HTTP API, या Workflows web interface का उपयोग करके सीधे एक Dedicated Deployment को requests भेज सकते हैं।
- [API के साथ Dedicated Deployments manage करें](/roboflow/roboflow-hi/deploy/dedicated-deployments/manage-dedicated-deployments-with-an-api.md): हमारे HTTP APIs का उपयोग करके अपना dedicated deployment manage करें।
- [Self-Hosted Deployment](/roboflow/roboflow-hi/deploy/self-hosted-deployment.md): आप अपने खुद के hardware पर Roboflow models और Workflows चला सकते हैं।
- [Other SDKs](/roboflow/roboflow-hi/deploy/sdks.md)
- [Python inference-sdk](/roboflow/roboflow-hi/deploy/sdks/python-inference-sdk.md): inference-sk के बारे में जानकारी
- [Web Browser](/roboflow/roboflow-hi/deploy/sdks/web-browser.md)
- [Web inference.js](/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js.md): inference.js के साथ browser पर edge में realtime predictions चलाएं
- [inferencejs Reference](/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js/inferencejs-reference.md): \`inferencejs\` के लिए reference, जो Roboflow से बने computer vision applications को web/JavaScript environments में deploy करने के लिए एक edge library है
- [inferencejs Requirements](/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference.js/inferencejs-requirements.md): \`inferencejs\` चलाने के लिए आवश्यकताएं
- [Web inference-sdk](/roboflow/roboflow-hi/deploy/sdks/web-browser/web-inference-sdk.md): inference-sdk के साथ, Roboflow cloud पर चलते हुए, अपने browser से realtime video inference चलाएं
- [Lens Studio](/roboflow/roboflow-hi/deploy/sdks/lens-studio.md): Snap Lens बनाने में उपयोग के लिए एक model को Lens Studio पर deploy करें।
- [Changelog - Lens Studio](/roboflow/roboflow-hi/deploy/sdks/lens-studio/changelog-lens-studio.md): Lens Studio integration के लिए सार्वजनिक रूप से दिखने वाले changes की सूची
- [Luxonis OAK](/roboflow/roboflow-hi/deploy/sdks/luxonis-oak.md): अपने Roboflow Train model को Myriad X VPU acceleration के साथ अपने OpenCV AI Kit पर deploy करें।
- [OpenMV](/roboflow/roboflow-hi/deploy/sdks/openmv.md): अत्यंत कम power वाले edge cameras पर computer vision models deploy करें।
- [iOS SDK](/roboflow/roboflow-hi/deploy/sdks/ios-sdk.md): अपने trained Roboflow model को अपने iOS app में deploy करें
- [Upload Custom Model Weights](/roboflow/roboflow-hi/deploy/upload-custom-weights.md): Roboflow model deployment के लिए आपके custom-trained models के model weights को अपने Roboflow projects में upload करने की सुविधा प्रदान करता है।
- [Download Model Weights](/roboflow/roboflow-hi/deploy/download-roboflow-model-weights.md): अपने Roboflow models को अपने खुद के hardware पर चलाने के लिए, आप या तो Roboflow Inference (recommended, automatic method) का उपयोग कर सकते हैं या manually Model Weights download कर सकते हैं (specific edge cases के लिए)।
- [Enterprise Deployment](/roboflow/roboflow-hi/deploy/enterprise-deployment.md)
- [License Server](/roboflow/roboflow-hi/deploy/enterprise-deployment/license-server.md): आप आवश्यक routes को proxy करने के लिए Roboflow License server का उपयोग कर सकते हैं ताकि Roboflow Deployment servers आपके company के DMZ में जा सकें
- [Offline Mode](/roboflow/roboflow-hi/deploy/enterprise-deployment/offline-mode.md): Roboflow Enterprise customers models को offline deploy कर सकते हैं।
- [Kubernetes](/roboflow/roboflow-hi/deploy/enterprise-deployment/kubernetes.md): Kubernetes पर Roboflow Inference के साथ शुरुआत करें
- [Docker Compose](/roboflow/roboflow-hi/deploy/enterprise-deployment/docker-compose.md): Docker Compose के माध्यम से अपना multi-container application बनाने के लिए Roboflow inference server को अन्य docker containers के साथ चलाएं।
- [Deployment Manager](/roboflow/roboflow-hi/deploy/device-manager.md): edge hardware पर deployed computer vision models को manage और monitor करें।
- [Setting Up](/roboflow/roboflow-hi/deploy/device-manager/setting-up.md)
- [Hardware Requirements](/roboflow/roboflow-hi/deploy/device-manager/setting-up/hardware-requirements.md)
- [एक Device जोड़ें](/roboflow/roboflow-hi/deploy/device-manager/setting-up/add-a-device.md): Deployment Manager का उपयोग करके एक Workflow deploy करने के लिए आपकी ज़रूरत की हर चीज़ के साथ एक device set up करें।
- [एक Stream जोड़ें](/roboflow/roboflow-hi/deploy/device-manager/setting-up/add-a-stream.md): जानें कि एक stream को कैसे configure करें जिसका उपयोग आप एक Workflow चलाने के लिए कर सकते हैं।
- [Setup Maintenance Windows](/roboflow/roboflow-hi/deploy/device-manager/setting-up/setup-maintenance-windows.md)
- [Device Alerts set up करें](/roboflow/roboflow-hi/deploy/device-manager/setting-up/set-up-device-alerts.md)
- [Monitoring](/roboflow/roboflow-hi/deploy/device-manager/monitoring.md)
- [एक Stream देखें](/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-a-stream.md): जानें कि Deployment Manager के साथ configured एक Stream कैसे देखें।
- [Device Logs देखें](/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-device-logs.md)
- [Resource Monitor देखें](/roboflow/roboflow-hi/deploy/device-manager/monitoring/view-the-resource-monitor.md)
- [Making Changes](/roboflow/roboflow-hi/deploy/device-manager/making-changes.md)
- [Device Configuration अपडेट करें](/roboflow/roboflow-hi/deploy/device-manager/making-changes/update-device-configuration.md)
- [Deployment Manager redeploy करें](/roboflow/roboflow-hi/deploy/device-manager/making-changes/redeploy-deployment-manager.md)
- [Device Manager के लिए API Keys](/roboflow/roboflow-hi/deploy/device-manager/making-changes/api-keys-for-device-manager.md)
- [एक Stream terminate करें](/roboflow/roboflow-hi/deploy/device-manager/making-changes/delete-a-stream.md)
- [एक Stream pause और resume करें](/roboflow/roboflow-hi/deploy/device-manager/making-changes/stop-a-stream.md)
- [एक Device delete करें](/roboflow/roboflow-hi/deploy/device-manager/making-changes/delete-a-device.md)
- [Model Monitoring](/roboflow/roboflow-hi/deploy/model-monitoring.md): Roboflow के साथ Model Monitoring के लिए एक guide।
- [Alerting](/roboflow/roboflow-hi/deploy/model-monitoring/alerting.md)
- [Vision Events](/roboflow/roboflow-hi/deploy/vision-events.md): अपने deployed computer vision models production में क्या देखते हैं, उसे record, search, और analyze करें।
- [Use Cases](/roboflow/roboflow-hi/deploy/vision-events/use-cases.md): Use Cases का उपयोग करके Vision Events को purpose के अनुसार group करें।
- [इवेंट्स भेजें](/roboflow/roboflow-hi/deploy/vision-events/send-events.md): अपने deployed models से Vision Events भेजने के तीन तरीके।
- [Query Events](/roboflow/roboflow-hi/deploy/vision-events/query-events.md): dashboard में और API के माध्यम से Vision Events खोजें, filter करें, और browse करें