Real-time Inference Service Deployment

deploymentChallenge

Prompt Content

Develop a real-time inference service (e.g., using FastAPI) that exposes your trained model to detect anomalies from incoming telemetry data streams. The service should provide a low-latency API endpoint. Dockerize your application to ensure portability and scalability. Describe how you would integrate Groq for accelerated inference if using compatible models.

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