Browse use cases
Speech-to-Text Pipelines with Whisper
A hands-on build of a transcription pipeline on RunPod that takes audio or video in bulk and returns clean, speaker-labelled, searchable transcripts. It covers picking the right Whisper model and GPU, speeding up inference, splitting long files, separating speakers, cleaning up output, and running it as a Serverless endpoint so you only pay while files are processing.
Abhineet Dubey
AI Engineer crafting autonomous solutions
Deploy Your Own AI Model on RunPod
Live walkthrough of deploying open-source models on RunPod serverless with vLLM workers, Docker, and autoscaling - or bring your deployment setup for a GPU sizing and cost-optimization audit.
Abhineet Dubey
AI Engineer crafting autonomous solutions
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