Audry Hsu Demonstrates a Serverless LLM Endpoint

AI Engineer13m 26s
Audry Hsu beside the words LLM Endpoints.
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    Audry Hsu introduces infrastructure options for model deployment and explains the distinction between persistent containers and serverless workersServerless computing lets a provider start and manage the workers that run application code on demand. that scale with demand.

    Audry Hsu demonstrates configuring an LLM endpoint, selecting model settings and worker limits, sending a request and observing initialization and execution times. The demonstration uses RunPod’s interface.

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    Audry Hsu beside the words LLM Endpoints. With WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 7 June 2026 and duration 13m 26s.

    Audry Hsu demonstrates a serverless LLM deployment and explains worker scaling and cold starts.