Design a Video Generation Service with GPU Fleet Management

Quick Overview

Design an asynchronous video generation service centered on GPU fleet scheduling. Define durable job states, model and artifact versions, resource-aware placement, leases, checkpointing, autoscaling, moderation, bounded retries, cancellation, idempotent publication, and cost controls.

Design a Video Generation Service with GPU Fleet Management

Company: OpenAI

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Technical Screen

Overview: Design an asynchronous video generation service centered on GPU fleet scheduling. Define durable job states, model and artifact versions, resource-aware placement, leases, checkpointing, autoscaling, moderation, bounded retries, cancellation, idempotent publication, and cost controls.

|Home/ML System Design/OpenAI
OpenAI logo
OpenAI
Jul 3, 2026
mediumSoftware EngineerTechnical ScreenML System Design
7
0
Loading...

Submit Your Answer to Earn 20XP

Sign in to leave a comment

Loading comments...