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Design YouTube (Video Sharing) at NVIDIA — System Design Interview Guide

How to design Design YouTube (Video Sharing) in a NVIDIA system design interview: scale considerations, what NVIDIA interviewers probe, and company-specific deep dives.

Updated 2026-09Hard

The problem at NVIDIA

  • Functional: upload videos, watch with adaptive quality, search, like/comment/subscribe, get recommendations.
  • Non-functional: fast upload + processing, low startup latency, high availability, massive scale.
  • Scale: ~500 hours uploaded/minute, ~2B users, ~1B hours watched/day.
  • Consistency: view/like counts can be eventually consistent (sampled counters); a video must be playable once processed.

Out of scope (covered in detail below)

Live streaming, Shorts, the ads auction, comments moderation at scale, and Content ID — deferred and discussed in the dedicated section.

At NVIDIA, this problem is framed around systems, performance, and parallel thinking. Expect NVIDIA-specific scale numbers and a focus on production readiness and the company's engineering bar.

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