Interview, Explained
In-depth breakdowns of tech interviews — section-by-section analysis with diagrams, quotes, and insights.
Anne Hecht on why autonomous agents only pay off when governed
NVIDIA's Anne Hecht explains how enterprises deploy autonomous agents safely: treat each agent as a whole system, engineer the guardrails in from the start, and run open and frontier models side by side.
Jensen Huang on why learning is the greatest superpower
At YC Startup School 2026, Jensen Huang argues that Nvidia's founding technology was flat wrong, that the durable edge across 34 years and $5 trillion was never any chip but the willingness to confront what he didn't know and learn it fast.
Sydney Sykes on why strategic fit wins partnerships
Sydney Sykes, who runs Nvidia's VC alliances, breaks down how startups win corporate partnerships — by aligning to priorities, not by having the best tech — and how founders should build a cap table of realists and dreamers.
Jensen Huang on the Factory That Turns Electricity Into Intelligence
In a fireside chat at Wistron's U.S. plant, Jensen Huang recasts data centers as AI factories that turn electricity into intelligence tokens, argues this new industrial layer will become as fundamental to society as agriculture and railroads, and ties it to reindustrializing American manufacturing.
NVIDIA Engineers on Why Agents Scaled Only After They Got a Sandbox
Two NVIDIA engineers walk through the AI factory they built for themselves — a slow, long-lived stack underneath, a workload layer that churns on top, and a secure workspace in between that finally let agents run unattended, while internal demand grew to four trillion tokens a month.
Gilad Shainer on why the AI factory needs four networks, not one
NVIDIA's networking chief argues an AI factory needs four purpose-built networks — not off-the-shelf Ethernet — to turn a datacenter full of GPUs into a single supercomputer.
Jensen Huang on Why AI Companies Win by Co-Designing the Whole AI Factory
Jensen Huang reasons from first principles that AI has turned the computer from a retrieval warehouse into a token-generating factory, so NVIDIA now co-designs the entire AI factory instead of just the GPU, riding four compounding scaling laws toward a future he treats as already inevitable.