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NVIDIA hardware, software, and developer news.
The New York Times, citing five employees, reported Huang had a relationship with Kimberly Powell, Nvidia’s VP of healthcare and his direct report. Unlike the murky spy story, a CEO dating a subordinate is a clear governance problem, and within hours the board was reportedly preparing to oust him.
Bloomberg reports Congress is preparing to subpoena Nvidia’s CEO after he didn’t agree to a closed-door briefing about Megaspeed executive Alice Huang. Moolenaar set an end-of-day deadline on Fox Business, and Brian Mast said his committee is preparing one.
Nvidia and Google are pushing an AI bill of materials into GPU clusters, a dull-sounding fix for a real problem: nobody can secure models they can't see running.
WIRED’s Garrett Graff asks how the most-targeted executive in tech could miss a well-documented Chinese intelligence tactic. The allegations are untested, but the gap is clear: chip and AI companies treated as strategic assets lack defense-style security cultures.
With Wachtell, Lipton hired and no precedent for a CEO in a suspected honeypot, professors Ann Lipton and Todd Henderson map Nvidia’s legal pressure points: securities fraud is “only about lying,” Delaware claims are harder, and no dual-class shares means the board can act.
Nvidia’s COP31 post profiles AIRECO, EverestLabs AI, Greyparrot and reverse.fashion, which use cameras and robots to identify and pull valuable material off fast belts. The payoffs they report are physical and measurable, but self-reported, and the labor and data questions matter.
The Verge's experts measure the Huang scandal in the AI race's scarcest currency, time, and land on an irony: the episode may end up handing Washington the chip-control law Nvidia fought.
Laid end to end, the Huang timeline reads less like a sudden scandal and more like a slow compliance failure, with warnings landing at Nvidia's customer gate for two years.
Handing its agent-security runtime to a neutral foundation is the right move for NVIDIA, and it quietly sets the terms for how autonomous agents get fenced in on Kubernetes.
NVIDIA is shrinking a reasoning driving model to run inside the car, and the honest hard part is proving a smaller model's explanations still match what it actually does.
Agents spend most of their lives waiting, and Kubernetes was built for services that never stop; NVIDIA's open-source Agent Substrate is a serious attempt to fix that mismatch.
Cutting inference cold starts from minutes to seconds sounds like an ops footnote, but it changes how quickly AI capacity can follow demand and recover from failure.