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Xient Radar · Our read
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GTC is not a trade fair; it is the annual metronome of the AI industry. What Jensen Huang shows in the opening keynote sets the agenda for the next twelve months - for boards, analysts and competitors alike, from new chip generations to robotics to what data centers will cost. If you want to understand where the cost curve and the capabilities of AI infrastructure are heading, this is the primary source rather than the retelling.
The rest of the event is a developer conference in the best sense: thousands of technical sessions where practitioners show what actually runs today - not what runs in press releases.
The densest concentration of AI infrastructure decision-makers anywhere: hyperscalers, the chip ecosystem, research labs, plus the enterprise teams planning their first GPU clusters. European technology leaders are a minority here - which tends to make conversations easier, not harder.
Anyone taking AI infrastructure decisions with a horizon beyond one year: build or buy, which hardware generation, which dependencies. And anyone who wants to judge the maturity of topics like agentic or physical AI first-hand instead of taking an analyst's word for it.
If you are looking for concrete use cases for your own business function, European industry conferences deliver more applicable material per travel day. GTC answers "where is the field going", not "what do we implement next quarter".
We use GTC for calibration: what counts as standard there reaches European enterprises with a one-to-two-year delay - and that delay can be planned for. Whether your own starting position can carry that plan is what we assess soberly: AI Readiness Assessment.