NVIDIA warns rising memory and optical costs could squeeze H2 gross margins
NVIDIA cautioned that rising component costs may compress gross margins in H2, while reports highlight its deep exposure to hyperscaler training demand and strategic ties to AI labs and SpaceX that influence future chip volumes and pricing.
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NVIDIA warned rising memory and optical-component costs could compress H2 gross margins.
Management signaled a shift of emphasis from pure sales volume to handling higher procurement expense.
The comment is presented as a company-level cost-pressure disclosure affecting near-term profitability metrics.
TradingView cited InvestorPlace/Dow Jones that NVIDIA invested heavily in AI (noting past figures) and that delays or reduced IPOs at those firms could cut chip demand.
The summary flags NVIDIA’s concentration risk tied to a relatively small set of hyperscalers and major AI lab customers.
Reuters reporting (included in the compilation) said training OpenAI’s GPT-6 Astra used ~100,000 NVIDIA GPUs and the next model will need about four times as many, implying large GPU demand.
The same compilation reports NVIDIA chips were chosen for SpaceX orbital computing with initial satellites targeted for 2027 and further rollouts in 2028.