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Nvidia Forecasts 77% Q1 Revenue Jump to $78 Billion Amid AI Boom

Nvidia projects 77% Q1 revenue growth to $78B as AI infrastructure demand rises, Samsung hikes DRAM prices, AMD raises prices, and sector outlook improves.

Alex Mercer/3 min/US

Senior Tech Correspondent

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The 3 Best Artificial Intelligence (AI) Growth Stocks to Buy on the Nasdaq Before Q1 Earnings Season

The 3 Best Artificial Intelligence (AI) Growth Stocks to Buy on the Nasdaq Before Q1 Earnings Season

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Nvidia predicts a 77% jump in fiscal Q1 revenue to roughly $78 billion as AI infrastructure spending accelerates, while Samsung’s DRAM price hikes and AMD’s recent price increase signal broader semiconductor strength.

ASML and Taiwan Semiconductor Manufacturing reported strong quarterly results, highlighting relentless demand for equipment and foundry (chip manufacturing) services that support AI chip production.

Hyperscalers (large cloud providers) are increasing data‑center capital expenditures (capex) this year, and TSMC said its biggest customer, Nvidia, is experiencing order backlogs that exceed current factory capacity.

These signals suggest that AI‑related companies may continue to see robust top‑line growth, even as investors remain cautious about stock price reactions to earnings beats.

Nvidia guided its fiscal Q1 revenue to climb 77% year over year to about $78 billion, with management noting the final figure could approach $80 billion.

Samsung announced it doubled DRAM (dynamic random access memory) prices in the first quarter and added another 30% increase in the second quarter, according to ETNews.

AMD raised its prices last month, a move expected to improve its margins and provide a tailwind amid GPU (graphics processing units) and CPU supply constraints.

Nvidia’s forecast reflects its central role in supplying GPUs (graphics processing units) that power AI workloads, a position reinforced by its shift toward selling full rack solutions for specific tasks.

Higher DRAM (dynamic random access memory) prices benefit memory makers such as Micron and Samsung, boosting gross margins as AI servers require more high‑bandwidth memory (HBM).

AMD’s price increase helps offset its smaller GPU market share while supporting its CPU business, which is also seeing heightened demand from agentic AI (AI that can act autonomously) workloads.

Overall, semiconductor firms with direct exposure to AI infrastructure may experience improved profitability, provided supply chains can keep pace with rising orders.

Investors will watch Micron’s upcoming earnings, any further DRAM price adjustments, and AMD’s MI450 GPU rollout for clues on whether the current momentum can sustain through the rest of the year.

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