Gotrade News - AI infrastructure stocks rallied Thursday after Snowflake (SNOW) surged 36.55% on a blowout quarter. The move lifted sentiment across data, compute, and accelerator names tied to enterprise AI spending.
Investors read the print as evidence that AI workload demand is still expanding into the cloud data layer. Analysts also raised targets on chipmakers, reinforcing the bull case for the broader AI infrastructure complex.
Key Takeaways
- Snowflake shares jumped 36.55% after Q1 revenue rose 33% to $1.39 billion.
- Baird set AMD at $625 and UBS tripled Micron to $1,625, signaling broad AI upside.
- Nvidia closed near $214, anchoring steady demand across the AI infrastructure stack.
According to The Motley Fool, Snowflake reported first-quarter revenue of $1.39 billion, up 33% year over year. Management raised full-year product revenue guidance to 31% growth at $5.84 billion, lifting it from a prior 27% outlook.
The company also lifted its adjusted operating margin guidance to 13.5% from 12.5%, signaling improving profitability. High-value customers with over $1 million in trailing twelve-month product revenue grew 29% to 779 accounts.
Why The AI Infrastructure Trade Is Heating Up
The Snowflake beat highlighted accelerating AI adoption across its installed base, including new tools Cortex Code and Snowflake Intelligence. That readout reinforced the view that enterprise AI workloads continue to fuel demand for cloud data infrastructure.
Sentiment also extended to accelerator and memory names central to AI training and inference. As reported by The Motley Fool, Baird set a $625 price target on AMD, implying about 25% upside on the stock.
The firm cited AMD's positioning in inference and agentic AI, with large GPU deals reportedly worth over $100 billion each. That framing pushes AMD deeper into the AI hardware narrative long dominated by Nvidia (NVDA).
Per the same report, UBS tripled its Micron price target to $1,625 from $535, implying roughly 80% upside from current levels. Micron trades at 8.6 times forward fiscal 2027 earnings despite rallying more than 800% over the past year.
Compute, Data, And Power Demand Stay Tight
The drivers behind those upgrades are high-bandwidth memory demand and sustained capex from hyperscalers chasing AI capacity. Nvidia closed near $214, with steady AI demand framing the broader infrastructure rally across chips and cloud platforms.
The capacity buildout is also flowing to neoclouds and data center landlords supporting model training. Names like Nebius Group (NBIS) sit closer to the GPU-as-a-service layer that benefits from the same demand curve lifting Snowflake and Nvidia.
For investors, the session reinforced that the AI trade is broadening beyond a single accelerator stock. Data platforms, memory, and GPU compute are now moving together as the infrastructure layer scales with enterprise adoption.
Risks remain around valuation and execution, particularly for names trading at elevated forward multiples. Still, raised guidance from Snowflake and upgraded targets across chips suggest the AI capex cycle has room to run into the second half.
