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A recent survey by Deloitte reveals that more than 70 percent of enterprise IT leaders anticipate operating scaled AI factories by 2028.
This expectation indicates a near doubling of current AI adoption rates as organizations move from isolated pilot projects to production-level inference and advanced agentic AI solutions. The surge in scaled implementation is also driving a significant increase in token demand, underscoring the accelerating role of artificial intelligence in enterprise infrastructure. The transition from experimentation to full-scale deployment marks a crucial shift in how enterprises plan to leverage AI technology over the next several years.
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Penguin Solutions Inc. previously cautioned that AI infrastructure is facing performance bottlenecks due to server memory limits, which is accelerating interest in CXL technology as a mitigation strategy (full story). Earlier this year, traders cited the persistence of these memory constraints as a key factor in the recent surge of Penguin Solutions’ stock price (details here). These developments highlight the ongoing challenges enterprises may encounter as they expand AI capabilities at scale.