Applied Digital Welcomes Laura Laltrello as Chief Operating Officer

Executive Appointment - Applied Digital Corporation appoints Laura Laltrello as Chief Operating Officer (COO) to strengthen its leadership in next-generation data centers and digital cloud solutions at the forefront of the AI revolution [1] - Laura Laltrello brings nearly 20 years of executive leadership experience, expertise in data center operations, building technologies, and large-scale infrastructure projects [2] - The appointment is expected to enhance the company's strategic vision execution and operational alignment with long-term objectives [3] Laura Laltrello's Background - Most recently, Laura Laltrello served as Vice President and General Manager of Building Automation Services at Honeywell International Inc [3] - She has a proven track record in operations, strategic execution, and profit management, having led transformative projects for global technology leaders [3] - Laura Laltrello holds a Bachelor of Applied Science degree in Applied Mathematics: Operations Research and Economics from Clemson University and completed the Executive Leadership Program at the International Institute for Management Development [3] Employment Inducement Award - Laura Laltrello was granted 600,000 time-based restricted stock units (RSUs) as part of her employment inducement award, with an effective grant date of January 6, 2025 [4] - The RSUs will vest over a three-year period, subject to continuous employment on each applicable vesting date [4] - The award was approved by the company's Board of Directors on December 27, 2024, and granted outside of the company's equity incentive plan in accordance with Nasdaq Rule 5635(c)(4) [5] Company Overview - Applied Digital Corporation develops, builds, and operates next-generation data centers and cloud infrastructure, specializing in accelerated compute, secure and scalable digital hosting, and GPU-as-a-Service solutions [6] - The company's purpose-built facilities are designed to support AI/ML, blockchain, and high-performance computing (HPC) workloads, backed by deep hyperscale expertise and a robust pipeline of available power [6]