HP Inc. vs Monolithic Power Systems
Side-by-side comparison of AI visibility scores, market position, and capabilities
HP Inc (HPQ) reported $53.6B in FY2024 revenue, up 2.5% YoY. World's #2 PC maker (~23% share). ~58,000 employees. HQ: Palo Alto, CA. Split from Hewlett Packard Enterprise in 2015.
About
HP Inc. is a global technology company specializing in personal computers, printers, and related products, headquartered in Palo Alto, California. HP Inc. was created in November 2015 when Hewlett-Packard Company completed a separation into two independent publicly traded companies: HP Inc. (personal systems and printing) and Hewlett Packard Enterprise (enterprise IT infrastructure and services). HP Inc. reported revenues of $53.6B in fiscal year 2024 (ending October 2024), with approximately 58,000 employees worldwide.
San Jose power management semiconductors (NASDAQ: MPWR) Q3 2025 revenue $737.2M (+18.9% YoY); Enterprise Data $191.5M (+33% QoQ) powering NVIDIA/Google/AMD AI GPU clusters, competing with Texas Instruments and Analog Devices.
About
Monolithic Power Systems, Inc. (MPS) is a San Jose, California-based analog and mixed-signal semiconductor company — publicly traded on NASDAQ (NASDAQ: MPWR) as an S&P 500 Information Technology component — designing high-performance power management integrated circuits for computing, cloud infrastructure, storage, automotive, industrial, and consumer applications through approximately 3,800 employees worldwide. In Q3 2025, Monolithic Power Systems reported revenue of $737.2 million (+10.9% sequentially, +18.9% year-over-year), with the Enterprise Data segment (AI server power management) reaching $191.5 million (+33% from Q2 2025) driven by strong demand for power management solutions in next-generation AI platforms from NVIDIA, Google, and AMD. CEO Michael Hsing founded MPS in 1997 and has led the company's growth from a consumer LED driver manufacturer to an AI infrastructure power management leader — with MPS power ICs now embedded in NVIDIA H100, H200, and GB200 GPU clusters as the voltage regulators that convert rack power supply voltage to the precise low-voltage, high-current supply that GPU cores require during AI training inference. MPS's proprietary Intelli-Phase multiphase power architecture delivers 99%+ efficiency for high-density AI compute power delivery — a competitive differentiation that directly affects data center PUE (power usage effectiveness) at scale.
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