ON Semiconductor vs NVIDIA
Side-by-side comparison of AI visibility scores, market position, and capabilities
Scottsdale AZ SiC power and image sensors (NASDAQ: ON) ~$6.8B FY2024 revenue; EliteSiC EV powertrains, $4B+ LTSAs, 30K employees, post-destocking recovery competing with Wolfspeed and STMicroelectronics.
About
ON Semiconductor Corporation (onsemi) is a Scottsdale, Arizona-based intelligent power and sensing technology company — publicly traded on the NASDAQ (NASDAQ: ON) as an S&P 500 Information Technology component — designing and manufacturing silicon carbide (SiC) power semiconductors, intelligent power modules, image sensors, and analog and mixed-signal ICs for electric vehicles, industrial automation, energy infrastructure, and automotive safety applications through approximately 30,000 employees at fabrication facilities in New Hampshire, Oregon, Czech Republic, Slovakia, South Korea, and Malaysia. In fiscal year 2024, ON Semiconductor reported revenues of approximately $6.8 billion (down from the 2023 peak of $8.3 billion) as the EV semiconductor supply chain underwent significant inventory destocking — automakers (Tesla, GM, Ford, Stellantis, European OEMs) who overstocked EV power semiconductors during the 2022-2023 supply shortage worked through accumulated SiC MOSFET inventory rather than placing new orders, creating a revenue trough at ON Semiconductor and competitors (Wolfspeed, STMicroelectronics, Infineon). CEO Hassane El-Khoury's "Intelligent Power" strategy — pivoting onsemi from a broad-based analog/discrete semiconductor company toward automotive and industrial SiC focus — has concentrated the portfolio on the highest-growth, highest-margin applications (EV powertrains consuming 15-20 SiC MOSFETs per vehicle at $100-200/device, versus $5-10 for traditional silicon IGBT modules) where onsemi's EliteSiC MOSFET technology achieves the switching frequency and efficiency that enables smaller battery packs with longer range.
H200/GB200/Blackwell GPU family powering 90%+ of AI training workloads; $130B+ quarterly revenue run-rate; $3T+ market cap; 85% of revenue from AI compute. Every major AI company — OpenAI, Anthropic, Google, Meta, xAI — runs on NVIDIA hardware.
About
NVIDIA Corporation is a Santa Clara, California-based semiconductor and AI computing company — publicly traded on the NASDAQ (NASDAQ: NVDA) as an S&P 500 Information Technology component and member of the Dow Jones Industrial Average — designing and supplying graphics processing units (GPUs), AI accelerators, networking infrastructure, and computing platforms for data center AI training and inference, gaming, professional visualization, and automotive applications through approximately 36,000 employees worldwide. In fiscal year 2025 (ending January 2025), NVIDIA reported revenues of $130.5 billion (+114% year-over-year) — driven by unprecedented demand for H100 and H200 AI GPU clusters from hyperscale cloud providers (Microsoft Azure, Amazon Web Services, Google Cloud), AI-native companies (OpenAI, Anthropic, xAI, Cohere), and enterprise AI deployments — making NVIDIA the fastest-growing large-cap company in recorded history and the third-most-valuable company globally (market capitalization exceeding $3 trillion in 2024-2025). CEO Jensen Huang has led NVIDIA's transformation from a gaming GPU company into the foundational infrastructure provider for the artificial intelligence economy: NVIDIA's CUDA (Compute Unified Device Architecture) software platform — developed since 2006 — has accumulated 4+ million developers, 4,000+ GPU-accelerated applications, and a decade of AI research papers, libraries, and frameworks (PyTorch, TensorFlow, cuDNN) optimized for NVIDIA hardware, creating the most powerful software moat in technology. The Blackwell GPU architecture (B100, B200, GB200 — launched 2024, ramping production in 2025) delivers 5x training performance improvement over the H100, sustaining NVIDIA's generational performance advantage that justifies continued AI capital expenditure at $300-500 billion annual industry pace.
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