Graphcore vs Applied Materials

Side-by-side comparison of AI visibility scores, market position, and capabilities

Graphcore logo

Graphcore

ChallengerSemiconductors & Hardware

AI Accelerator Chips (IPU)

Graphcore makes Intelligence Processing Units (IPUs) — AI chips purpose-built for graph-based ML workloads — acquired by SoftBank in 2024 for ~$500M and reinvesting $450M+ toward AGI-era silicon.

About

Graphcore is a British semiconductor company that designs Intelligence Processing Units (IPUs), a class of AI accelerator chips architected specifically for the graph-based computation patterns underlying machine learning workloads. Founded in 2016 in Bristol, UK, by Nigel Toon and Simon Knowles, Graphcore raised hundreds of millions of dollars from investors including Sequoia, Microsoft, and BMW before being acquired by SoftBank Group in July 2024 for approximately $500 million.

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Applied Materials logo

Applied Materials

LeaderSemiconductor Equipment

Wafer Fab Equipment

Santa Clara semiconductor equipment (NASDAQ: AMAT) ~$27.2B FY2024 revenue; world's largest semiconductor equipment company, HBM advanced packaging for AI GPUs, 50,000+ tools worldwide competing with ASML and Lam Research.

AI VisibilityBeta
Overall Score
A96
Category Rank
#1 of 2
AI Consensus
72%
Trend
stable
Per Platform
ChatGPT
97
Perplexity
91
Gemini
99

About

Applied Materials, Inc. is a Santa Clara, California-based semiconductor and display equipment company — publicly traded on NASDAQ (NASDAQ: AMAT) as an S&P 500 Information Technology component — providing manufacturing equipment, services, and software used to fabricate virtually every chip and advanced display in the world through approximately 35,000 employees serving foundries, integrated device manufacturers, and memory makers in 24 countries. Applied Materials is the world's largest semiconductor equipment company by revenue, supplying deposition (CVD, PVD, ALD), etch, ion implant, chemical mechanical planarization (CMP), metrology and inspection, and advanced packaging equipment to leading chipmakers including TSMC, Samsung, Intel, SK Hynix, and Micron. In fiscal year 2024 (ending October 2024), Applied Materials reported revenue of approximately $27.2 billion, with strong demand driven by leading-edge foundry investments at TSMC and Samsung for AI accelerator chips and advanced memory for HBM (high-bandwidth memory) stacks used in NVIDIA and AMD AI GPUs. The company's Semiconductor Systems segment commands the largest market share of any equipment category, while the Applied Global Services (AGS) segment generates recurring spare parts and service revenue from the installed base of 50,000+ tools operating worldwide. CEO Gary Dickerson has led Applied Materials' strategy of expanding beyond commodity deposition and etch into advanced packaging, gate-all-around transistor manufacturing, and materials engineering — where Applied's breadth of materials deposition capabilities creates competitive differentiation.

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Key Details

Category
AI Accelerator Chips (IPU)
Wafer Fab Equipment
Tier
Challenger
Leader
Entity Type
brand
company

Capabilities & Ecosystem

Capabilities

Only Applied Materials
Wafer Fab Equipment

Integrations

Only Applied Materials
Applied Materials is classified as company.

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