Ranked by oldest founded · 25 of 40 on the roster
Broadcom designs custom AI accelerators for hyperscalers (Google TPU) and supplies networking silicon critical to AI cluster interconnects.
Tokyo Electron supplies deposition, etch, and cleaning equipment to semiconductor fabs, ranking second globally in wafer fab equipment.
Applied Materials is the largest semiconductor equipment maker, supplying deposition, etching, and metrology tools to every major fab.
Intel designs x86 CPUs and operates Intel Foundry Services, pursuing both internal products and third-party manufacturing at scale.
AMD designs CPUs and AI accelerators including the MI300 series, competing directly with Nvidia in data-center AI workloads.
KLA provides process control and yield management systems that inspect and measure defects during semiconductor manufacturing.
Micron produces DRAM, NAND, and HBM for AI and data-center applications, competing with Samsung and SK Hynix.
Lam Research supplies etch and deposition equipment essential for manufacturing advanced logic and memory chips.
Samsung operates the world's second-largest semiconductor foundry and manufactures memory, competing with TSMC and SK Hynix.
SK Hynix manufactures high-bandwidth memory (HBM) that sits on every leading AI accelerator, plus DRAM and NAND for data centers.
ASML holds a global monopoly on extreme ultraviolet (EUV) lithography systems required to manufacture chips at 7nm and below.
Qualcomm designs mobile SoCs, edge AI chips, and automotive silicon, bringing AI inference to devices outside the data center.
Synopsys provides electronic design automation (EDA) software and IP that nearly every chip company uses to design semiconductors.
TSMC is the world's largest contract chipmaker, manufacturing over 90% of the world's most advanced chips including Nvidia and Apple silicon.
Cadence provides EDA software and system design tools used to design advanced chips, boards, and systems across the semiconductor industry.
Arm licenses CPU architectures and IP used in nearly every mobile device and increasingly in data-center and AI chips.
Nvidia designs GPUs and AI accelerators that power the vast majority of frontier model training and inference workloads.
Marvell designs custom AI silicon for hyperscalers and supplies data-center networking, storage, and interconnect chips.
Ambarella (NASDAQ: AMBA) designs low-power edge-AI vision SoCs — CV3-AD and N1 — for automotive ADAS, security cameras, and robotics.
GlobalFoundries operates fabs focused on specialty and mature-node semiconductors for automotive, IoT, and RF applications.
Mythic develops analog compute-in-memory chips for edge AI inference, targeting industrial, defense, and automotive applications.
Navitas manufactures gallium nitride (GaN) power semiconductors that increase efficiency in data-center power supplies and AI systems.
Ayar Labs develops chiplet-based optical I/O solutions that replace electrical interconnects in AI and HPC systems.
SiFive licenses RISC-V processor IP and builds custom silicon solutions for AI, automotive, and data-center customers.
Cerebras builds wafer-scale AI chips with millions of cores optimized for large-scale model training and inference.
