Cerebras builds wafer-scale AI chips with millions of cores optimized for large-scale model training and inference.

Etched builds application-specific chips hardwired to run transformer architectures with extreme performance and efficiency.

Groq builds Language Processing Units (LPUs) for ultra-low-latency LLM inference — the tech behind Nvidia's reported ~$20B Dec 2025 IP deal.

Rebellions is a Korean AI-chip unicorn behind the ATOM and REBEL inference accelerators, formed by its 2024 merger with SK Telecom's Sapeon.

AI Accelerators · Pre-IPO $400M

AI Accelerators

Pre-IPO

$400M

HQ

SambaNova builds dataflow AI accelerators and full-stack software for enterprise AI training and inference at scale.

d-Matrix builds in-memory compute chips optimized for efficient transformer inference at scale in data centers.

MatX, founded by ex-Google TPU engineers, designs chips optimized specifically for large language models, with first silicon due in 2027.

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.

Positron AI builds energy-efficient LLM inference appliances (Atlas) as a US-made, memory-bandwidth-optimized alternative to GPUs.

Axelera AI is a European edge-AI startup whose Metis chips use in-memory computing to run computer-vision inference at low power and cost.

Edge AI · Series C $250M

Edge AI

Series C

$250M

HQ

FuriosaAI is a Korean startup building energy-efficient AI inference chips (RNGD); it rebuffed an ~$800M Meta buyout to stay independent.

AI Accelerators · Series C Bridge $125M

AI Accelerators

Series C Bridge

$125M

HQ

Mythic develops analog compute-in-memory chips for edge AI inference, targeting industrial, defense, and automotive applications.

Lightmatter builds photonic processors and optical interconnects to accelerate AI compute and reduce data-center power consumption.

Astera Labs builds high-speed connectivity silicon — retimers, CXL controllers, and fabric switches — for AI and cloud data centers.

GlobalFoundries operates fabs focused on specialty and mature-node semiconductors for automotive, IoT, and RF applications.

SiMa.ai builds a software-centric edge-AI 'MLSoC' that runs computer-vision and ML workloads at low power for the embedded edge.

Hailo builds edge AI processors optimized for computer vision and neural network inference in automotive and industrial devices.

Edge AI · Series C $120M

Edge AI

Series C

$120M

HQ

Arm licenses CPU architectures and IP used in nearly every mobile device and increasingly in data-center and AI chips.

Tenstorrent designs open-source RISC-V AI processors and licenses chiplet IP for scalable AI compute.

AI Accelerators · Series D $693M

AI Accelerators

Series D

$693M

HQ

EnCharge AI develops in-memory compute chips for ultra-efficient AI inference at the edge and in data centers.

Navitas manufactures gallium nitride (GaN) power semiconductors that increase efficiency in data-center power supplies and AI systems.

Broadcom designs custom AI accelerators for hyperscalers (Google TPU) and supplies networking silicon critical to AI cluster interconnects.

TSMC is the world's largest contract chipmaker, manufacturing over 90% of the world's most advanced chips including Nvidia and Apple silicon.

Foundries · Market cap $2.1T

Foundries

Market cap

$2.1T

HQ

ASML holds a global monopoly on extreme ultraviolet (EUV) lithography systems required to manufacture chips at 7nm and below.

Lithography & Equipment · Market cap $671.2B

Lithography & Equipment

Market cap

$671.2B

HQ

Marvell designs custom AI silicon for hyperscalers and supplies data-center networking, storage, and interconnect chips.

Qualcomm designs mobile SoCs, edge AI chips, and automotive silicon, bringing AI inference to devices outside the data center.

Nvidia designs GPUs and AI accelerators that power the vast majority of frontier model training and inference workloads.

AMD designs CPUs and AI accelerators including the MI300 series, competing directly with Nvidia in data-center AI workloads.

Intel designs x86 CPUs and operates Intel Foundry Services, pursuing both internal products and third-party manufacturing at scale.

Applied Materials is the largest semiconductor equipment maker, supplying deposition, etching, and metrology tools to every major fab.

Ambarella (NASDAQ: AMBA) designs low-power edge-AI vision SoCs — CV3-AD and N1 — for automotive ADAS, security cameras, and robotics.

Cadence provides EDA software and system design tools used to design advanced chips, boards, and systems across the semiconductor industry.

KLA provides process control and yield management systems that inspect and measure defects during semiconductor manufacturing.

Lam Research supplies etch and deposition equipment essential for manufacturing advanced logic and memory chips.

Micron produces DRAM, NAND, and HBM for AI and data-center applications, competing with Samsung and SK Hynix.

Samsung operates the world's second-largest semiconductor foundry and manufactures memory, competing with TSMC and SK Hynix.

Foundries · Market cap $1.1T

Foundries

Market cap

$1.1T

HQ

SK Hynix manufactures high-bandwidth memory (HBM) that sits on every leading AI accelerator, plus DRAM and NAND for data centers.

Memory · Market cap $879.1B

Memory

Market cap

$879.1B

HQ

Synopsys provides electronic design automation (EDA) software and IP that nearly every chip company uses to design semiconductors.

Tokyo Electron supplies deposition, etch, and cleaning equipment to semiconductor fabs, ranking second globally in wafer fab equipment.

Lithography & Equipment · Market cap $182.3B

Lithography & Equipment

Market cap

$182.3B

HQ