Top Semiconductors companies

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

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

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

Ayar Labs develops chiplet-based optical I/O solutions that replace electrical interconnects in AI and HPC systems.

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

SiFive licenses RISC-V processor IP and builds custom silicon solutions for AI, automotive, and data-center customers.

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

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

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

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

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

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

Foundries · IPO $595M

Foundries

IPO

$595M

HQ

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

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

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

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

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

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

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

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

Lithography & Equipment · IPO $170M

Lithography & Equipment

IPO

$170M

HQ

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