Alternatives to Ambiq Micro

Annapurna Labs invents the next generation of cloud computing infrastructure, focusing on compute, machine learning, storage, and networking.

AI chipmaker

Customized tiny System-in-Package (SiP) modules integrating TinyML, sensors, energy harvesting, and wireless communication.

Global semiconductor company providing secure connectivity solutions for automotive, industrial, and IoT applications.

Industry-leading AI infrastructure for ultra-fast AI inference and training powered by Wafer-Scale Engines.

Designs and licenses RISC-V based custom processor cores and IP for diverse applications.

Neurophos develops photonic AI chips (OPUs) for extreme efficiency and performance in AI compute.

Developing an AI chip with integrated optical components for faster and more efficient AI inference.

Fabless semiconductor company designing and licensing graphics IP for embedded systems.

Designs high-performance AI processors and RISC-V based compute solutions.

d-Matrix develops high-performance AI compute platforms and chips designed for efficient inference of large language models and generative AI workloads.

AI chip startup focused on energy-efficient inference acceleration, acquired by AMD.

Develops laser-integrated silicon photonics for high-speed optical interconnects in AI data centers.

Rebellions is a South Korean fabless semiconductor startup designing high-performance AI chips for data centers and edge devices.

TYLsemi is a chiplet-first silicon company focused on AI infrastructure, delivering production-ready chiplets for connectivity, power, and efficiency to accelerate custom AI accelerator design.

FMC develops advanced, energy-efficient memory chips for AI applications.

Designs and manufactures ultra-low power microcontrollers and SoCs for IoT and wearable devices.

Chinese company specializing in AI-powered storage controllers and integrated storage solutions.

Cambricon designs and develops AI chips and solutions for various applications.

Rivos is a semiconductor startup developing high-performance RISC-V based processors for data centers and AI workloads.