Alternatives to YEESTOR

Designs and manufactures NAND flash memory controllers and storage solutions for various markets.

Chinese semiconductor company designing and manufacturing 3D NAND flash memory chips and SSDs.

A global leader in providing data infrastructure semiconductor solutions.

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.

Developer of high-performance RISC-V CPU cores and chiplets for data centers and AI.

South Korean semiconductor company designing AI accelerator chips and software for LLMs and multimodal AI.

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.

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

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

Develops AI chips for edge computing, enabling AI processing on devices.

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

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.

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

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

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

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