Alternatives to FuriosaAI

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

Groq develops a high-performance AI inference chip and compiler for ultra-low latency AI applications.

Develops high-performance AI accelerators and computing solutions for intelligent data centers and edge devices.

Leading semiconductor manufacturer designing and producing microprocessors for computing devices.

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.

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.

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

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

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

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

Designs AI-specific processors (IPUs) for machine learning and AI workloads.