Alternatives to Positron

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.

Designs and manufactures advanced photonic semiconductor chips for optical transceivers, LiDAR, and high-performance applications.

Designs, develops, manufactures, and sells high-performance, high-efficiency server and storage technology and green computing solutions.

Reinventing computation with fiber optic hardware for revolutionary data processing.

Global technology company renowned for its GPUs, SoCs, and APIs, driving advancements in AI, gaming, and high-performance computing.

Developing photonic computing and interconnect technology to accelerate AI infrastructure and improve energy efficiency.

Mass-producing optical transceivers for AI data centers.

Building a fault-tolerant quantum computer using photonics and silicon manufacturing.

Develops optical chips and software for AI computing, accelerating computations with light.

Israeli semiconductor startup developing advanced 3D imaging technology for mass-market applications.

Velaura AI develops ultra-low power silicon and software technologies for AI infrastructure, focusing on energy efficiency for data centers and physical AI applications.

A leading semiconductor manufacturer providing advanced chip manufacturing services.

Develops AI and Deep Learning processors for data centers and cloud environments.

Custom silicon design and manufacturing for advanced networking and data center applications.

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

Rethinking compute architectures for future processing needs with novel VLSI designs.

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

Develops low-energy AI processors with spatial dataflow architecture for extended device operation.

Developing AI-native chip design software and physics-based thermodynamic processors to address AI hardware energy demands.