Alternatives to Unconventional AI

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

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

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

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

Expedera provides scalable Neural Processing Unit (NPU) semiconductor IP for edge AI inference.

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

Develops optical co-processing accelerators for high-speed, energy-efficient computation.

Breakthrough speaker-in-chip technology for ultra-compact, high-quality audio experiences.

Canadian fabless semiconductor company specializing in low-power analog AI compute-in-memory chip technology for edge devices.

Oculi is a provider of AI-based sensor processors.

Edgecortix develops AI-powered hardware accelerators for efficient edge AI inference.

Pioneers edge AI with neuromorphic computing, offering complete AI solutions from silicon to software.

AI tools that design chips.

Develops scalable, extreme-bandwidth optical interconnects for data centers and AI clusters using comb laser technology.

Avicena develops microLED interconnects for AI data centers, enabling ultra-low power, high bandwidth chip-to-chip optical connections.

Develops Wideband Signal Processing solutions for AI, quantum computing, and next-gen technologies.

Salience Labs is developing hybrid photonic-electronic chips for AI acceleration.

Developing the world's first all-optical XPU for unprecedented processing speed and energy efficiency.

Hailo develops AI processors for edge devices, enabling on-device generative AI.