Alternatives to Groq

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

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

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

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

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

Etched is building the hardware for superintelligence by burning the transformer architecture into their chips.

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

Logarithmic computing for AI inference.

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

AI chipmaker focused on energy-efficient hardware as an alternative to Nvidia.

Startup working on chips for AI superintelligence.

Develops model-specific AI chips that hardwire AI models directly into silicon for improved performance and efficiency.

Develops energy-efficient AI inference hardware and custom silicon chips to compete with Nvidia.

A chip startup focused on solving AI's memory bottleneck with memory-centric solutions.

Crosschip is developing a novel AI chip architecture for efficient AI inference and training.

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

Architects intelligent, light-native systems and photonic-native technologies for the next era of intelligence.

Building a cluster-scale operating system for the next generation of supercomputers.