Alternatives to Next Silicon

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 high-performance AI processors and RISC-V based compute solutions.

Leading semiconductor manufacturer designing and producing microprocessors for computing devices.

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

Designs and licenses CPU cores and related technologies for semiconductors, powering most mobile devices and increasingly AI infrastructure.

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

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

Creator of the first pure laser-based processing unit (LPU) for ultra-fast computing.

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

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

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.

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

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

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.

Semiconductor hardware company accelerating data analytics query processing speed and scale.

Develops the C200 Analytics Processing Unit (APU), an ASIC for massive-scale analytics.

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