Alternatives to Deep AI Technologies

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

SpaceXAI is an artificial intelligence company that develops frontier AI models for reasoning, code, voice, images, and video, with its core product being the AI chatbot Grok.

Meta's division dedicated to advancing AI research and developing AI models and tools for personal superintelligence.

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

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

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

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

Developing the Omni Processing Unit (OPU) that unifies CPU, GPU, memory, and connectivity for AI workloads.

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.

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

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

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

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

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

Neuromorphic AI computing hardware designed for ultra-efficient, brain-inspired computation.

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

Qualcomm is a global leader in wireless technology innovation, developing and commercializing foundational technologies for mobile and other industries.

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

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