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Design and sell AI accelerator chips and open-source software for developers and data centers.

Designs energy-efficient AI inference chips and accelerators for data centers and cloud providers, positioning as a Nvidia alternative for large language model deployment.

Design and manufacture AI inference chips, accelerator cards, and servers optimized for real-time video analytics and large language model inference.

Speedata builds a specialized processor, the Analytics Processing Unit (APU), to speed up big data analytics and AI data preparation workloads.

Design and sell high-speed copper and optical interconnect chips and cables that let AI data centers and hyperscalers move data between GPUs and compute nodes reliably and efficiently.

Design and build specialized semiconductor systems that perform artificial intelligence workloads on encrypted data without decryption, enabling privacy-preserving computation at near-plaintext speeds.

Designs optical interconnect chiplets that replace copper connections inside AI data centers, allowing hyperscalers to build larger, more power-efficient multi-rack AI training and inference systems.

Designs and manufactures energy-efficient AI inference chips and edge computing platforms for on-device artificial intelligence processing.

Intel sells AI software tools and optimized libraries that help developers build, train, and deploy machine learning models on Intel hardware, including CPUs, GPUs, and custom accelerators.

Build AI-powered robotic systems that automate picking, sorting, unloading, and packing in warehouses and fulfillment centers.