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AI SoC / Edge AI SoC

Subcategory of integrated SoC designs targeting AI inference, computer vision, and embedded edge computing workloads.

Covers integrated System-on-Chip circuits used as central processing units in embedded systems, robotics, AIoT, and edge AI devices. In this schema, parentCategory is set to 'other' because the parentCategory enum does not include a compute category.

CategoryOther
Market classIndustrial
Introduction date12 September 2017
8 components
AMD Ryzen AI Embedded P100 product image (source: amd.com)
Compute Modules·AMD

AMD Ryzen AI Embedded P100

AMD Ryzen AI Embedded P100 is an edge SoC with Zen 5/5c CPU (up to 12 cores), RDNA 3.5 GPU, and XDNA 2 NPU — up to 50 TOPS on NPU, 80 TOPS combined, for mobile robotics 2025+.

DiscontinuedApple A11 Bionic — SoC on the iPhone 8 main logic board (photo from Wikimedia Commons).
Compute Modules·Apple

Apple A11 Bionic

Apple SoC from September 2017 (iPhone 8, 8 Plus, iPhone X), 10 nm TSMC, 4.3 billion transistors, 6 ARMv8.2-A cores. First Apple chip with a dedicated Neural Engine (600 billion ops/s) powering Face ID and Animoji. Discontinued in 2020.

AnnouncedApple M7 Ultra — conceptual render of Apple's server chip (generated image, not an official Apple asset).
Compute Modules·Apple

Apple M7 Ultra

Apple-announced server chip planned for H1 2027, supporting up to 1.5 TB of RAM. Descended from the architecture built for the discontinued Project Titan. Apple is skipping M6 Pro/Max/Ultra variants to speed up its debut.

DeployedApple Neural Engine — conceptual visualisation of an NPU block on an SoC silicon die (generated image, not an official Apple asset).
Compute Modules·Apple

Apple Neural Engine

Apple's series of AI accelerators (NPU), integrated as a block in A- and M-series SoCs since 2017. M4 reaches 38 TOPS; an expanded version is announced in the M7 Ultra server chip for 2027.

DeployedD-Robotics Sunrise
Compute Modules·D-Robotics

D-Robotics Sunrise

D-Robotics' family of proprietary AI-accelerated SoCs for robotics and edge AI; e.g. Sunrise 5 delivers about 10 TOPS in the RDK X5 kit.

DeployedHailo-8L M.2
Compute Modules

Hailo-8L M.2

13 TOPS M.2 AI accelerator drawing only 1.5 W with no external DRAM — designed for Raspberry Pi AI HAT+.

Deployed
Compute Modules·Qualcomm

Qualcomm QCS8550

Qualcomm robotics/IoT system-on-chip based on Snapdragon 8 Gen 2. Combines a Kryo CPU, Adreno 740 GPU and Hexagon NPU, delivering up to 48 TOPS (INT8) of on-device AI compute.

DeployedXPENG Turing AI Chip
Compute Modules·XPENG Robotics

XPENG Turing AI Chip

XPENG's in-house AI SoC for advanced AI models in autonomous driving and in-cabin assistants; ~750 TOPS of sparse compute, supporting models up to 30 billion parameters.

Last updated: 23 March 2026