A

AMD Ryzen AI Embedded P100 Series Processors

Hardware

by AMD

Four- to twelve-core embedded processors with deterministic latency for industrial, automotive and physical-AI workloads that accelerate edge AI on the device.

Find alternatives to AMD Ryzen AI Embedded P100 Series Processors

What it does

• Accelerator silicon
• Model inference

Sources

Pricing

Official documentation · 18 Oct 2026

The page states no price; products come through embedded board and module partners.

Description

Official documentation · 18 Oct 2026

"AMD Ryzen™ AI Embedded P100 Series processors deliver the flexibility and performance that industrial and automotive designers need ... for mission-critical physical AI, DSP, and math workloads."

What it does

Official documentation · 18 Oct 2026

"Accelerates AI: Accelerates edge and physical AI workloads, delivering real-time control to enhance performance".

Sold within

Not found · 18 Oct 2026

The page names no bundling product; boards and modules come from partners.

Name

Official documentation · 18 Oct 2026

"AMD Ryzen AI Embedded P100 Series Processors"

URL

Official documentation · 18 Oct 2026

Own product page.

Deployment

Official documentation · 18 Oct 2026

Embedded processors designed into the buyer's own device or board; the page describes on-device edge workloads.

Also from AMD

• AMD Developer Cloud Infrastructure service

  An on-demand cloud service giving developers browser and API access to AMD Instinct MI300X GPU instances for AI, ML and HPC workloads.

• AMD Helios Rackscale Solution Hardware

  A rack-scale AI system combining 72 Instinct MI455X GPUs with EPYC CPUs and Pensando networking for frontier-model training and large-scale inference.

• AMD Instinct Hardware

  Data-centre GPU accelerators for training and serving models, sold in OEM servers and rack systems.

• AMD ROCm Platform

  Open-source GPU computing stack of compilers, runtimes and libraries for running AI and HPC workloads on AMD hardware.

• AMD Ryzen AI Software Platform

  A development stack of compiler, runtime and tools for porting pretrained models onto the NPU and integrated GPU of Ryzen AI processors.

• AMD Vitis AI Platform

  An open-source AI inference development stack of compiler, optimised NPU IP and runtime for deploying deep-learning models on AMD adaptive SoCs, FPGAs and Alveo cards.

• AMD Enterprise AI Reference Stack Platform

  An open-source reference stack for running enterprise AI workloads at scale on AMD compute: open-source AI frameworks and generative models connected to an enterprise-ready Kubernetes platform, with AMD Inference Microservices — prebuilt inference containers bundling model, engine and optimised configuration for AMD hardware.

• AMD Kria SOMs Hardware

  System-on-module family for deploying edge and physical AI, with production SOMs and partner-validated carrier systems.

• AMD Pensando AI NICs Hardware

  AI NIC family (Pollara 400 at 400 Gbps, Vulcano 800 at 800 Gbps Ethernet) for scale-out inter-GPU communication in AI training and inference clusters, built on the Ultra Ethernet Consortium specification.

• AMD Pensando DPUs Hardware

  Data processing unit family (Salina, Giglio) offloading networking, security and storage services from host CPUs in AI data centres, programmable via the P4-based Pensando software stack.

• AMD Versal AI Core Hardware

  Adaptive SoC/FPGA family for AI inference and adaptive compute workloads.

• AMD Versal AI Edge Series Gen 2 Hardware

  Second-generation Versal AI Edge adaptive SoC family for embedded AI preprocessing, inference and postprocessing.

• AMD Radeon AI PRO R9700 Hardware

  Workstation graphics card with 32GB of video memory and 128 AI accelerators for running and developing AI models locally on a desktop.

• AMD Ryzen AI Halo Hardware

  Compact developer computer with Ryzen AI Max processors, up to 192GB of unified memory and pre-installed AI software for running and building with large models locally.

• AMD Ryzen AI PRO Processors Hardware

  Processors for commercial laptops and desktops that add a dedicated neural processing unit to the CPU and GPU so AI features run on the PC itself.

• AMD Ryzen AI Embedded X100 Series Processors Hardware

  Single-chip CPU, GPU and NPU processors for autonomous systems and robots that run perception, reasoning and control for physical AI on the device.

• AMD Versal AI Edge Series Hardware

  First-generation Versal adaptive SoCs for automated driving, factory and healthcare systems, combining programmable logic, AI Engines for inference and a real-time processor.

• GAIA Application

  AMD's open-source desktop and terminal app of local AI agents for Ryzen AI PCs that answers questions from your documents, edits files, searches code and works with spreadsheets.

Open AMD in the directory

Something wrong here? Send a correction — quote this product id: amd-ryzen-ai-embedded-p100-series-processors.