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AMD launches Ryzen AI PC, mobile and embedded processors at CES - SiliconANGLE
AMD launches Ryzen AI PC, mobile and embedded processors at CES Advanced Micro Devices Inc. late today unveiled two new portfolios of x86 Ryzen processors today as it doubled down on providing AI chips across technology platforms. For one, AMD introduced the Ryzen AI 400 Series processor, the latest iteration of its AI-powered personal computer chips, at the annual CES electronics conference in Las Vegas. It provides 1.3 times faster multitasking than its competitors and is 1.7 times faster at content creation. It features 12 central processing unit cores inside a core processor, along with 24 threads. AMD also is updating its workstation-level Ryzen AI Max+ mobile processors with two new models: the 12-core Ryzen AI Max+ 392 and the eight-core Ryzen AI Max+ 388. They're notable for a system-on-chip designs that employs a bank of shared memory that can be allocated ad-hoc between the main system memory and graphics. Meanwhile, the AI Embedded processors offer higher-performance, lower-latency artificial intelligence to automotive, industrial and autonomous edge systems. The new Ryzen AI Embedded P100 and X100 Series processors combine AMD's latest Zen 5 CPU cores, RDNA 3.5 graphics and XDNA 2 neural processing units into a single x86 system-on-chip that is designed for space and power-constrained embedded deployments. The processors are intended to power next-generation digital cockpits, industrial automation platforms and physical AI systems, including autonomous machines and humanoid robotics. "As industries push for more immersive AI experiences and faster on-device intelligence, they need high performance without added system complexity," said Salil Raje, senior vice president and general manager of AMD Embedded. "The Ryzen AI Embedded portfolio brings leadership CPU, GPU and NPU capabilities together in a single device, enabling smarter, more responsive automotive, industrial and autonomous systems." The Ryzen AI Embedded P100 Series features four to six Zen 5 CPU cores and is optimized for in-vehicle infotainment and industrial human-machine interfaces. According to AMD, the P100 processors deliver up to a 2.2-times improvement in single-thread and multithread CPU performance over the previous generation, along with an estimated 35% boost in graphics performance powered by the RDNA 3.5 GPU architecture. The graphics subsystem is designed to support immersive cockpit experiences, with the ability to drive up to four 4K displays or two 8K displays simultaneously at up to 120 frames per second. The offering also includes a dedicated video codec engine that enables high-fidelity streaming and playback without placing additional load on the CPU. On the AI side, the P100 Series integrates an XDNA 2 NPU that delivers up to 50 trillion operations per second. Doing so allows for low-latency inference for workloads such as voice recognition, gesture control, computer vision and compact large language models. The broader Ryzen AI Embedded portfolio also includes the higher-end X100 Series that scales to higher CPU core counts and delivers increased AI performance for more demanding physical AI and autonomous systems. The entire software stack is built on the open-source, Xen hypervisor-based virtualization framework that securely isolates multiple operating system domains. The unified software stack allows for multiple operating systems, including Linux distributions, FreeRTOS, Android and Windows, to run securely in parallel. For customers, the open-source foundation, long-term operating system support and ASIL-B-capable architecture are said by AMD to reduce costs, simplify customization and accelerate the path to production for automotive and industrial systems. AMD Ryzen AI Embedded P100 processors featuring four to six cores are already with early-access customers, with tools and documentation expected to be available with production shipments expected in the second quarter. P100 Series processors featuring eight to 12 cores targeting industrial automation applications are expected to begin sampling in the first quarter. The X100 Series processors, which offer up to 16 cores, are expected to begin rolling out in the first half of this year.
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AMD launches Zen 5-based Ryzen AI Embedded chips at CES - SiliconANGLE
Advanced Micro Devices Inc. late today unveiled a new portfolio of x86 Ryzen AI Embedded processors that offer higher-performance, lower-latency artificial intelligence to automotive, industrial and autonomous edge systems. Announced at of the annual CES 2026 trade show in Las Vegas, the new Ryzen AI Embedded P100 and X100 Series processors combine AMD's latest Zen 5 CPU cores, RDNA 3.5 graphics and XDNA 2 neural processing units into a single x86 system-on-chip that is designed for space and power-constrained embedded deployments. The processors are intended to power next-generation digital cockpits, industrial automation platforms and physical AI systems, including autonomous machines and humanoid robotics. "As industries push for more immersive AI experiences and faster on-device intelligence, they need high performance without added system complexity," said Salil Raje, senior vice president and general manager of AMD Embedded. "The Ryzen AI Embedded portfolio brings leadership CPU, GPU and NPU capabilities together in a single device, enabling smarter, more responsive automotive, industrial and autonomous systems." The Ryzen AI Embedded P100 Series features four to six Zen 5 CPU cores and is optimized for in-vehicle infotainment and industrial human-machine interfaces. According to AMD, the P100 processors deliver up to a 2.2-times improvement in single-thread and multithread CPU performance over the previous generation, along with an estimated 35% boost in graphics performance powered by the RDNA 3.5 GPU architecture. The graphics subsystem is designed to support immersive cockpit experiences, with the ability to drive up to four 4K displays or two 8K displays simultaneously at up to 120 frames per second. The offering also includes a dedicated video codec engine that enables high-fidelity streaming and playback without placing additional load on the CPU. On the AI side, the P100 Series integrates an XDNA 2 NPU that delivers up to 50 trillion operations per second. Doing so allows for low-latency inference for workloads such as voice recognition, gesture control, computer vision and compact large language models. The broader Ryzen AI Embedded portfolio also includes the higher-end X100 Series that scales to higher CPU core counts and delivers increased AI performance for more demanding physical AI and autonomous systems. The entire software stack is built on the open-source, Xen hypervisor-based virtualization framework that securely isolates multiple operating system domains. The unified software stack allows for multiple operating systems, including Linux distributions, FreeRTOS, Android and Windows, to run securely in parallel. For customers, the open-source foundation, long-term operating system support and ASIL-B-capable architecture are said by AMD to reduce costs, simplify customization and accelerate the path to production for automotive and industrial systems. AMD Ryzen AI Embedded P100 processors featuring four to six cores are already with early-access customers, with tools and documentation expected to be available with production shipments expected in the second quarter. P100 Series processors featuring 8-12 cores targeting industrial automation applications are expected to begin sampling in the first quarter. The X100 Series processors, which offer up to 16 cores, are expected to begin rolling out in the first half of this year.
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AMD Expands Embedded Computing with Ryzen AI Processors for Automotive, Industrial and Physical AI
The processors integrate the high-performance "Zen 5" core architecture for scalable x86 performance and deterministic control, an RDNA 3.5 GPU for real-time visualization and graphics, and an XDNA 2 NPU for low-latency, low-power AI acceleration - all in a single chip. AMD introduced the AMD Ryzenâ„¢ AI Embedded processors, a new portfolio of embedded x86 processors designed to power AI-driven applications at the edge. From automotive digital cockpits and smart healthcare to physical AI for autonomous systems, including humanoid robotics, the new P100 and X100 Series processors provide OEMs, tier-1 suppliers and system and software developers in automotive and industrial markets with high performance, efficient AI compute in a compact BGA (ball grid array) package for the most constrained embedded systems.
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AMD Introduces Ryzen AI Embedded Processor Portfolio, Powering AI-Driven Immersive Experiences in Automotive, Industrial and Physical AI
AMD introduced the AMD Ryzen AI Embedded processors, a new portfolio of embedded x86 processors designed to power AI-driven applications at the edge. From automotive digital cockpits and smart healthcare to physical AI for autonomous systems, including humanoid robotics, the new P100 and X100 Series processors provide OEMs, tier-1 suppliers and system and software developers in automotive and industrial markets with high performance, efficient AI compute in a compact BGA (ball grid array) package for the most constrained embedded systems. The processors integrate the high-performance "Zen 5" core architecture for scalable x86 performance and deterministic control, an RDNA 3.5 GPU for real-time visualization and graphics, and an XDNA 2 NPU for low-latency, low-power AI acceleration - all in a single chip. The portfolio includes the P100 Series processors, targeting in-vehicle experiences and industrial automation, and the X100 Series processors featuring higher CPU core counts and AI TOPS performance for more demanding physical AI and autonomous systems. Launching today, P100 Series processors featuring 4-6 cores are optimized for next-generation digital cockpits and HMI (human-machine interfaces), enabling real-time graphics for in-vehicle infotainment displays, AI-driven interactions, and multi-domain responsiveness. They deliver up to a 2.2X multi-thread and single-thread performance boost over the previous generation, ensuring deterministic control in a compact 25×40 mm BGA package. With a 15?54-watt operating range and support for ?40°C to +105°C environments, it is built for harsh, power- and space-constrained edge systems and 10-year lifecycles. The P100 Series processors integrate an RDNA 3.5 GPU, delivering an estimated 35% faster rendering to power up to four 4K (or two 8K) digital displays simultaneously at 120 frames per second. The AMD video codec engine enables high-fidelity, low latency streaming and responsive playback without burdening the CPU. The next generation AMD XDNA 2 NPU delivers up to 50 TOPS, for up to 3X higher AI inference performance. XDNA 2 architecture combines understanding of voice, gestures and environmental cues using supported AI models including vision transformers, compact LLMs and CNNs. Ryzen AI Embedded processors provide a consistent development environment with a unified software stack that spans the CPU, GPU, and NPU. At the runtime layer, developers benefit from optimized CPU libraries, open-standard GPU APIs, and a native XDNA architecture AI runtime enabled through Ryzen AI Software. The entire software stack is built on the open-source, Xen hypervisor-based virtualization framework that securely isolates multiple operating system domains. This enables Yocto or Ubuntu to power the HMI, FreeRTOS to manage real-time control, and Android or Windows to support richer applications, all running safely in parallel. With an open-source foundation, long-term OS support, and an ASIL-B capable architecture, they help customers reduce costs, simplify customization, and accelerate the path to production for automotive and industrial systems. AMD Ryzen AI Embedded P100 processors featuring 4-6 cores are sampling with early access customers. Tools and documentation are available with production shipments expected in the second quarter. P100 Series processors featuring 8-12 cores targeting industrial automation applications are expected to begin sampling in the first quarter. Sampling of X100 Series processors, which offer up to 16 cores, is expected to begin in the first half of this year.
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AMD unveiled its Ryzen AI Embedded P100 and X100 Series processors at CES 2026, combining Zen 5 CPU cores, RDNA 3.5 graphics and XDNA 2 neural processing units into a single chip. The processors target automotive digital cockpits, industrial automation and autonomous systems including humanoid robotics, delivering up to 50 TOPS of AI performance with support for harsh environments and 10-year lifecycles.
AMD introduced its new Ryzen AI Embedded processor portfolio at CES 2026 in Las Vegas, marking a significant expansion into AI-driven applications at the edge
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. The Ryzen AI Embedded P100 and X100 Series processors combine AMD's latest Zen 5 CPU cores, RDNA 3.5 GPU, and XDNA 2 NPU into a single x86 system-on-chip designed for space and power-constrained embedded deployments3
. These embedded processors are engineered to power next-generation automotive digital cockpits, industrial automation platforms, and physical AI systems, including autonomous machines and humanoid robotics4
.
Source: DT
The Ryzen AI Embedded P100 Series features four to six Zen 5 CPU cores and is optimized for in-vehicle infotainment and industrial human-machine interfaces
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. According to AMD, the P100 processors deliver up to a 2.2-times improvement in single-thread and multithread CPU performance over the previous generation, along with an estimated 35% boost in graphics performance powered by the RDNA 3.5 GPU architecture2
. The graphics subsystem supports immersive cockpit experiences, with the ability to drive up to four 4K displays or two 8K displays simultaneously at up to 120 frames per second4
. Built in a compact 25×40 mm BGA package, the P100 Series operates within a 15-54-watt range and supports harsh environments from -40°C to +105°C with 10-year lifecycles4
.
Source: SiliconANGLE
The P100 Series integrates an XDNA 2 NPU that delivers up to 50 trillion operations per second, enabling low-latency AI inference for workloads such as voice recognition, gesture control, computer vision, and compact large language models
1
. This represents up to 3X higher AI inference performance, with the XDNA 2 architecture combining understanding of voice, gestures and environmental cues using supported AI models including vision transformers, compact LLMs and CNNs4
. The offering also includes a dedicated video codec engine that enables high-fidelity streaming and playback without placing additional load on the CPU2
. "As industries push for more immersive AI experiences and faster on-device intelligence, they need high performance without added system complexity," said Salil Raje, senior vice president and general manager of AMD Embedded1
.The higher-end X100 Series scales to higher CPU core counts, offering up to 16 cores, and delivers increased AI performance for more demanding physical AI and autonomous systems
2
. This positions AMD to compete in emerging markets for autonomous machines and humanoid robotics, where AI-driven applications require substantial processing power in compact form factors3
. The P100 Series processors featuring eight to 12 cores target industrial automation applications and are expected to begin sampling in the first quarter1
.Related Stories
Ryzen AI processors provide a consistent development environment with a unified software stack spanning the CPU, GPU, and NPU
4
. The entire software stack is built on the open-source, Xen hypervisor-based virtualization framework that securely isolates multiple operating system domains2
. This enables multiple operating systems, including Linux distributions, FreeRTOS, Android and Windows, to run securely in parallel1
. For customers, the open-source foundation, long-term operating system support and ASIL-B-capable architecture reduce costs, simplify customization and accelerate the path to production for automotive and industrial systems4
.AMD Ryzen AI Embedded P100 processors featuring four to six cores are already sampling with early-access customers, with tools and documentation expected to be available with production shipments in the second quarter
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. The X100 Series processors are expected to begin rolling out in the first half of this year . The new processors provide OEMs, tier-1 suppliers and system and software developers in automotive and industrial markets with high performance, efficient AI compute in a compact BGA package for the most constrained embedded systems3
. This positions AMD to capture growing demand for AI acceleration in edge systems where deterministic control and real-time responsiveness matter most.Summarized by
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