AAEON introduce an Intel Core Ultra 200H-powered developer board

AAEON’s UP brand has announced the release of the UP Xtreme ARL, its first product to feature the new Intel Core Ultra 200H Series platform (formerly Arrow Lake). The platform’s enhanced integrated CPU, GPU, and NPU provide up to 97 TOPs of AI performance, one of the reasons AAEON has positioned the product as a platform for professional developers to build advanced industrial robotics and Autonomous Mobile Robots (AMR) applications.

The board is the first Arrow Lake-powered embedded product to have obtained Intel ESQ (Edge Solution Qualification). This qualification ensures validated hardware and software integration for high-performance, reliable, and scalable AI edge computing applications.

The UP Xtreme ARL’s enhanced chip architecture sees the board leverage performance advancements through both a power-optimised core microarchitecture and Intel DL Boost-accelerated integrated Intel Arc 140T GPU. In addition, its Intel AI Boost NPU offers extensive software framework support, something that the brand’s UP Community will see as a big plus for streamlined model development.

As expected, the UP Xtreme ARL is equipped with a Raspberry Pi-compatible 40-pin GPIO, while also offering dual RS-232/422/485 pin headers, as well as MIPI-CSI camera support via a 61-Pin FPC connector. The board provides two USB 3.2 Gen 2 interfaces via two Type-A ports, alongside three USB 2.0 interfaces via one Type-A port and an internal 10-pin header offering an additional two. Alongside its varied USB configuration is two ethernet ports, one providing 2.5GbE and one Gigabit Ethernet speed. The board offers substantial expansion options, with two M.2 2280 M-Key slots joining one SATA drive for storage, alongside both M.2 2230 E-Key and M.2 3052 B-Key slots for wireless module support.

For OS support, the UP Xtreme ARL is compatible with Windows 10/11 LTSC, Ubuntu 24.04 LTS, and Yocto 5+. AAEON also provides a variety of drivers and setup documentation for GPU, NPU, and IPU functionality on its website product page.

https://www.aaeon.com.

> Read More

New Renesas USB-C power solution improves performance

Renesas has introduced the RAA489300/RAA489301 high-performance buck controller designed with a three-level buck topology used for battery charging and voltage regulation in USB-C systems such as multiple-port USB-PD chargers, portable power stations, PC docking station, robots, drones, and other applications that need a high efficiency DC/DC controller.

The three-level buck converter topology enabled by the new IC delivers exceptional efficiency and significantly reduces the required inductance for regulating the output voltage. Its innovative design minimises power loss and reduces system size, making it ideal for compact, high-performance applications.

The three-level topology consists of two additional switches and a flying capacitor compared to a conventional two-level buck converter. The flying capacitor reduces voltage stress on the switches, allowing designers to use lower voltage FETs with better figures of merit. The result is reduced conduction and switching losses. This topology also enables the use of a smaller inductor with peak-to-peak ripple of only about 25 percent of that of a two-level converter, enabling reduced inductor core and direct current resistance losses.

Key Features of the RAA489300/RAA489301 battery charger and voltage regulator:

Wide range of input and output voltages for use in voltage battery packs and with various PD adapters
Integrated safety features with built-in protection mechanisms against overcharging, overheating, and voltage anomalies
Scalability for easily adapting to various power levels and application requirements
Optimised switching architecture divides voltage across power switches, improving efficiency
Minimises power consumption, contributing to greener, more sustainable designs
Lower thermal stress improves system reliability and extends product lifespan

https://www.renesas.com

> Read More

With new standards for AI inference, Axelera Metis AI accelerators now at Rutronik

Rutronik has recently added Axelera AI, a European pioneer in AI and edge computing, to its franchise partners. Axelera Metis products offer an alternative to traditional GPU-based solutions. The Metis AI platform is a holistic AI solution that combines state-of-the-art hardware and software. The hardware portfolio includes the Metis M.2 AI Inference Acceleration Card and the Metis PCIe AI Inference Acceleration Card.

At the heart of the Metis AI platform is the Metis AIPU (AI Processing Unit), a quad-core chip based on a proprietary RISC-V architecture and Digital In-Memory Computing (D-IMC). This architecture enables AI inference performance of up to 214 TOPS with energy efficiency of 15 TOPS/W. This makes it ideal for computer vision inference on the edge and provides scalable technology to meet the future demands of AI acceleration workloads.

The hardware is complemented by the Voyager SDK, a software package that simplifies model deployment, optimisation and integration.

Metis M.2 AI Inference Acceleration Card
This card, powered by the Metis AIPU, is ideal for applications with limited space that require powerful AI inference. In addition, the M.2 card has 1 GB of dedicated DRAM memory, which helps reduce power consumption and enables easier integration into systems. Its inference performance is up to 214 TOPS with 5 to 9 W typical application performance. A PCIe Gen3 x4 interface and security features (Secure Boot, Root of Trust) round out the product. The Metis M.2 AI Inference Acceleration Card is optionally available with an active cooling solution.

Target applications:
• Surveillance: easy deployment in buildings, construction sites or event venues
• Robotics: high-resolution advanced gesture recognition, pose estimation and decoding of human
intentions
• Medical: improved accuracy of real-time diagnosis, monitoring, imaging and analysis
• Agritech: crop analysis, smart irrigation, pest control, automated harvesting
• Drones: navigation, object detection and monitoring in lightweight, battery-powered UAV systems

Metis PCIe AI Inference Acceleration Card
The PCIe single slot cards in HHHL form factor with PCIe Gen3 x4 interface are also powered by the Metis AIPU. The PCIe version features up to 3,200 FPS for ResNet- 50, up to 214 TOPS with typical application performance of 8 W to 15 W, and active air cooling. Security features such as Secure Boot and Root of Trust are also integrated. It is available with 4 GB and 16 GB memory configurations.

Additional options with four Metis chips will be available soon, enabling up to 856 TOPS. These will then be available with 16 GB and 64 GB memory.
Target applications:
• Security: faster detection of incidents such as break-ins, falls or abandoned luggage
• Industry 4.0: fault detection, quality control, occupational safety
• Retail: customer behaviour, inventory monitoring, automated checkout systems
• Mobility: toll collection, enforcement and parking management
• Logistics: improving operational efficiency and safety in logistics centres

Both products support simultaneous inference on multiple cameras and enable the parallel use of independent neural networks. They offer a wide range of end-to-end AI pipelines and pre-trained models for a wide variety of applications. Advanced quantisation tools also ensure high prediction accuracy without compromising performance.

https://rutronik-tec.com

> Read More

Alif Semi release benchmark results from its latest GenAI enabled MCUs

Alif Semiconductor has released benchmarks on its latest E4, E6 and E8 microcontrollers and fusion processors.

The new Ensemble devices contain support for up to two MIPI-CSI image sensors. They also include a fully hardware-accelerated image signal processor (ISP) pipeline that operates at up to 60fps at 2MP resolution. This image throughput is enabled with a new wide memory subsystem for extremely fast on-chip as well as off-chip transactions, pushing inferencing speed well below a millisecond when running AI models from internal, highly power efficient MRAM.

The generative AI capability in the Ensemble E4, E6, and E8 devices is made possible by Alif’s future-proof system architecture. Alif is the first silicon provider to offer the Arm Ethos-U85 NPU which supports transformer-based ML networks. As an example of power efficiency, an SLM executed on an E4 device draws only 36mW of power when generating text to construct a story based on a user-provided prompt.

These levels of performance and efficiency enable developers to innovate next-generation products in human-to-computer interfacing, healthcare and diagnostics, robotics, transportation, toys and education, smart homes, and smart city equipment.

Paul Williamson, Senior Vice President and General Manager, IoT Line of Business at Arm, said: “Generative AI is raising the bar for intelligence beyond the cloud, demanding greater performance, privacy, responsiveness, and efficiency. Powered by Arm Ethos technology and supported by our robust software ecosystem, Alif’s latest Ensemble MCUs bring advanced on-device AI capabilities to even the most constrained devices, unlocking real-time insights in applications like health monitoring and wearables. This enables developers to deliver the next generation of intelligent, on-device experiences.”

https://alifsemi.com

 

> Read More

About Smart Cities

This news story is brought to you by smartcitieselectronics.com, the specialist site dedicated to delivering information about what’s new in the Smart City Electronics industry, with daily news updates, new products and industry news. To stay up-to-date, register to receive our weekly newsletters and keep yourself informed on the latest technology news and new products from around the globe. Simply click this link to register here: Smart Cities Registration