OpenHW Group today announced that the industry's most comprehensive Development Kit for an open-source RISC-V MCU is now available to be ordered. The OpenHW CORE-V MCU DevKit includes an open-source printed circuit board (PCB) which integrates OpenHW's CORE-V MCU and various peripherals, a software development kit (SDK) with a full-featured Eclipse-based integrated development environment (IDE), as well as connectivity to Amazon Web Services (AWS) via AWS IoT ExpressLink for secure and reliable connectivity between IoT devices and AWS cloud services.

The comprehensive open-source CORE-V MCU DevKit enables software development for embedded, internet-of-things (IoT), and artificial intelligence (AI)-driven applications. The CORE-V MCU is based on the open-source CV32E40P embedded-class processor, a small, efficient, 32-bit, in-order open-source RISC-V core with a four-stage pipeline that implements the RV32IM[F]C RISC-V instruction extensions.

Renesas Electronics Corporation, a premier supplier of advanced semiconductor solutions, today announced that it will present the first live demonstrations of artificial intelligence (AI) and machine learning (ML) implementations on an MCU based on the Arm Cortex -M85 processor. The demos will show the performance uplift in AI/ML applications made possible by the new Cortex-M85 core and Arm's Helium technology. They will take place in the Renesas stand - Hall 1, Stand 234 (1-234) at the embedded world 2023 Exhibition and Conference in Nuremburg, Germany from March 14-16.

At embedded world in 2022, Renesas became the first company to demonstrate working silicon based on the Arm Cortex-M85 processor. This year, Renesas is extending its leadership by showcasing the features of the new processor in demanding AI use cases. The first demonstration showcases a people detection application developed in collaboration with Plumerai, a leader in Vision AI, that identifies and tracks persons in the camera frame in varying lighting and environmental conditions. The compact and efficient TinyML models used in this application lead to low-cost and lower power AI solutions for a wide range of IoT implementations. The second demo showcases a motor control predictive maintenance use case with an AI-based unbalanced load detection application using Tensorflow Lite for Microcontrollers with CMSIS-NN.

Think Silicon, the leading provider of ultra-low-power GPU IP for embedded systems, will showcase its latest graphics and AI solutions for edge computing devices in Hall 4, Booth 476 at Embedded World 2023 taking place in Nuremberg, Germany from March 14-16. The solutions demonstrate how Think Silicon is meeting the complex needs of ultra-low-power graphics and AI applications in the wearables, smart home, industrial and automotive markets.

Think Silicon's booth will feature the industry's first RISC-V-based GPU - the NEOX IP Series. NEOX represents a new era of smart GPU architectures with programmable compute shaders, running on a real-time operating system (RTOS) and supported by lightweight graphics and machine learning programming frameworks. NEOX serves as a GPU platform addressing a wide variety of vertical markets, including next-generation ultra-low-power smartwatches, augmented reality (AR) eyewear, surveillance and entertainment video, and smart displays for point-of-sale/point-of-interaction terminals.

With the x86 architecture, large hyperscale cloud providers have been experiencing all sorts of troubles, from high power consumption to the high pricing structure of these processors. Companies like Amazon Web Services (AWS) build their processors based on 3rd party instruction set architecture designs. Today, Alibaba, the Chinese giant, has announced the launch of two processors made in-house to serve everything from edge to central server processing. First in line is the RISC-V-based Xuantie series of processors, which can run anything from AliOS, FreeRTOS, RT-Thread, Linux, Android, etc., to other operating systems as well. These processors are open-source, capable of modest processing capabilities, and designed as IPs that anyone can use. You can check them out on T-Head GitHub repositories here.

The other thing that Alibaba announced is the development of a 128-core custom processor based on the Arm architecture. Called Yitian 710 server SoC, TSMC manufactures it on the company on 5 nm semiconductor node. So far, Alibaba didn't reveal any details about the SoC and what Arm cores are used. However, this signifies that the company seeks technology independence from outside sources and wants to take it all in-house. With custom RISC-V processors for lower-power tasks and custom Arm server CPUs, the whole infrastructure is covered. It is just a matter of time before Alibaba starts to replace x86 makers in full. However, given the significant number of chips that the company needs, it may not happen at any sooner date.

There is expected to be more than 79 zettabytes of IoT data in 2025, but the real value of this data is found in the insights it generates. The closer to the data source we can produce these insights the better, because of the improved security, latency and energy efficiency enabled. Computational storage is emerging as a critical piece of the data storage puzzle because it puts processing power directly on the storage device, giving companies secure, quick and easy access to vital information.

Our expertise and legacy in storage puts Arm in a strong position to address the changing needs of this market - with around 85% of hard disk drive controllers and solid-state drive controllers based on Arm, we are already a trusted partner for billions of storage devices. Today, we're announcing Arm Cortex-R82, our first 64-bit, Linux-capable Cortex-R processor designed to accelerate the development and deployment of next-generation enterprise and computational storage solutions.

AMD today announced a collaboration with Green Hills Software, the largest independent vendor of embedded software, that brings its industry-leading INTEGRITY real-time operating system (RTOS) to the AMD Embedded G-Series Accelerated Processing Unit (APU) platform. The combination of INTEGRITY RTOS with the AMD Embedded G-Series APU creates a high performance, reliable and secure embedded computing solution or use across a range of applications including industrial control systems, consumer, networking, military/aerospace and medical.

The INTEGRITY RTOS offers support for multi-core x86 CPUs in the AMD Embedded G-Series APU with its v10.0.2 SMP release. The AMD Embedded G-Series APU offers an advanced, low-power, multi-core x86 CPU and a discrete-class DirectX 11-capable GPU on a single chip. This specific family of APUs was created expressly for the requirements of embedded systems, many of which require the precise, deterministic timing of an RTOS.