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Andes QiLai quad-core AX45MP RISC-V SoC with NX27V vector processor powers micro-ATX Voyager Development Platform

Andes Voyager Development Platform

Andes’ Voyager Development Platform is a micro-ATX motherboard based on the company’s QiLai SoC with four AX45MP 64-bit RISC-V cores and an NX27V vector processor optimized for AI workloads. The Voyager board supports up to 16GB of DDR4 via a UDIMM socket, features 16Mbit SPI Flash for boot code and an SD card socket, includes three PCIe Gen4 slots to connect external devices such as GPU card and SSD,  as well as a JTAG debugger and USB to UART bridge for debugging during Linux software development. Andes QiLai RISC-V AI SoC Before looking at the board itself, let’s check the Andes QiLai SoC specifications: CPU cores Andes AX45MP-4C cluster 4x RV64GC 8-stage superscalar processors clocked at 1.6 GHz (worse) / 2.1 GHz (typ.) Support of MESI cache coherence protocol with Coherence Manager 32KB L1 Instruction and Date cache 2MB L2 cache I/O Coherence Port (IOCP) – Synchronous AXI4 (256 bits [...]

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M5Stack releases AX630C-powered offline “Module LLM” for local smart home and AI applications

M5Stack Module LLM

The M5Stack Module LLM is yet another box-shaped device from the company that provides artificially intelligent control without internet access. It is described as an “integrated offline Large Language Model (LLM) inference module” which can be used to implement local LLM-based solutions in smart homes, voice assistants, and industrial control. Module LLM is powered by the AX630C SoC, equipped with 4GB LPDDR4 memory, 32GB storage, and a 3.2 TOPS (INT8) or 12.8 TOPS (INT4) NPU. M5Stack says the main chip has an average runtime power consumption of 1.5W, making it suitable for long-term operation. It has a built-in microphone, speaker, microSD card slot, and USB OTG. The USB port can connect peripherals such as cameras and debuggers, and the microSD card slot supports cold and hot firmware updates. The M5Stack Module LLM joins the list of other offline, on-device LLM-based solutions, such as the SenseCAP Watcher, Useful Sensors’ AI in [...]

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D-Robotics RDK X3 Development Board features Sunrise X3 quad-core Arm Cortex-A53 SoC with a 5TOPS “Bernoulli” BPU

D-Robotics RDK X3 development board

The D-Robotics RDK X3 development board is designed for edge AI applications and features a Sunrise X3 quad-core Arm Cortex-A53 processor running at 1.5GHz with a dual-core BPU (Brain Processing Unit) with 5 TOPS of edge inference capability. The board includes a 40-pin GPIO interface, ensuring compatibility with Raspberry Pi 4B accessories for versatile project development. The RDK X3 offers 2GB or 4GB of LPDDR4 RAM and includes a MicroSD card slot for storage expansion. Designed for real-time applications like robot control and intelligent monitoring, its 5 TOPS inference capability makes it ideal for computer vision workloads such as object detection, body segmentation, scene parsing, etc… Previously, we covered the Horizon X3 AI development board, which uses the same Horizon Robotics Sunrise X3 processor. We’ve also written about several other edge AI development boards, including the Synaptics Astra Platform SL1680, SagireEdge AI 600, and MYiR Tech’s MYC-LR3568. Feel free to [...]

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