Lattice MachXO5D-NX FPGA family enables Hardware Security in Programmable FPGAs

Lattice MachXO5D NX FPGA dev board

Lattice Semiconductor has recently introduced the MachXO5D-NX FPGA family, which integrates a hardware root of trust (RoT) into low-power FPGAs. This addresses security challenges by combining on-chip Flash memory and hardware encryption to minimize code capture risks during load time. The MachXO5D-NX family includes three variants with logic cell counts of 27k (FMXO5-25), 53k (LFMXO5-55T), and 96k (LFMXO5-100T). These FPGAs feature built-in hardware encryption, a cryptographic engine supporting AES-256, ECDSA-384/521, SHA2-256/384/512, and RSA 3072/4096, and a unique secret identity (USID) for device identity protection. Built on a 28-nm fully-depleted silicon-on-insulator (FD-SOI) process, these FPGAs reduce power consumption by 75% and lower soft error rates by 100x(as the company mentions). They support interfaces such as MIPI D-PHY (CSI-2, DSI), LVDS, Gigabit Ethernet, and PCIe, making them suitable for secure edge applications. Lattice MachXO5D-NX FPGA family specifications FPGA – Lattice Semi MachXO5D-NX FPGA family (27k (FMXO5-25), 53k (LFMXO5-55T), and 96k (LFMXO5-100T)) Programmable […]

SagireEdge AI 600 SMARC SoM and devkit feature Qualcomm QCS6490 AIoT processor for Edge AI applications

Qualcomm QCS6490 SMARC SoM

Sagire AI’s SagireEdge AI 600 is a SMARC-compliant system-on-module (SoM) and a development kit based on Qualcomm QCS6490 octa-core Cortex-A78/A55 IoT processor and designed for Edge AI applications. The module comes with 8GB LPDDR5 and 128GB UFS storage, a WiFi 6E and Bluetooth 5.5 wireless module, a CAN Bus controller, and on-module camera and audio input connectors. Its MXM 3.0 edge connector exposes additional camera interfaces, a MIPI DSI display interface, PCIe Gen3 x2, gigabit Ethernet, a few USB interfaces, and a range of low-speed I/Os. SagireEdge AI 600 SoM specifications: SoC – Qualcomm QCS6490 CPU – Octa-core Kryo 670 with 1x Gold Plus core (Cortex-A78) @ 2.7 GHz, 3x Gold cores (Cortex-A78) @ 2.4 GHz, 4x Silver cores (Cortex-A55) @ up to 1.9 GHz GPU – Adreno 643L GPU @ 812 MHz with support for Open GL ES 3.2, Open CL 2.0, Vulkan 1.x, DX FL 12 DSP – […]

ASRock IMB-A8000 industrial Ryzen Embedded 8000 mini-ITX motherboard takes up to 96GB DDR5 RAM

ASRockI MB A8000 Mini ITX Industrial Motherboard

ASRock Industrial recently launched the IMB-A8000, an industrial and embedded motherboard in a mini-ITX form factor. As an embedded motherboard, it is powered by AMD Ryzen Embedded 8000 series APU which features 8 cores and 16 threads, built with 4nm technology, and including a 16 TOPS AI accelerator. The motherboard supports up to 96GB of dual-channel DDR5-5600MHz memory and includes one 2.5GbE LAN port and one GbE LAN port. With a wide temperature range of -20ºC to 70ºC this motherboard can be used in applications like manufacturing, robotics, machine vision, and more. Previously we have seen SolidRun introduce the Bedrock R8000 industrial PC built around the Ryzen Embedded 8000 APU family. Other than that we have written about other Ryzen Embedded mini-ITX motherboards/SBCs such as the Flex Logic InferX Hawk combining an AMD Ryzen Embedded R2314 SoC with AI accelerators, the DFI RNO171 with Ryzen Embedded V2000 family, or more […]

RK3568-based MYC-LR3568 system-on-module comes with up to 8GB RAM, 32GB storage for cost-sensitive Edge AI applications

MYIR MYD-LR3568 development board

MYIR Tech has announced the release of the Rockchip RK3568-based MYC-LR3568 Edge AI system-on-module (SoM) offered in a compact 381-pin expansion LGA package design. It features up to 8GB LPDDR4 RAM, 32GB eMMC flash storage, a power management integrated circuit, and various connectivity options. The base configuration of the MYC-LR3568 system-on-module offers only 2GB RAM and 16GB storage but the module supports up to 8GB RAM and 32GB eMMC storage. It supports several video codecs, including 4K 60fps H.265/H.264/VP9 decoding and 1080P 60fps H.265/H.264 encoding, for high-quality video playback and recording. The MYC-LR3568 SoM works with Debian and Linux operating systems. It is designed for cost-sensitive industrial applications including but not limited to IoT gateways, NVR storage, industrial control, human-machine interface (HMI), cloud terminals, and facial recognition systems. MYIR Tech’s MYC-LR3568 specifications: SoC – Rockchip RK3568 (B2 or J variant) CPU RK3568B2 – Quad-core processor with four Cortex-A55 cores @ 2.0 […]

Rockchip RKLLM toolkit released for NPU-accelerated large language models on RK3588, RK3588S, RK3576 SoCs

Rockchip RK3588 RKLLM

Rockchip RKLLM toolkit (also known as rknn-llm) is a software stack used to deploy generative AI models to Rockchip RK3588, RK3588S, or RK3576 SoC using the built-in NPU with 6 TOPS of AI performance. We previously tested LLM’s on Rockchip RK3588 SBC using the Mali G610 GPU, and expected NPU support to come soon. A post on X by Orange Pi notified us that the RKLLM software stack had been released and worked on Orange Pi 5 family of single board computers and the Orange Pi CM5 system-on-module. The Orange Pi 5 Pro‘s user manual provides instructions on page 433 of the 616-page document, but Radxa has similar instructions on their wiki explaining how to use RKLLM and deploy LLM to Rockchip RK3588(S) boards. The stable version of the RKNN-LLM was released in May 2024 and currently supports the following models: TinyLLAMA 1.1B Qwen 1.8B Qwen2 0.5B Phi-2 2.7B Phi-3 […]

Khadas Mind Graphics NVIDIA RTX 4060 Ti GPU dock for the Mind mini PC is now available for $999

Khadas Mind Graphics Dock

The Khadas Mind Graphics is a dock for the Khadas Mind Raptor Lake mini PC that integrates an NVIDIA Geforce RTX 4060 Ti GPU and enables users to run high-end games, edit videos, design graphics, and experiment with AI while keeping the portability and small size of a mini PC. As we’ve seen in our reviews, mini PCs now match the performance of larger machines in almost all aspects with tools like PassMark Performance showing higher-end models’ CPU, memory bandwidth, and storage in the top 10% or 20% of systems. The exception is 3D graphics performance because integrated GPUs can’t match the performance of higher-end graphics cards. The Khadas Mind Graphics solves that by adding an NVIDIA Geforce RTX 40601 Ti GPU to the Khadas Mind mini PC through its Mind Link connector also bringing out other connectors such as 2.5GbE, USB, SD card, etc… Khadas Mind Graphics specifications: Graphics […]

Mixtile Edge AI boxes work with ONVIF cameras to deploy video analytics solutions (Sponsored)

Mixile Ege AI Box

Mixtile Edge AI solution supports ONVIF cameras and leverages object detection, object classification, real-time analysis, and intelligent monitoring to create IoT video analytics applications across the security, transportation, logistics, retail, industry, and agriculture sectors. The hardware is based on the time-tested Mixtile Edge 2 Kit IoT gateway powered by a Rockchip RK3568 SoC with a 1 TOPS NPU and 1080p60 VPU, or Mixtile Blade 3 SBC featuring the more powerful Rockchip RK3588 octa-core SoC with a 6 TOPS AI accelerator and an 8Kp60 VPU. The former can analyze up to 10 streams in real-time, and the latter up to a whopping 40 streams. So the novelty here is on the software side that has been developed by Mixtile and works the following way: The ONVIF cameras transmit video streams to a Mixtile Edge AI Box over the network. The Edge AI Box then runs pre-trained AI models to analyze the […]

Banana Pi BPI-M5 Pro low-profile SBC features Rockchip RK3576 octa-core Cortex-A72/A53 AIoT SoC

Banana Pi BPI-M5 Pro

Banana Pi BPI-M5 Pro, also known as Armsom Sige5, is a low-profile single board computer (SBC) powered by the Rockchip RK3576 octa-core Cortex-A72/A53 SoC for the AIoT market that offers a mid-range offering between Rockchip RK3588 and RK3399 SoCs. The board comes with 16GB LPDDR4X and 128GB eMMC flash by default, offers dual GbE, WiFi 6 and Bluetooth 5.2 connectivity, an M.2 2280 PCIe socket for expansion, HDMI and MIPI DSI display interfaces, two MIPI CSI camera interfaces, a few USB ports, and a 40-pin GPIO header. Banana Pi BPI-M5 Pro specifications: SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores @ 2.2GHz, four Cortex-A53 cores @ 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU – ARM Mali-G52 MC3 GPU with support for OpenGL ES 1.1, 2.0, and 3.2, OpenCL up to 2.0, and Vulkan 1.1 NPU – 6 TOPS (INT8) AI accelerator with support for INT4/INT8/INT16/BF16/TF32 mixed operations. VPU Video Decoder: […]

Exit mobile version
UP 7000 x86 SBC