edge

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on DeGirum ORCA M.2 and USB Edge AI accelerators support Tensorflow Lite and ONNX model formats

DeGirum ORCA M.2 and USB Edge AI accelerators support Tensorflow Lite and ONNX model formats

Degirum ORCA M.2 PCIe module

I’ve just come across an Atom-based Edge AI server offered with a range of AI accelerator modules namely the Hailo-8, Blaize P1600, Degirum ORCA, and MemryX MX3. I had never heard about the last two, and we may cover the MemryX module a little later, but today, I’ll have a closer at the Degirum ORCA chip and M.2 PCIe module. The DeGirum ORCA is offered as an ASIC, an M.2 2242 or 2280 PCIe module, or (soon) a USB module and supports TensorFlow Lite and ONNX model formats and INT8 and Float32 ML precision. They were announced in September 2023, and have already been tested in a range of mini PCs and embedded box PCs from Intel (NUC), AAEON, GIGABYTE, BESSTAR, and Seeed Studio (reComputer). DeGirum ORCA specifications: Supported ML Model Formats – ONNX, TFLite Supported ML Model Precision – Float32, Int8 DRAM Interface – Optional 1GB, 2GB, or 4GB […]

Posted on by Debashis Das - No Comments on BrainChip’s Neuromorphic Akida Edge AI Box is now available for pre-orders at $799

BrainChip’s Neuromorphic Akida Edge AI Box is now available for pre-orders at $799

BrainChip Neuromorphic Akida Edge AI Box

BrainChip has recently opened preorders for their Akida Edge AI Box, built in partnership with VVDN Technologies. This box features an NXP i.MX 8M Plus SoC and two Akida AKD1000 neuromorphic processors for low-latency, high-throughput AI processing at the edge. The system features USB 3.0 and micro-USB ports, HDMI, 4GB LPDDR4 memory, 32GB eMMC with up to 1TB micro-SDXC expansion, dual-band Wi-Fi, and two gigabit Ethernet ports for external camera connections, all within a compact, passively-cooled chassis, powered by 12V DC. BrainChip Akida Edge AI Box Specifications: Host CPU – NXP i.MX 8M Plus Quad SOC with 64-bit Arm Cortex-A53 processor running at up to 1.8GHz AI/ML Accelerator – Dual Brainchip AKD1000 (Akida Chip) over PCIe for efficient AI processing Memory – 4GB LPDDR4 Storage 32GB eMMC flash MicroSD card slot for additional storage options Display Output – HDMI output supporting up to 3840 x 2160p30 resolutions with a pixel clock […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Digi IX40 5G edge computing industrial IoT cellular gateway is designed for Industry 4.0 use cases

Digi IX40 5G edge computing industrial IoT cellular gateway is designed for Industry 4.0 use cases

Digi IX40 5G industrial cellular IoT gateway

Digi IX40 is a 5G edge computing industrial IoT cellular router solution designed for Industry 4.0 use cases such as advanced robotics, predictive maintenance, asset monitoring, industrial automation, and smart manufacturing. The IIoT gateway is based on an NXP i.MX 8M Plus Arm processor running a custom Linux distribution, and besides 5G and 4G LTE cellular connectivity, offers gigabit Ethernet networking with 6 RJ45 and SFP ports, GNSS for geolocation and time, as well as digital and analog I/Os and an RS232/RS422/RS485 serial interface supporting Modbus. Digi IX40 specifications: SoC – NXP i.MX 8M Plus Arm Cortex-A53 processor @ 1.6 GHz with 2.3 TOPS NPU System Memory – 1GB RAM Storage – 8GB eMMC flash Wireless Cellular  IX40-05 5G NSA, 5G SA, 4G LTE-ADVANCED PRO CAT 19 5G NR bands – n1, n2, n3, n5, n7, n8, n12, n13, n14, n18, n20, n25, n26, n28, n29, n30, n38, n40, n41, […]

Posted on by Tomisin Olujinmi - No Comments on Renesas RZ/G3S is a 64-bit Arm Cortex-A55/M33 microprocessor with low power consumption and enhanced peripherals

Renesas RZ/G3S is a 64-bit Arm Cortex-A55/M33 microprocessor with low power consumption and enhanced peripherals

rzg3s lineup en

Renesas RZ/G3S 64-bit Arm Cortex-A55 microprocessor (MPU) designed for IoT edge and gateway devices consumes as little as 10µW in standby mode thanks to its Cortex-M33 core(s) and features a PCIe interface for high-speed data transfers with 5G wireless modules. A single-core ARM Cortex-A55 CPU powers the RZ/G3s and can distribute workloads to two sub-CPUs, boosting efficiency in task handling and resulting in fewer components and a smaller system size. The Cortex-A55 core operates at 1.1GHz and is designed to improve power efficiency and performance over its predecessor, the Cortex-A53. The RZ/G3S isn’t Renasas’ first Cortex-A55 product as they have previously released the RZ/A3UL and the RZ/G2L, both powered by the same Cortex-A55 CPU. Additionally, Renesas launched the 64-bit RISC-V RZ/Five processor late last year. The RZ/G3S boasts high-speed interfaces such as PCIe and GbE, a better standby mode, and improved security features which make it suitable for IoT applications […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on AMD Ryzen Embedded V3000 COM Express Type 7 module supports up to 64GB DDR5 memory

AMD Ryzen Embedded V3000 COM Express Type 7 module supports up to 64GB DDR5 memory

AMD Ryzen V3000 COM Express Module

ADLINK Express VR7 is a COM Express Basic size Type 7 computer-on-module powered by the eight-core AMD Ryzen Embedded V3000 processor with two 10GbE interfaces, fourteen PCIe Gen 4 lanes, and optional support for the “extreme temperature range” between -40°C and 85°C. The COM Express module supports up to 64GB dual-channel DDR5 SO-DIMM  (ECC/non-ECC) memory and targets headless embedded applications such as edge networking equipment, 5G infrastructure at the edge, video storage analytics, intelligent surveillance, industrial automation and control, and rugged edge servers. Express-VR7 specifications: SoC – AMD Embedded Ryzen V3000 (one or the other Ryzen V3C48 8-core/16-thread processor @ 3.3/3.8GHz; TDP: 45W Ryzen V3C44 4-core/8-thread processor @ 3.5/3.8GHz; TDP: 45W Ryzen V3C18I 8-core/16-thread processor 1.9/3.8GHz; TDP: 15W (useful in the extreme temperature range) Ryzen V3C16 6-core/12-thread processor 2.0/3.8GHz; TDP: 15W Ryzen V3C14 4-core/8-thread processor 2.3/3.8GHz; TDP: 15W System Memory – Up to 64GB (2x 32GB) dual-channel ECC/non-ECC DDR5 memory […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Generative AI on NVIDIA Jetson Orin, Jetpack 6 SDK to support multiple OSes

Generative AI on NVIDIA Jetson Orin, Jetpack 6 SDK to support multiple OSes

Jetson Orin Generative AI

NVIDIA has had several announcements at ROSCon 2023 related to robotics & embedded with highlights including generative AI on the NVIDIA Jetson Orin module and the Jetpack 6 SDK will be released next month (November 2023) with supports for Ubuntu as usual, but also other operating systems and platforms such as Debian, Yocto, Wind River, Redhawk RTOS, and Balena. Generative AI on NVIDIA Jetson Orin There’s been a lot of hype in the last year about generative AI thanks to services such as ChatGPT, Google Bard, or Microsoft Bing Chat. But those rely on closed-source software that runs on powerful servers in the cloud. As we noted in our article about the “AI in a box” offline LLM solution there are some open-source projects such as Whisper speech-to-text model and Llama2 language models that could be run on embedded hardware at the edge, but as noted by some readers platforms […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones

AAEON BOXER-8224AI – An NVIDIA Jetson Nano AI Edge embedded system for drones

BOXER 8224AI board AI Edge NVIDIA Jetson Nano embedded system

AAEON BOXER-8224AI is a thin and lightweight AI edge embedded system solution based on NVIDIA Jetson Nano system-on-module and designed for drones, or other space-constrained applications such as robotics. AAEON BOXER products are usually Embedded Box PCs with an enclosure, but the BOXER-8224AI is quite different as it’s a compact and 22mm thin board with MIPI CSI interfaces designed to add computer vision capability to unmanned areal vehicles (UAV), as well as several wafers for dual GbE, USB, and other I/Os. BOXER-8224AI specifications: AI Accelerator – NVIDIA Jetson Nano CPU – Arm Cortex-A57 quad-core processor System Memory – 4GB LPDDR4 Storage Device – 16GB eMMC 5.1 flash Dimensions – 70 x 45 mm Storage – microSD slot Display Interface – 1x Mini HDMI 2.0 port Camera interface – 2x MIPI CSI connectors Networking 2x Gigabit Ethernet via wafer connector (1x NVIDIA, 1x Intel i210) Optional WiFi, Bluetooth, and/or cellular connectivity […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Axiomtek AIE900-XNX – A 5G connected fanless Edge AI system for AMR, AGV, and computer vision

Axiomtek AIE900-XNX – A 5G connected fanless Edge AI system for AMR, AGV, and computer vision

Axiomtek AIE900-XNX

Axiomtek AIE900-XNX is a fanless Edge AI computing system powered by NVIDIA Jetson Xavier NX system-on-module designed for autonomous mobile robots (AMR), automated guided vehicles (AGV), and other computer vision applications. The system delivers up to 21 TOPS thanks to the 6-core NVIDIA Carmel ARM v8.2 (64-bit) processor, NVDLA accelerators, and 384-core NVIDIA Volta architecture GPU found in the Jetson Xavier NX module. The AIE900-XNX Edge AI computer also comes with a 5G module for high-speed cellular connectivity and supports SerDes, PoE, and MIPI CSI cameras for video processing. Axiomtek AIE900-XNX specifications: NVIDIA Jetson Xavier NX system-on-module with CPU – 6-core NVIDIA Carmel Armv8.2 64-bit CPU with 6 MB L2 + 4 MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores AI Accelerator – 2x NVDLA System Memory – 8GB 128-bit LPDDR4x onboard Storage – 16GB eMMC flash Storage –  M.2 Key M 2280 with PCIe […]