artificial intelligence

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on $249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

$249 NVIDIA Jetson Orin Nano Super Developer Kit targets generative AI applications at the edge

NVIDIA Jetson Orin Nano Super Development Kit

NVIDIA Jetson Orin Nano Super Developer Kit is an upgrade to the Jetson Orin Nano Developer Kit with 1.7 times more generative AI performance, a 70% increase in performance to 67 INT8 TOPS, and about half the price, making it a great development platform for generative AI at the edge, mostly robotics. We’ve seen several AI boxes and boards in the last year capable of offline generative AI applications like the Firefly AIO-1684XQ motherboard or Radxa Fogwise Airbox which I reviewed with Llama3, Stable diffusion, Imgsearch, etc… A product like the Fogwise Airbox delivers up to 32 TOPS (INT8) and sells for around $330 which was very competitive then (June 2024). However, the Jetson Orin Nano Super Developer Kit will certainly disrupt the market with over twice the performance, a lower price, and a larger developer community. NVIDIA Jetson Orin Nano Super specifications: NVIDIA Jetson Orin Nano 8GB Module CPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Khadas Mind 2 AI Maker Kit – An Intel Core Ultra 7 258V “Lunar Lake” mini PC for developers

Khadas Mind 2 AI Maker Kit – An Intel Core Ultra 7 258V “Lunar Lake” mini PC for developers

Khadas Mind 2 AI PC Dev Kit

Khadas recently announced the Mind 2 mini PC with an Intel Core 5 or 7 “Meteor Lake” mini PC. But the company is prepping the launch of another similar device called the “Khadas Mind 2 AI Maker Kit  Dev Workstation” or “Intel Core Ultra Processor (Series 2) AI PC Dev Kit” with a 15th Gen Intel Core Ultra 7 258V “Lunar Lake” processor offering up to 115 TOPS of AI performance. I’ll just call it “Khadas Mind 2 AI Maker Kit” for shorts. The system ships with 32GB RAM and a 1TB SSD, and Khadas says the new system is designed specifically for developers working on AI PC applications, but apart from the faster SoC, it comes with similar features as the Mind 2. This includes HDMI 2.0 video output, two 40Gbps USB4 ports, Wi-Fi 6E (802.11ax), and Bluetooth 5.3 connectivity, as well as two USB 3.2 Gen2 Type-A ports […]

Posted on by Tomisin Olujinmi - No Comments on STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STMicro releases STM32N6 Cortex-M55 MCU series with in-house NPU and dedicated computer vision pipeline

STM32N6 AI Demo

STMicro has announced the availability of the STM32N6 microcontroller series based on the 800MHz ARM Cortex-M55 and the 600 GOPS-capable Neural-ART Accelerator. The STM32N6 is the company’s “newest and most powerful STM32 series,” bringing MPU-level performance to MCUs. It is the first STM32 to feature the Arm Cortex-M55 and offer up to 4.2MB of embedded RAM. Additionally, the chip includes ST’s NeoChrom GPU and an H.264 hardware encoder. According to Remi El-Quazzane, MDRF (Microcontrollers, Digital ICs, and RF Products) President at STMicro, the STM32N6 “marks the beginning of a long journey of AI hardware-accelerated STM32, which will enable innovations in applications and products in ways not possible with any other embedded processing solution.” STMicro offers two versions of the STM32N6 MCU: the STM32N6x7 AI line featuring the Neural-ART accelerator and the STM32N6x5 GP (general-purpose) product line without an NPU. The microcontroller series is primarily targeted at computer vision and audio […]

Posted on by Debashis Das - No Comments on Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed’s MaixCAM-Pro AI camera devkit adds 2.4-inch LCD, 1W speaker, PMOD interface on top of WiFi 6 and BLE 5.4

Sipeed MaixCAM Pro AI camera devkit

Sipeed has recently released the MaixCAM-Pro AI camera devkit built around the SOPHGO SG2002 RISC-V (and Arm, and 8051) SoC which also features a 1 TOPS NPU for AI tasks. The module includes a 2.4-inch color touchscreen and supports up to a 5MP camera module. Other features include WiFi 6, BLE 5.4, optional Ethernet, built-in audio capabilities, a PMOD interface, GPIOs, and more. Additionally, it features an IMU, RTC chip, and AXP2101 power management for enhanced performance. The module is designed for AI vision, IoT, multimedia, and real-time processing applications. Just a few months back, Sipeed introduced the MaixCAM AI camera devkit, which is also built around the SOPHGO SG2002 RISC-V SoC. The new module improves on the MaixCAM with a redesigned PCB, upgraded casing, and various new features including a 2.4-inch IPS touchscreen (640×480), a 1W speaker, expanded IO interfaces, a power button, and an illumination LED. It also […]

Posted on by Debashis Das - No Comments on VOIPAC iMX93 industrial development kit targets AI, HMI, and Edge Computing applications

VOIPAC iMX93 industrial development kit targets AI, HMI, and Edge Computing applications

Voipac iMX93 Industrial Development Kit

VOIPAC Technologies has recently launched its iMX93 Industrial Development Kit (iMX93 module and iMX development baseboard) which comes in Max, Pro, Basic, and Lite configurations. The system-on-module (SoM) is built around the NXP i.MX93 SoC with dual-core Arm Cortex-A55 application processor running at up to 1.7GHz, a Cortex-M33 co-processor running at up to 250MHz, and an Arm Ethos-U65 microNPU with up to 0.5 TOPS of AI performance. Other features include DDR4 memory, eMMC Flash, and industrial-grade 100-pin shielded connectors for signal integrity and thermal performance. Additionally, the devkit also exposes CAN, PWM, ADC, etc.. signals and supports WiFi 6, Bluetooth 5.3, and dual GbE. These features make the VOIPAC iMX93 industrial development kit suitable for applications including AI, machine learning, human-machine interface (HMI) solutions, and more. iMX93 Industrial Development Kit specifications: System-on-Module (four options) iMX93 Industrial Module Max SoC – NXP i.MX 93 dual-core @ 1.7 GHz with real-time Cortex-M33 co-processor NPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 11 Comments on Allwinner A733 octa-core Cortex-A76/A55 AI SoC supports up to 16GB RAM for Android 15 tablets and laptops

Allwinner A733 octa-core Cortex-A76/A55 AI SoC supports up to 16GB RAM for Android 15 tablets and laptops

Allwinner A733

Allwinner A733 is an octa-core Cortex-A76/A55 processor with an optional 3 TOPS NPU and support for up to 16GB RAM designed for Android 15 tablets and laptops such as the Teclast P50Ai with a 10.92-inch touchscreen display. With two Cortex-A76 cores, six Cortex-A75 cores, an Imagination BXM-4-64 MC1 GPU, and an NPU, the Allwinner A733 looks very similar to the Allwinner A736 we noted in a roadmap last year. But there’s no news about the A736, so maybe the name was dropped and the Allwinner A733 was launched instead. Allwinner A733 specifications: CPU Dual-core Arm Cortex-A76 @ up to 2.00 GHz Hexa-core Arm Cortex-A55 @ up to 1.79 GHz Single-core RISC-V E902 real-time core GPU – Imagination Technologies BXM-4-64 MC1 VPU 8Kp24 H.265/VP9/AVS2 decoding (no mention of AV1) 4Kp30 H.265/H.264 encoding AI accelerator – Optional 3 TOPS NPU Memory 192 KB SRAM + 512 KB shared SRAM 32-bit LPDDR4/LPDDR4x/LPDDR5 interface […]

Posted on by Paisit Wongsongsarn - 1 Comment on SONOFF CAM Slim Gen2 Review – A tiny indoor security camera tested with eWeLink and Home Assistant

SONOFF CAM Slim Gen2 Review – A tiny indoor security camera tested with eWeLink and Home Assistant

SonoffCAMSlim2 Cover

We have received the latest tiny indoor security camera from SONOFF: the second generation of the CAM Slim series known as the CAM Slim Gen2 (or CAM S2 for shorts). Some of you might remember the first-generation CAM Slim model reviewed by Jean-Luc about two years ago. The Gen2 version keeps the same 1080p resolution but comes with several upgraded features, including AI algorithms to distinguish living beings, customizable detection zones, customizable privacy zones, sleep mode, enhanced low-light image quality, and flexible storage management. Although it’s packed with several enhancements, its price is lower than the Gen1. Let’s delve into the details! SONOFF CAM Slim Gen2 unboxing Inside the box, you’ll find a compact manual, a USB-C cable, a mounting kit, and a sticker template acting as a drilling guide. The camera is smaller than your palm and comes mounted on a versatile, rotatable base, making installation in various positions […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 16 Comments on Boardcon Compact3588S SBC – A Raspberry Pi 5 alternative based on Rockchip RK3588S AI SoC with M.2 socket for SSD or 4G LTE module

Boardcon Compact3588S SBC – A Raspberry Pi 5 alternative based on Rockchip RK3588S AI SoC with M.2 socket for SSD or 4G LTE module

Boardcon Compact3588S SBC Raspberry Pi 5 Alternative

Boardcon Compact3588S SBC is another Raspberry Pi 5 alternative powered by a Rockchip RK3588S octa-core Cortex-A76/A55 SoC with a 6 TOP NPU for AI acceleration, up to 16GB RAM, up to 256GB eMMC flash, and all the features found in the Raspberry Pi 4, plus an M.2 socket supporting either an NVMe SSD or a 4G LTE module in conjunction with a Nano SIM card slot. It more closely follows the Raspberry Pi 4 form factor, but Rockchip RK3588S’ performance and capabilities make it a direct Raspberry Pi 5 competitor. Contrary to most credit card-sized single board computers, it follows a carrier board + soldered-on system-on-module design, rather than a single PCB. Boardcon Compact3588S specifications: SoC – Rockchip RK3588S CPU – Octa-core processor with 4x Cortex-A76 cores @ up to 2.4 GHz, 4x Cortex-A55 cores @ up to 1.8 GHz GPU – Arm Mali-G610 GPU with OpenGL ES 3.2,  OpenCL […]

UP 7000 x86 SBC