sdk News - Page 7 of 54 - CNX Software

March 31, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

SOPHON BM1684/BM1684X Edge AI computer delivers up to 32 TOPS, decodes up to 32 Full HD videos simultaneously

Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD are nearly identical Edge AI embedded computers based on respectively SOPHON BM1684 and BM1684X Arm AI SoC delivering up to 32 TOPS of AI inference, and capable of decoding up to 32 H.265/H.264 Full HD videos simultaneously for video analytics applications. The BM1684(X) SoCs are equipped with eight Cortex-A53 cores clocked at 2.3 GHz to run Linux, and the systems come with up to 16GB RAM, 128GB flash, two Gigabit Ethernet ports to receive the video streams, one HDMI output up to 1080p30 for monitoring, as well as RS232 and RS485 DB9 connectors, and a few USB ports. Firefly EC-A1684JD4 FD and EC-A1684XJD4 FD specifications: SoC – SOPHGO SOPHON BM1684/BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3GHz TPU BM1684 64 NPU arithmetic units with each NPU containing 16 EU arithmetic units, or 1,024 EU in total Up to 17.6 TOPS (INT8), […]

March 22, 2023March 25, 2023 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

$499 NVIDIA Jetson Orin Nano Developer Kit delivers up to 80x Jetson Nano Devkit performance

NVIDIA Jetson Orin Nano Developer Kit is an upgrade to the popular Jetson Nano Developer Kit that delivers 80 times the performance, up to 50 times the performance per watt, and gives the developers the ability to design entry-level AI-powered robots, smart drones, intelligent vision systems, and more. The Jetson Orin Nano has a similar form factor as the original Jetson Nano, but is fitted with a Jetson Orin Nano 8GB module with up to 40 TOPS AI performance, and is equipped with a DisplayPort video output, USB 3.2 Gen 2 ports, two M.2 Key M sockets for SSDs, Gigabit Ethernet, a pre-installed Wi-Fi module, and connectors for cameras. NVIDIA Jetson Orin Nano Developer Kit specifications (compared to Jetson Nano Developer Kit-B01) The new developer kit is supported by the Ubuntu 20.04-based NVIDIA JetPack 5.1.1 SDK, as well as application-specific frameworks such as NVIDIA Isaac ROS and DeepStream, which are […]

February 9, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Android 14 developer preview brings enhancements to performance, privacy, security, and user customization

Google has just released the first developer preview of Android 14 with productivity improvements for developers, as well as enhancements to performance, privacy, security, and user customization. Android 14 aims to work better across devices and form factors with improved support for tablets and foldables and adds window size classes, sliding pane layout, Activity embedding, and box with constraints, etc… To help developers, the company also published “Get started with large screens” documentation and released a Cross-device SDK preview. The new version of the mobile operating systems also further streamlines background work to optimize system health and battery life and provide a better end-user experience. This is achieved through updates to JobScheduler and Foreground Services, optimized broadcasts most of which are internal to Android 14, and a new “Exact alarms” permission since it consumes more resources. Android 14 also introduced some user-facing changes with bigger fonts up to 200% with […]

January 19, 2023January 19, 2023 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

CHIPSEA CST85F01 480 MHz Cortex-M4 MCU supports dual-band WiFi 6 and Bluetooth 5.0 LE

CHIPSEA CST85F01 is an Arm Cortex-M4F microcontroller clocked at up to 480 MHz and designed for IoT applications with dual-band (2.4/5.0 GHz) WiFi 6 with TWT (Target Wake Time) support, Bluetooth 5.0 LE, and a range of I/Os. Following the recent availability of 2.4 GHz WiFi 6 IoT chips such as Espressif Systems ESP32-C6 and Bouffalo Lab BL616, CHIPSEA CST85F01 offers an alternative with dual-band WiFi 6 connectivity while we are waiting for the launch of the ESP32-C5 RISC-V microcontroller. CST85F01 specifications: CPU core – Arm Cortex-M4F CPU with MPU and FPU @ up to 480 MHz Memory – 992 KB SRAM, SDR/DDR PSRAM interfaces Storage – 752 KB ROM, 8 Mbit to 128 Mbit flash WiFi features 2.4GHz/5GHz Wi-Fi 6 Data rates up to 286.8 Mbps (Tx) and 229.4 Mbps (Rx) with 20/40 MHz bandwidth Rx sensitivity – -98dBm in 11b mode, -93.5dBm in MCS0 HT20 mode Tx power […]

January 9, 2023January 10, 2023 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Panthronics PTX30W is a 1W NFC wireless charging listener IC

Panthronics PTX30W is an NFC wireless charging listener chip that can receive up to 1W as per the NFC Wireless Charging (WLC) specification unveiled in 2020 and integrates a power management unit and a Li-Ion battery charger. Offered in a compact 3.2mm2 (1.78 x 1.78 mm) WL-CSP package, the PTX30W will enable small battery-powered products, such as smartwatches and other wearables, to be charged over NFC. The chip can operate in standalone mode or connected to a host microcontroller, and the company claims it is around four times smaller than existing designs based on multiple discrete components. PTX30W features and specifications: Integrated NFC Wireless Charging Listener device Efficient Active Rectifier RF interface according to Forum Type 2 Tag Li-Ion battery charger with charging current from 5mA to 250mA MCU LDO with 1.8V or 3.3V output, up to 50mA Embedded power negotiation logic High-efficiency NFC wireless charging listener IC with up […]

January 2, 2023January 7, 2023 by Jean-Luc Aufranc (CNXSoft) - 14 Comments

$150 Axelera M.2 AI accelerator module claims to deliver up to 214 TOPS

Axelera M.2 AI accelerator module is said to deliver up to 214 TOPS of AI inference and up to 3200 FPS with ResNet -50 in a compact M.2 2280 form factor. Few details are available at this time, but the module is based on the company’s Metis AIPU (AI Processing Unit) using in-memory computing based on arrays of SRAM memory devices used to “store a matrix and perform matrix-vector multiplications “in-place” without intermediate movement of data”. This technology is said to “radically” increase the number of operations per computer cycle with without suffering from issues such as noise or lower accuracy. The Metis AI platform delivers 50+ TOPS per core (RISC-V-controlled dataflow engine), offers FP32 equivalent accuracy, and has a 15 TOPS/W energy efficiency. The last point is impressive, but that means 214 TOPS won’t be reachable with the module shown above, since the M.2 form factor is designed to […]

December 29, 2022January 16, 2023 by Jean-Luc Aufranc (CNXSoft) - 20 Comments

Bouffalo Lab BL616/BL618 RISC-V MCU supports WiFi 6, Bluetooth 5.2, and Zigbee

Bouffalo Lab BL616/BL618 is a 32-bit RISC-V wireless microcontroller with support for 2.4 GHz WiFi 6, Bluetooth 5.2 dual-mode, and an 802.15.4 radio for Zigbee, Thread, and Matter designed for IoT applications. We first spotted the BL616 RISC-V IoT MCU during the BL602/BL606 announcement in November 2020, but we had virtually no additional information about it so far. It appears both BL616 and BL618 will be launched next month with the main difference between the two being that BL616 has 19 GPIOs and BL618 comes with 35 GPIOs. Bouffalo Lab BL616 and BL618 specifications: MCU core – 32-bit RISC-V CPU (RV32IMAFCP) @ up to 320 MHz with FPU and DSP, 32KB instruction cache & 16KB data cache VPU – MJPEG video encoder Memory – 480KB SRAM, 4KB HBN RAM, embedded 4 or 8MB pSRAM (optional) Storage – 128KB ROM, 4Kb eFuse, embedded 2, 4, or 8MB flash (optional), XIP QSPI […]

December 12, 2022December 12, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Aetina launches ASIC-based Edge AI system with a 16 TOPS Blaize P1600 embedded SoM

Aetina AIE-CP1A-A1 ASIC based Edge AI system

Aetina AIE-CP1A-A1 is a compact, ASIC-based Edge AI system powered by the Blaize Pathfinder P1600 embedded system-on-module (SoM) equipped with dual-core Cortex-A53 processor, the Blaize Graph Streaming Processor (GSP) architecture delivering up to 16 TOPS, and 4GB RAM. The Aetina AI inference system also comes with 8GB eMMC flash, HDMI video output, Gigabit Ethernet, two USB 3.2 ports, and a serial interface, with the small-sized embedded computer targetting computer vision applications such as object detection, human motion detection, and automated inspection. Aetina AIE-CP1A-A1 specifications System-on-Module – Blaize PathFinder P1600 SoM SoC – Blaize 1600 dual ArmCortex A53 processor with H.264/H.265 encode and decode, MIPI CSI/DSI camera interfaces, PCIe Gen 3.0, Blaize GSP 16 TOPS AI accelerator supporting INT8, INT16, BF16, FP16, FP32, and FP64 data formats System Memory – 4GB LPDDR4 Storage – 64 MB Quad SPI NOR Flash Carrier board interface – 400-pin board-to-board connector Cooling – Thermal transfer […]