artificial intelligence

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on AI Edge Fanless Embedded Box PC is Powered by HiSilicon HI3559A Penta-Core 8K AI Camera SoC

AI Edge Fanless Embedded Box PC is Powered by HiSilicon HI3559A Penta-Core 8K AI Camera SoC

AAEON BOXER-8410AI

HiSilicon Hi3559A is a penta-core Cortex-A73/A53 processor designed for 8Kp30 or 4Kp120 smart cameras thanks to DSP cores and a single or dual-core NNIE (Neural Network Inference Engine) AI accelerator. We first found the processor in an expensive development board and noted its integration into OBSBOT Tail 4Kp60 “auto-director” smart camera and a 4Kp120 action camera. AAEON has now launched BOXER-8410AI AI Edge fanless embedded box PC based on Hi3559A V100ES processor to add an alternative to its Intel and NVIDIA based AI edge PC‘s. AAEON BOXER-8410AI specifications: SoC – Hisilicon Hi3559A V100(ES) (See product brief) CPU – Penta-core processor with 2x Arm Cortex A73 cores @ 1.8 GHz, 2x Arm Cortex A53 cores @ 1.2 GHz, 1x low power Arm Cortex A53 core @ 1.2 GHz GPU – Arm Mali-G71 MP2 GPU @ 900 MHz AI Accelerators – Quad-core DSP & dual-core NNIE MCU – Arm Cortex-M7 based Sensor […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 8 Comments on Bamboo Systems B1000N 1U Server Features up to 128 64-bit Arm Cores, 512GB RAM

Bamboo Systems B1000N 1U Server Features up to 128 64-bit Arm Cores, 512GB RAM

Bamboo Systems B1000N Arm Server

SolidRun CEx7-LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor has been found in the company’s Janux GS31 Edge AI server in combination with several Gyrfalcon AI accelerators. But now another company – Bamboo Systems – has now launched its own servers based on up to eight CEx7-LX2160A module providing 128 Arm Cortex-A72 cores, support for up to 512GB DDR4 ECC, up to 64TB NVMe SSD storage, and delivering a maximum of 160Gb/s network bandwidth in a single rack unit. Bamboo Systems B1000N Server specifications: B1004N – 1 Blade System B1008N – 2 Blade System N series Blade with 4x compute nodes each (i.e. 4x CEx7 LX2160A COM Express modules) Compute Node – NXP 2160A 16-core Cortex-A72 processor for a total of  64 cores per blade. Memory – Up to 64GB ECC DDR4 per compute node or 256GB per blade. Storage – 1x 2.5” NVMe SSD PCIe […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Qualcomm Robotics RB5 Platform Targets the Development of 5G and AI-Enabled Robots

Qualcomm Robotics RB5 Platform Targets the Development of 5G and AI-Enabled Robots

Qualcomm Robotics RB5 Platform

Qualcomm Robotics RB3 Development Platform powered by Snapdragon 845 processor gets an upgrade with Robotics RB5 Platform equipped with Qualcomm QRB5165 Robotics processor designed for industrial-grade temperature operating, and featuring a 15 TOPS Qualcomm AI Engine fo artificial intelligence and machine learning applications such as heterogeneous computing, enhanced computer vision, and multi-camera concurrency. The development platform also supports for 4G and 5G connectivity via a companion module and runs Ubuntu and ROS 2.0 operating systems. Qualcomm Robotics RB5 development kit specifications: SoC – Qualcomm QRB5165 with  Kryo 858 CPU @ up to 2.84 GHz,  Adreno 650 GPU, Adreno 665 VPU, Adreno 995 DPU, Qualcomm Hexagon DSP with quad HVX, and Qualcomm Spectra 480 ISP System Memory – 16GB LPDDR5 RAM (POP) Storage – 128 GB UFS3.0 storage, MicroSD card slot Video Output – 1x HDMI 1.4 port Audio – 2x WSA8810 Class-D on-board speaker amplifier, built-in PDM MIC, support for […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on NVIDIA Jetson Nano Powered Edge AI System Supports one PoE Camera, Operates in -30 to +60°C Temperature Range

NVIDIA Jetson Nano Powered Edge AI System Supports one PoE Camera, Operates in -30 to +60°C Temperature Range

NVIDIA Jetson Nano PoE Camera edge AI system

Axiomtek AIE100-903-FL is a fanless edge AI System powered by NVIDIA Jetson Nano system-on-module and designed to connect a single 15W PoE camera for AI computing, edge computing, smart retail, smart city, and more. The solution can operate in a wide range of temperatures from -30°C to +60°C and comes with an optional IP42-rated waterproof cover kit that makes it suitable for use in moist places and “semi-outdoor environments”  including freezers and under eaves (edges of the roof which overhang the face of a wall) and other outdoor locations with some protection against rain. Axiomtek AIE100-903-FL specifications: SoM – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 processors, 128 CUDA core NVIDIA Maxwell GPU, 4GB 64-bit LPDDR4 and 16GB eMMC flash Storage – 1x M.2 Key M 2280 with PCIe x4 NVMe SSD slot, 1x Micro SD slot Video Output – 1x HDMI 2.0 up to 4K2K @ 60 Hz Connectivity […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on ROScube Pico SBC Runs Ubuntu & ROS on Intel Atom or Rockchip PX30 Processor

ROScube Pico SBC Runs Ubuntu & ROS on Intel Atom or Rockchip PX30 Processor

RoScube Pico SBC Devkit

ADLINK has launched ROScube Pico SBC designed for robotics projects and powered by either an Intel Atom x5 Apollo Lake processor or a Rockchip PX30 Arm Cortex-A35 processor via their SMARC-compliant system-on-modules namely LEC-AL and as LEC-PX30. Both models run Ubuntu and ROS/ROS-2 operating systems simultaneously, and the company also provides NeuronBot robotics development and demo kit based on the SBC. ROScube Pico SBC and Devkit If ROScube Pico looks similar it’s because it appears to be based entirely on ADLINK previously announced ADLINK Industrial-Pi (I-Pi) SMARC Development Kit based on Rockchip PX30, and Vizi-AI development starter kit based on Atom x5-E3940 SoC and Movidius Myriad X VPU. Those are the specifications listed for ROScube Pico: SMARC Module For ROScube Pico NPS-1 – LEC-AL with Intel Atom processor, Intel Movidius Myriad X AI accelerator, 8GB LPDDR4 RAM, 32GB eMMC For ROScube Pico NPS-4 – LEC-PX30 with Rockchip PX-30 quad-core Cortex-A35 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on TTGO T-Watch K210 / K210 AIOT Watches Perform Face Detection with Kendryte K210 RISC-V Processor, ESP32 WiSoC

TTGO T-Watch K210 / K210 AIOT Watches Perform Face Detection with Kendryte K210 RISC-V Processor, ESP32 WiSoC

TTGO-Watch-K210

After covering ESP32 based TTGO T-Watch-2020 programmable watch last month, I noticed LilyGO launched “TTGO T-Watch K210 AIOT” watch with Kendryte K210 RISC-V AI SoC and a camera for face detection and recognition, and while searching for information, I discovered another apparently similar “TTGO T-Watch K210“. But let’s look into the specifications to find out what the differences are. I first came across TTGO T-Watch K210 AIOT, so let’s have a look at some preliminary specifications for this model: AI Processor – Kendryte K210 RISC-V Dualcore 64bit with FPU with 8MB SRAM Storage – 16MB QSPI flash, MicroSD card socket Display I/F – FPC connect for external display (not included) Camera – 2MP OV2640 sensor Audio – MAX98357A Audio codec; CVSD & SBC audio encoding Connectivity – 2.4 GHz 802.11b/g/n WiFi 4 up to 150 Mbps, Bluetooth 4.2 BR/EDR and BLE Debugging – USB-C port via CP2104 Expansion UART, SPI, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on Samsung Exynos 880 SoC Targets Mid-Range 5G Smartphones

Samsung Exynos 880 SoC Targets Mid-Range 5G Smartphones

Samsung Exynos 880

5G used to be reserved for premium smartphones, but with processors such as Qualcomm Snapdragon 765G and Huawei/Hisilicon Kirin 820, 5G cellular connectivity is also coming to mid-range smartphones. Samsung Exynos 880 brings another option to the mid-range 5G handsets market. The octa-core Cortex-A77/A55 mobile processor comes with a Mali-G76 GPU, an NPU and a DSP for on-chip AI acceleration, and supports 5G downloads up to 3.55 Gbps, uploads up to 1.38 Gbps. Samsung Exynos 880 specification: CPU – Dual-core Cortex-A77 processor @ 2.0GHz, hexa-core Cortex-A55 processor @ 1.8 GHz GPU – Arm Mali-G76 MP5 On-Device AI – Neural processing unit (NPU) and digital signal processor (DSP) System Memory Type – LPDDR4x Storage I/F – UFS 2.1, eMMC 5.1 Display – Up to Full HD+ (2520×1080) resolution Camera – Single-camera up to 64MP, Dual-camera up to 20MP+20MP Video – 4K UHD 30fps encoding and decoding with HEVC/H.265, H.264, and VP9 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 18 Comments on Arm Announces Cortex-A78 CPU, Mali-G78 GPU, Ethos-N78 NPU and Custom Cortex-X1 Core

Arm Announces Cortex-A78 CPU, Mali-G78 GPU, Ethos-N78 NPU and Custom Cortex-X1 Core

Arm Cortex A78

Arm has just announced its 2020 Arm Mobile IP portfolio with no less than five IP blocks including Arm Cortex-A78 CPU, Arm Mali-G78 and G68 GPUs, Arm Ethos-N78 neural processing unit, and the custom Cortex-X program starting with Cortex-X1, the most powerful Arm core to date. Arm Cortex-A78 CPU Cortex-A78 highlights: Architecture –  Armv8-A (Harvard) Extensions – Armv8.1, Armv8.2, Cryptography, and RAS; Armv8.3 (LDAPR instructions only) ISA support – A64, A32, and T32 (at EL0 only) Microarchitecture Pipeline – Out of order Superscalar Neon / Floating Point Unit Optional cryptography Unit Max number of CPUs in cluster – 4 Physical Addressing (PA) – 40-bit Memory system and external interfaces 32KB to 64KB L1 I-Cache / D-Cache 256KB to 512KB L2 Cache Optional 512KB to 4MB L3 Cache ECC and LPAE support Trustzone security Cortex-A78 delivers 20% extra performance compared to Cortex-A77 at the same power budget (one Watt), but peak […]