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October 6, 2020October 6, 2020 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

NVIDIA Jetson Nano 2GB Developer Kit Launched for $54 and up

NVIDIA Jetson Nano Developer kit was introduced in March 2019 for $99. With a quad-core Cortex-A57 processor, a 128-core Maxwell GPU, and 4GB LPPDR4 RAM, it’s a great low-cost AI platform as we wrote in our Jetson Nano getting started guide where we show how to perform inferences on still images and an RTSP video stream. The company has now gone further in providing an affordable AI computer for developers with the launch of NVIDIA Jetson Nano 2GB Developer Kit with similar features except for the 2GB RAM, and pricing starting at $54 without a wireless adapter or $59 with 802.11b/g/n/ac WiFi 5 USB dongle. Pre-orders are open on sites like Amazon or Seeed Studio and shipping is scheduled to start at the end of the month. If we look at the photo above, there are very few differences against the $99 version, and indeed most of Jetson Nano 2GB […]

October 2, 2020October 7, 2020 by Jean-Luc Aufranc (CNXSoft) - 19 Comments

Hailo-8 M.2 and mini PCIe AI accelerator cards deliver up to 26 TOPS

[Update Sep 3, 2020: The post has been edited to correct Google Coral M.2 power consumption] If you were to add M.2 or mPCIe AI accelerator card to a computer or board, you’d mostly have the choice between Google Coral M.2 or mini PCIe card based on the 4TOPS Google Edge TPU, or one of AAEON AI Core cards based on Intel Movidius Myriad 2 (100 GOPS) or Myriad X (1 TOPS per chip). There are also some other cards like Kneron 520 powered M.2 or mPCIe cards, but I believe the Intel and Google cards are the most commonly used. If you ever need more performance, you’d have to connect cards with multiple Edge or Movidius accelerators or use one M.2 or mini PCIe card equipped with Halio-8 NPU delivering a whopping 26 TOPS on a single chip. Hailo-8 M.2 accelerator card key features and specifications: AI Processor – […]

October 1, 2020October 2, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Vizy AI camera runs Tensorflow, OpenCV, PyTorch on Raspberry Pi 4 (Crowdfunding)

We previously covered Charmed Labs PIXY2 computer vision camera based on an NXP LPC4330 microcontrollers that worked with Arduino, Raspberry Pi, and other development boards. The company is now back with a fully integrated more powerful solution with Vizy AI camera featuring a Raspberry Pi 4 SBC with up to 8GB RAM. Vizy AI camera key features and specifications: SBC – Raspberry Pi 4 with Broadcom BCM2711 quad-core Arm Cortex-72 processor, up to 8 GB RAM Camera – High-resolution camera based on Sony iMX477 12.3 MP sensor that can capture at over 300 frames/second and support both daytime and nighttime viewing; Both M12 and C/CS lenses are supported Video Output – 2x micro HDMI ports Audio – Analog stereo audio port Networking – Gigabit Ethernet, dual-band WiFi 5, and Bluetooth 5.0 USB – 2x USB 3.0 ports, 2x USB 2.0, 1x USB Type-C port from Raspberry Pi 4 (But not […]

September 29, 2020 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

ASRock iBOX 1100 Industrial Mini PC Features Intel Tiger Lake UP3 Embedded Processor

We recently covered COM Express and COM-HPC modules powered by Intel Tiger Lake UP3 embedded processors announced last week. ASRock is now the first company to officially announce a Tiger Lake UP3 mini PC based on the new 15W IoT processors. ASRock iBOX 1000 rugged embedded computer is fitted with the company’s NUC-1100 motherboard that offers four 4K display outputs, 2.5GbE networking, and various other expansions and I/Os in order to target factory automation, AGV, retail kiosk, digital signage, entertainment, transportation, and other AIoT applications. ASRock iBOX 1100 specifications: SoC (one or the other) Intel Core i7-1185G7E quad-core/octa-thread Tiger Lake UP3 embedded processor @ up to 1.8 GHz / 4.4 GHz (Turbo) with 96EU Iris Xe Graphics; 15W TDP (Configurable between 12 and 28W) Intel Core i5-1145G7E quad-core/octa-thread Tiger Lake UP3 embedded processor @ up to 1.5 GHz / 4.1 GHz (Turbo) with 80EU Iris Xe Graphics; 15W TDP (Configurable […]

September 27, 2020August 13, 2022 by Jean-Luc Aufranc (CNXSoft) - No Comments

Lantronix Open-Q 865XR SoM Brings Snapdragon XR2 Processor Beyond Virtual Reality

Lantronix Snapdragon XR2 Development Kit

Qualcomm Snapdragon XR2 (SXR2130P) is the latest and most powerful virtual & extended reality processor from the company and Facebook recently announced it would be found in their Oculus Quest 2 standalone VR headset. But it now looks like the processor will be used well beyond virtual reality applications as Lantronix has unveiled a Snapdragon XR2 SoM with Open-Q 865XR system-on-module designed for AI boxes, video conference systems, multi-camera systems, machine vision platforms, advanced high-resolution multi-display systems, medical imaging, and handheld data collectors. Open-Q 865XR SoM Open-Q 865XR SoM specifications: SoC – Qualcomm SXR2130P (Snapdragon XR2) Octa-core processor with 1x Kryo Gold prime @ 2.84 GHz + 3x Kryo Gold @ 2.42 GHz + 4x Kryo Silver @ 1.81 GHz Adreno 650 GPU @ up to 587 MHz Hexagon 698 DSP with quad Hexagon Vector eXtensions Spectra 480 Image Signal Processor Adreno 665 Video Processing unit for decode up to […]

September 24, 2020September 24, 2020 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

Intel Tiger Lake UP3 COM Express Module Offers High AI Performance, PCIe Gen4 Interface

cExpress-TL Tiger Lake UP3 COM Express Module

Earlier today, Intel announced the Elkhart Lake IoT edge processor family, and as well as more 15W Tiger Lake Core i3/i5/i7 UP3 processors designed for IoT & embedded applications, and with a configurable TDP from 12W to 28W. ADLINK Technology is leveraging existing and those new Tiger Lake UP3 processors with the cExpress-TL COM Express Type 6 module based on the various Intel Core i7/i5/i3 and Celeron Tiger Lake UP3 SKUs delivering three times the AI inferencing performance of older platforms thanks to AVX-512 Vector Neural Network Instructions (AVX512 VNNI) instructions and equipped with the latest PCIe Gen4 expansion interface. cExpress-TL COM Express Tiger Lake module specifications: SoC (one or the other) Intel Core i7-1185G7E quad-core/octa-thread processor with 12MB cache, Intel Iris Xe graphics with 96x EU; up to 28W TDP (cTDP 15W) Intel Core i5-1145G7E quad-core/octa-thread processor with 8MB cache, Intel Iris Xe graphics with 80x EU; up to […]

September 24, 2020September 24, 2020 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Intel Unveils Atom x6000E Series, Celeron and Pentium Elkhart Lake IoT Edge Processors

We’ve been expecting Intel Elkhart Lake processors for more than a year, and the company has now officially announced the “IoT-enhanced processors” with a new Atom x6000E Series, as well as some Celeron and Pentium N/J parts. Last year, we thought Elkhart Lake would succeed Gemini lake, but the new 11th generation 10nm processors may not be found in many consumer devices, as they target IoT edge applications with additional artificial intelligence (AI), security, functional safety, and real-time capabilities. The company has announced a total of 12 Elkhart Lake processors with all but one featuring 10th Generation Intel UHD Graphics and divided into eight Atom x6000E series processors. and four Celeron/Pentium parts Intel further explains Elkhart Lake IoT edge processors deliver up to two times better 3D graphics compared to Pentium J4205 Apollo Lake processor, come with Intel Programmable Services Engine real-time offload engine with support for out-of-band and in-band […]

September 22, 2020September 22, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

TechNexion Unveils EDM and AXON SoM’s Powered by NXP i.MX8M Plus SoC

A few days ago we wrote about Variscite’s NXP i.MX 8M Plus-powered AI systems-on-modules and devkits, and now it’s TechNexion’s turn to introduce its own SoM’s for artificial intelligence applications. Just like variscite, the company has two variants with EDM-G-IMX8M-PLUS following the EDM standard with a 260-pin edge connector, and AXON-E-IMX8M-PLUS part of the AXON family with board-to-board connectors better suited to vibration-prone applications. Besides the form factor and different default storage capacities, both SoM’s share the same specifications: SoC – NXP i.MX8M Plus quad-core Cortex-A53 processor @ up to 1.8 GHz with Cortex-M7 real-time core @ 400 MHz, Vivante GC520L 2D GPU, Vivante GC7000UL 3D GPU, 1080p60 hardware decoder (HEVC, H.264, VP9, and VP8) and encode (H.265/H.264), and 2.3 TOPS NPU System Memory – Up to 8 GB LPDDR4 Storage AXON-E-IMX8M-PLUS – 32 GB eMMC flash by default EDM-G-IMX8M-PLUS – 16 GB eMMC flash by default Networking Chips Qualcomm […]