J721E DRA829/TDA4VM/AM752x – Texas Instruments Cortex-A72 based Monster SoC’s

Texas Instruments unveiled their first 64-bit processor in 2018 with TI AM654 “Keystone III” quad-core Arm Cortex-A53 + dual lockstep Cortex-R5F processor designed for general embedded and industrial applications. The company is now working on a more powerful processor with J721E SoC with Cortex-A72 cores belonging to the K3 Multicore SoC architecture platform appearing in TI Linux git repository. Ti J721E is a monster of an SoC, not necessarily in terms of CPU processing power, but it has an amazing amount of features and peripherals. I’m not going to list all specifications of this monster SoC, and we’ll do with J721E highlights instead: CPU Dual Cortex-A72 up to 2.0 GHz in a single cluster Up to three clusters of lockstep capable dual Cortex-R5F MCUs @ 1.0 GHz AI Accelerator / DSP Deep-learning Matrix Multiply Accelerator (MMA) @ up to 1.0 GHz (8 TOPS for 8-bit inference) C7x floating-point Vector DSP @ up to 1.0 GHz (80 GFLOPS) Up to two …

SC-10 SHARK is a Faster 3D Printer with Optional Laser Engraving, Bicolor, and Auto-leveling (Crowdfunding)

Printing a 3D model usually takes hours, if not days, so anything that can speed up the printing time while keeping the same quality should be welcomed. LOTMAXX SC-10 SHARK 3D printer promises to reduce the standard print time by up to 30%. How did they exactly make a faster 3D printer? Thanks to “Aeolus Heat Dissipation system” (AHDS) with four fans to cool the nozzle and “S Move System” (SMS) helping the motors travel at a high speed. The printer also happens to be a multifunction printer with support for laser engraving and bicolor printing. SC-10 SHARK launched on Kickstarter several weeks ago and raised over $200,000 US from around 620 backers with 12 days to go. SC-10 SHARK 3D printer key features & specifications: Molding technology – FDM Print Speed – Up to 200mm/s; normal speed: 45-90mm/s Printing Accuracy – +/-0.1mm Layer thickness – 0.1 to 0.4 mm Nozzle diameter – Standard: 0.4mm; 0.2 and 0.3mm nozzles are …

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Miniature Inertial Navigation System Integrates 9-axis IMU Sensor and RTK GNSS with 1cm Accuracy

SBG Systems Ellipse-D is an industrial-grade inertial navigation system (INS) equipped with a 9-axis IMU sensor, a dual-antenna RTK GNSS module with one-centimeter accuracy, and a 64-bit microprocessor for processing the data. The inertial navigation system also includes a temperature sensor and a pressure sensor, supports odometer input, and is available in either Box or OEM versions. SBG Systems Ellipse-D inertial navigation sensor specifications: SoC – Unknown 64-bit microprocessor for data processing GNSS – Dual antenna GNSS with support for GPS, GLONASS, GALILEO, BEIDOU; Supported features: SBAS, RTK, RAW Sensors – 3-axis gyroscope, 3-axis accelerometer, 3-axis magnetometer, temperature sensors, pressure sensor Host Interface RS-232, RS-422, USB  up to 921,600 bps CAN 2.0A/B up to 1 Mbit/s Protocols – Binary eCom, NMEA, ASCII, TSS Input Voltage – 5 – 36 V Power Consumption – < 1,000 mW Dimensions & Weight Box: 46 x 45 x 32 mm | 65 grams OEM: 29.5 x 25.5 x 16 mm | 17 grams The …

Linux powered STMicro STM32MP1 Solder-down QFN-Style SoM Measures 27x27mm

STMicro STM32MP1 Cortex A7/M4 processor was launched last year with support for Linux and Android. Since then we’ve seen a few STM32MP1 SBC‘s, development kit and modules,  with some of the latter really compact with DHCOR STM32MP157 SoM found on Avenger96 board measuring just 29x29mm. Direct Insight has now unveiled QFN-style solder-down QSMP systems-on-module based on STM32MP1 that measure just 27 x 27 x 2.3mm and manufactured in Germany by Ka-Ro Electronics. Direct Insight / Ka-Ro STM32MP1 QSMP modules specifications: SoC QSMP-1510 module – STMicro STM32MP151A single-core Cortex-A7 processor up to 650 Mhz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1530 module – STMicro STM32MP153A dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz QSMP-1570 module – STM32MP157C dual-core Cortex -A7 processor up to 650 MHz, plus Arm Cortex-M4 real-time core up to 200 MHz and Vivante 3D GPU with OpenGL ES 2.0 support System memory & Storage QSMP-1510 – …

ASUS Chromebit CS10 Chrome OS PC Stick Sells for $69.99 (Promo)

Chromebit CS10 Promo

ASUS Chromebit CS10 was the cheapest Chrome OS hardware when it launched in 2015. Equipped with a Rockchip RK3288-C quad-core processor coupled with 2 GB RAM and 16 GB eMMC. plus one HDMI port and one USB port it was offered for $85. Five years later it’s still available, and while the list price has slightly increased to $89, Chromebit CS10 is now offered for just $69.99 on Amazon US. Here’s a reminder of ASUS Chromebit CS10 specifications: SoC – Rockchip RK3288-C quad-core Cortex A17 processor with ARM Mali-T764 GPU. System Memory – 2 GB LPDDR3 Storage – 16 GB eMMC flash, plus 100G Google Drive for 2 Year free usage (not sure if this is still an option as we’ll discuss below) Video Output – HDMI Connectivity – Dual-band 802.11 2×2 (MIMO) a/b/g/n/ac WiFi 5, Bluetooth 4.0 USB – 1x USB 2.0 host port, 1x micro USB OTG port Power – 5V via micro USB port Dimensions – 123 …

$99 EFR32xG22 Wireless Gecko Starter Kit Offers Low-Cost Zigbee Development Platform

Silicon Labs has just launched a low-cost Bluetooth, Zigbee, and proprietary wireless development kit with the $99 EFR32xG22 Wireless Gecko Starter Kit (WSTK). This WSTK includes two +6 dBm radio boards, matching network, and PCB antennas for +6 dBm output power in the 2.4 GHz band, as well as on-board J-Link debugger. Previously you had to purchase the $479 EFR32xG21 Wireless Gecko Starter Kit to get access to the Zigbee SDK in order to get started with development, and the new starter kit makes it possible to get access to the same software resources and documentation for around $100. EFR32xG22 Wireless Gecko Starter Kit (SLWSTK6021A) content, key features & specifications: BRD4001A Wireless Starter Kit Mainboard WiSoC – Wireless Gecko Series 2 Arm Cortex-M33  @ 80 Mhz Display – Low-power 128×128 memory TFT LCD Connectivity – Ethernet port USB – 1x Micro USB port for programming and power  Debugging Advanced Energy Monitor Packet Trace Interface Virtual COM port SEGGER J-Link on-board …

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ZOTAC ZBOX CI622 Nano Barebone, Fanless Comet Lake Mini PC Launched for $400

We’ve covered some Intel Comet Lake mini PC‘s in the past from pretty much unknown brands with products such as XCY X41 and an unnamed Eglobal fanless Comet lake mini PC. If you feel uncomfortable buying from such companies, GIGABYTE is one option, and there’s now another alternative with ZOTAC ZBOX CI622 Nano barebone, fanless mini PC launched on Amazon for $400with a 15W Intel Core i3-10110U dual-core Comet Lake processor. Alternatively, you could also get the virtually identical ZBOX CI642 Nano for $459.99 with a slightly more powerful Core i5-10210U quad-core processor. ZOTAC ZBOX CI622 Nano specifications: SoC – Intel Core i3-10110U dual-core/quad-thread processor @ 2.1GHz / 4.1GHz (Turbo) with Intel UHD Graphics ; 15W TDP System Memory – 2x DDR4-2666/2400 SODIMM Slot up to 32GB Storage – 1x 2.5-inch SATA 6.0 Gbps SSD/HDD slot, 3-in-1 SD/SDHC/SDXC card reader Video Output HDMI 2.0 up to 3840×2160 @ 60Hz DisplayPort 1.2 up to 4096×2160 @ 60Hz Audio – 3.5mm headphone …

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

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 up to 8TB per compute node, or 32TB per blade …

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