Kendryte K510 tri-core RISC-V AI processor deliver up to 3 TOPS

Kendryte K510 Block Diagram

Kendryte K510 is a 64-bit tri-core RISC-V processor clocked at up to 800 MHz with AI accelerators that succeed the 400 MHz Kendryte K210 dual-core RISC-V AI processor released a few years ago first in Kendryte KD233 board, and then boards like Maxduino or Grove AI HAT conveniently programmable with Arduino or Micropython. Canaan formally announced the processor yesterday at the 2021 World Artificial Intelligence Conference claiming K510 had three times the performance of K210 making it suitable for UAV high-definition aerial photography, high-definition panoramic video conferences, robotics, STEAM education, driver assistance scenarios, and industrial and professional cameras. The press release did not have much information, but multiple sources provided additional details to CNX Software, so we have Kendryte K510 specifications: Processor – 2x 64-bit RISC-V processor @ 800 MHz, and 1x 64-bit RISC-V core @ 800 MHz with DSP extension AI subsystem with 3 TOPS in total KPU: General […]

u-blox introduces WiFI 5/6 & Bluetooth 5 M.2 cards

ublox wifi-6 & bluetooth 5 m2 cards

u-blox is well known for its wireless modules be it WiFi, Bluetooth, GPS, or cellular connectivity that are soldered unto CPU modules or boards. But the company has now introduced two M.2 cards with WiFi 5 or WiFi 6 and Bluetooth 5.x that work with NXP i.MX evaluation and development boards. M2-JODY-W2 M.2 card The M2-JODY-W2 card comes with the following features: Connectivity Wi-Fi 5 1×1 SISO IEEE 802.11ac data rates up to 433 Mbit/s (PHY, MCS9), beamforming Supports 802.11d/e/h (DFS)/i/k/r/u/v/w/ai Wi-Fi 20, 40, and 80 MHz channels Bluetooth BR/EDR and Bluetooth low energy v5.0 supporting 2 Mbit/s Access point mode for up to 8 stations 2x u.FL antenna connectors Host interfaces SDIO & UART host interfaces PCM interface for Bluetooth audio Security Hardware encryption engines: AES and TKIP WPA, WAPI, WPA2, WPA3, WPS, and Easy Connect Dimensions – M.2 Type 2230 Key E form factor Certifications – Chipset is […]

ArmSoM RK3588 AIModule7 NVIDIA Jetson Nano-compatible SOM

Reverse engineering the SDK for BL602 RISC-V WiFi & BLE microcontroller

BL602 decompiled C code

Bouffalo Lab BL602, and its big brother BL604 with extra GPIOs, are RISC-V microcontrollers with WiFi and Bluetooth LE that offer an alternative to Espressif Systems ESP32 Xtensa based WiSoC, although Espressif has also designed its own RISC-V solution: ESP32-C3. Soon after the “announcement” in October 2020, we found out the SDK and a relatively cheap BL602 board, but the SDK has many closed-source binaries. Soon after Sipeed and Pine64 expressed their interest in developing an open-source toolchain and even an open-source WiFi (and BLE) stack. Time has passed and even got a Pinecone board in January, but did not do anything with it, especially seeing the status of the software. The same cannot be said for Lup Yuen Lee (aka MrTechBlog) who spent a lot of time doing interesting with Pine64 BL602 module and board including playing and thoroughly documenting his work with Tensorflow Lite, connecting the board to […]

Tiger Lake UP3 single board computer offers quad displays, 2.5 GbE, PCIe Gen4, up to 32GB RAM

tiger lake up3 single board computer

Taiwan Commate Computer Inc, also known as just Commell, has unveiled LE-37O 3.5-inch single board computer based on Intel Tiger Lake UP3 embedded processors for industrial applications. The SBC supports up to 32GB DDR4 single-channel memory, up to four displays through DisplayPort, HDMI, VGA, and LVDS interfaces, and offers both Gigabit Ethernet and 2.5 GbE ports, as well as PCIe Gen4 via an M.2 socket. Commell LE-37O specifications: SoC – Intel Tiger Lake UP3 processor with Iris Xe graphics; FBCGA1449 package; 12-28W TDP; default: Core i7-1185G7E quad-core/octa-thread processor; option: Celeron 6305E dual-core processor System Memory – 1x 260-pin DDR4 3200 MHz SO-DIMM up to 32GB non-ECC, unbuffered memory Storage – 2x SATA III ports with RAID 0,1 support, M.2 and mSATA storage (see Expansion section) Video Outputs HDMI port DisplayPort port 24-bit dual channel LVDS connector with +3.3V/+5V/+12V supply; 1x LCD inverter connector VGA connector Quad independent display support Optional […]

End-of-life notice issued for Intel Lakefield hybrid processors

end-of-life intel lakefield hybrid processor

Intel launched Core i3-L13G4 and Core i5-L16G7 penta-core Lakefield Hybrid processors last year with one high-performance Sunny core, and four high-efficiency Atom Tremont cores, in a way that’s similar to what Arm is doing with DynamIQ and before that, big.LITTLE technology. The new processors were found in Lenovo ThinkPad X1 Fold foldable tablet and Samsung Galaxy Book S laptop, both premium products sold for over $2,000. Even some large websites never got hold of a testing sample of those products, and Anandtech has just reported that Intel published a product change notification (PCN) with the title “Select Intel Core Processors with Intel Hybrid Technology, PCN 118334-00, Product Discontinuance, End of Life”. The discontinuance of Lakefield hybrid processors is a shocker considering they were just introduced last year, but I don’t think it will affect many people as I hadn’t heard about any upcoming boards or products based on Intel’s hybrid […]

15.6-inch Panel PC supports Intel Comet Lake socketed processors

AAEON Panel PC dual Ethernet, serial, USB 3.2

AAEON OMNI-2155-CML is an industrial touch panel PC with a 15.6-inch display, and a choice of 10th generation Intel Core and Celeron Comet Lake processors, as well as various I/O features. The system comes with two SO-DIMM sockets for up to 64GB DDR4 RAM, M.2 and SATA storage, dual Gigabit Ethernet, two serial ports, four USB 3.2 ports, and support for a wide input voltage range. AAEON OMNI-2155-CML specifications: Supported socketed processors Intel Core i9-10900TE 10-core/20-thread processor @ 1.80 GHz / 4.50 GHz (Turbo) with 20 MB Smart Cache, Intel UHD Graphics 630 @ 350 MHz / 1.20 GHz; TDP: 35 W Intel Core i7-10700TE 8-core/16-thread processor @ 2.00 GHz / 4.40 GHz  with 16 MB Smart Cache, Intel UHD Graphics 630 @ 350 MHz / 1.15 GHz; TDP: 35W Intel Core i5-10500TE 6-core/12-thread processor @ 2.30 GHz / 3.70 GHz with 12 MB Smart Cache, Intel UHD Graphics 630 […]

Advertisement

Chuwi Hi10 Go Jasper Lake Tablet launched for $288 and up

Chuwi Hi10 Go

Chuwi Hi10 Go is a Windows 10 tablet powered by a Jasper Lake processor, namely a Celeron N4500, and equipped with a 10.1-inch Full HD display, 6GB RAM, and 128GB of storage that is currently sold on Aliexpress for $288 and up with shipping expected to start in August 2021. Last April, we wrote about a Jasper Lake Mini PC by Newsmay Technology, and at the time, we were told mass production would go ahead on May 10th, but there have been delays, and Chuwi Hi10 Go appears to be one of the very first Jasper Lake devices to be available to consumers. Chuwi Hi10 Go tablet specifications: SoC- Intel Celeron N4500 dual-core processor @ 1.1GHz-2.8GHz with Intel UHD Graphics @ 350-750MHz; 6W TDP System Memory – 6GB LPDDR4X Storage – 128GB eMMC flash, MicroSD card socket Display – 10.1-inch touchscreen IPS display with 1920×1200 resolution, 16:10 aspect ratio Video […]

AIfES for Arduino high-efficiency AI framework for microcontrollers becomes open source

AlFes for Arduino

AIfES (AI for Embedded Systems) is a standalone, high-efficiency, AI framework, which allows the Fraunhofer Institute for Microelectronic Circuits and Systems, or Fraunhofer IMS for short, to train and run machine learning algorithms on resource-constrained microcontrollers. So far the framework was closed-source and only used internally by Fraunhofer IMS, but following a collaboration with Arduino, AIfES for Arduino is now open-source and free to use for non-commercial projects. The framework has been optimized to allow 8-bit microcontrollers such as the one found in Arduino Uno to implement an Artificial Neural Network (ANN) that can be trained in moderate time. That means offline inference and training on small self-learning battery-powered devices is possible with AIfES without relying on the cloud or other devices. The library implements Feedforward Neural Networks (FNN) that can be freely parameterized, trained, modified, or reloaded at runtime. Programmed in C language, AIfES uses only standard libraries based […]

Boardcon CM3588 Rockchip RK3588 System-on-Module designed for AI and IoT applications