MAX78000 RISC-V & Cortex-M4F MCU enables IoT artificial Intelligence in battery-powered devices

MAX78000 Evaluation Kit

Now even endpoints like sensors are capable of running basic artificial intelligence workloads thanks to microcontroller-class chips with built-in AI accelerators or instructions such as Kneron KL720 Arm Cortex-M4 AI SoC, GAP8 RISC-V IoT processor, or Cortex-M55 MCU core coupled with Ethos U55 MicroNPU. Maxim Integrated has now launched its own AI capable microcontroller with MAX78000 combining a Cortex-M4F core, a 32-bit RISC-V core, and a CNN accelerator enabling AI inferences at less than 1/100th the energy or 100 times the speed of software solutions making especially suited for battery-powered AI applications. MAX78000 specifications: Ultra-Low-Power microcontrollers Arm Cortex-M4F core with FPU Up to 100MHz with 512KB Flash and 128KB SRAM 32-Bit RISC-V ultra-low-power co-processor up to 60MHz Neural Network Accelerator optimized for Deep Convolutional Neural Networks​​ (CNN) 442k 8bit Weight Capacity with 1,2,4,8-bit Weights Input Image Size up to 1024 x 1024 pixels Network Depth up to 64 Layers Layer […]

Xilinx Zynq UltraScale+ ZU19EG MPSoC Devkit Offers HDMI 2.0, 10GbE, High-Speed Transceivers

Zynq Ultrascale+ ZU19EG Development Kit

iWave Systems iW-RainboW-G35D is a development kit powered by Xilinx Zynq UltraScale+ ZU19EG Arm Cortex-A53 and FPGA MPSoC coupled with 4GB DDR4 RAM with ECC for the processing system (PS) & 4GB dual-channel DDR4 RAM for the programmable logic (PL). The board is equipped with HDMI 2.0 output/input ports supporting 4Kp60 UHD resolutions, a 10GbE SFP+ cage, FMC+, FMC, FireFly, and QSFP connectors for high-speed transceivers, and more. iW-RainboW-G35D specifications: iW-RainboW-G35M SoM Xilinx Zynq Ultrascale+ ZCU19EG MPSOC (-1 speed) with four Cortex-A53 cores @ 1200 MHz, dual-core Arm Cortex-R5 MPCore up to 600MHz, FPGA fabric with 1,143K logic cells, and Arm Mali-400 MP2 GPU (lower-end ZCU17EG and ZCU11EG MPSoC are also available) System Memory 4GB DDR4 RAM for PS 4GB Dual DDR4 RAM for PL Storage – 8GB eMMC Flash (for boot code) Transceivers PS-GTR Transceivers x 4 @ 6Gbps PL-GTH Transceivers x 32 @ 16.3Gbps PL-GTY Transceivers x 16 […]

Learn more about Hailo-8 AI accelerator and understanding AI benchmarks

Hailo 8 Development Kit

Last week we wrote about Hailo-8 M.2 card delivering up to 26 TOPS of AI performance, and comparing well against Google Edge TPU and Intel Movidius Myriad X  both in terms of footprint, performance, and efficiency. I’ve since then had a conference call with Liran Bar, VP of Business Development for Hailo, where we had time to discuss more about Hailo’s AI solutions, and how to interpret & understand AI benchmarks that may be misleading in many instances. Hailo-8 Architecture In the first post, we noted the chip managed to get the extra performance and efficiency thanks to a “proprietary novel structure-driven Data Flow architecture instead of the usual Von Neumann architecture”. But that’s a bit abstract, so Liran told me one of the key reasons for the performance improvement is that RAM is self-contained without the need for external DRAM like other solutions. This decreases latency a lot and […]

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

Jetson Nano 2GB Developer Kit

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 […]

FeatherS2 Board Brings ESP32-S2 to Adafruit Feather Form Factor

FeatherS2 Pinout Diagram

We’ve covered a fair number of development boards following Adafruit Feather form factor in the last year or so with products such as QuickFeather Cortex-M4 + FPGA board, OrangeCrab (Lattice FPGA), nRF9160 Feather providing LTE IoT & GPS connectivity, and other boards. But here’s yet another Adafruit Feather themed board that has just launched: FeatherS2. The tiny board is equipped with the latest Espressif Systems ESP32-S2 WiFi SoC, 16 MB SPI Flash, 8 MB PSRAM, several I/O, and a USB-C port for power and programming. FeatherS2 key features and specifications: SoC – ESP32-S2 single-core Tensilica LX7 processor @ 240 MHz, RISC-V ultra-lower power co-processor, 320 kB SRAM, 128 kB ROM Memory – 8 MB extra PSRAM Storage – 16 MB SPI Flash Connectivity – 2.4 GHz Wi-Fi – 802.11b/g/n with 3D antenna USB – 1x USB-C port for power and programming Sensor – ALS-PT19 Ambient Light Sensor Expansion 16 + […]

Mango-DVK OpenWrt Devkit Features 2.5GbE, WiFi 6 SoM powered by Qualcomm IPQ6000/IP6010 SoC

Mango-DVK 2.5GbE, WiFI 6 SBC

We’ve been covering some 802.11ax WiFI 6 embedded networking boards from Wallys Communications and Compex in the last few months, but 8devices has now entered the fray with Qualcomm IPQ6000/IPQ6010 powered Mango WiFi 6 system-in-module available in commercial or industrial temperature range, as well as as a development kit based on the module. Mango SoM supports dual-band 2×2 MiMo 802.11ax and multi-Gigabit Ethernet connectivity, features up to 2GB RAM, 256MB NAND flash, and runs OpenWrt Linux with target applications including routers, gateways, and access points. Mango SoM Specifications: SoC (one or the other) Qualcomm IPQ6000 quad-core Cortex-A53 processor @ up to 1.2 GHz with hardware NAT engine, HW crypto Qualcomm IPQ6010 quad-core Cortex-A53 processor @ up to 1.8 GHz with hardware NAT engine, HW crypto System Memory – 512MB DDR3L 512MB (up to 2GB) Storage – 32MB NOR FLASH, up to 256MB NAND flash Networking Wireless 2.4GHz 802.11 b/g/n/ac/ax WiFi […]

Windows 10 capable Rock Pi X SBC Launched for $59 and Up

Rock pi x

Radxa unveiled Rock Pi X intel SBC powered by an Intel Atom x5-Z8350 processor over a year ago with a starting price of just $39 making one of the cheapest Windows 10 single board computer together with Atomic Pi, but the latter is not super convenient to use. What’s new is that you can now buy Rock Pi X SBC, but not quite for $39 since the board has been redesigned, and instead, you’ll find the 4GB RAM/32GB eMMC flash model (Rock Pi X B4E32) for $75 on Seeed Studio, but if you can do with 2GB RAM and 16GB flash storage, AllNetChina has stock for $59 plus shipping. Those are the so-called model B boards with WiFi and Bluetooth, as well as support for an optional PoE module. Rock Pi X model B specifications: SoC – Intel Atom x5-Z8350 “Cherry Trail” quad-core processor @ 1.44 GHz / 1.92 GHz […]

New STM32H7 Cortex-M7 MCUs Clock at 550 MHz, Feature Octal SPI Flash and Ethernet Interfaces

STM32H7 Family Matrix with 550MHz Cortex-M7 MCU

STMicro launched STM32H7 single-core Cortex-M7 microcontroller family a while ago, followed by some dual-core Cortex-M7/M4 models, with most clocked up to 480 MHz. The company has now announced five faster parts clocked at up to 550 MHz with STM32H723, STM32H733, STM32H725, STM32H735, and STM32H730 which STMicro claims is “the fastest core speed in the market among MCUs that integrate Flash storage on-chip to run deeply embedded applications”. The embedded flash storage is important, as you may now NXP i.MX RT1170 Cortex-M7/M4 crossover processor can reach up to 1 GHz but does not include flash storage. Key differences in STM32H7 550 Mhz MCUs We’ve highlighted the five new microcontrollers in the table above, and beside the higher 550 MHz frequency delivering 2778 CoreMark and 1177 DMIPS, we can see those are the only parts that support both OctoSPI flash and Ethernet, and all five parts are designed for HMI applications with […]