SiFive Intelligence X280 processor Gets Upgraded to Meet the Needs of Modern Workload

SiFive Inc., founder and leader of RISC-V computing, has enhanced its SiFive Intelligence X280 processor to deliver unmatched scalability, security, and great interoperability to the X280 processor– a powerful solution for anyone looking for alternatives to legacy SIMD-style architectures.

“The new X280 enhancements are a direct result of listening and collaborating with customers and are already designed into multiple sockets around the world,” said Chris Jones, VP Product at SiFive. “The market feedback about our X280 has been nothing short of incredible. The product maps extremely well to the needs of the modern workload and vector processing and was introduced at the exact right moment to accelerate RISC-V’s already considerable momentum. Additionally, the software ecosystem around the RISC-V vector extension is growing exponentially which ensures broad support for customers and is driving the inevitable, wide industry adoption of RISC-V.”

The multi-core and multi-cluster capable RISC-V processor build on the foundation of the SiFive Essential product portfolio to offer the utmost in flexibility to a designer, targeting applications with the most demanding vector computational capabilities.

The X280 processor is optimized for AI/ML computing at the edge. It was made publicly available last year and has seen rapid adoption in a wide variety of data-driven applications including AI inference, image processing, and datacenter acceleration, as well as in the automotive sector. This is largely due to its unique combination of performance, power efficiency, and an intuitive programming model.

Some Key Features of the Improved SiFive are: 

  • a new interface (Vector Coprocessor Interface eXtension) that allows for seamless integration between the X280 vector unit and customer-designed external AI accelerators or other coprocessors
  • Scalability up tp 16-core cache-coherent complex, and,
  • WorldGuard trusted protection solution that brings execution environment to high core count platforms, protecting ML/AI algorithms from malicious attacks.

The SiFive X280 processor also features 64-bit RISC-V ISA, a high-performance memory subsystem, virtual memory support with up to 48-bit addressing, a multi-layer caching support for optimum data movement, 256-vector ALU, 512-bit vector register length, a high-performance and flexible connectivity to SoC peripherals.

The X280 processor has the full support of the RISC-V vector extension standard and SiFive Intelligence Extensions. It is most suitable for a number of applications including AR, VR, sensor hubs, gaming devices, IVI systems, IP cameras and digital cameras. It offers high-throughput alongside single-thread performance while under power constraints.

Other useful details about the X280 can be found on the product page.

Microchip introduces 5G connection in new 8-bit MCU board 

Microchip Technology Inc, a leading provider of smart, connected, and secure embedded control solutions, has designed a new AVR-IoT cellular development board to help designers who need the ultimate in location flexibility, low-power consumption, and deployment simplicity. The board, which is based on the AVR128DB48 8-bit microcontroller (MCU), offers a robust platform to start building sensor and actuator nodes on 5G narrowband IoT networks.

“Microchip continues to expand its family of AVR® 8-bit MCUs for developers to implement a variety of embedded designs with ease and flexibility,” said Greg Robinson, VP marketing for the company’s 8-bit MCU business unit. “The ability to connect remote and mobile devices to a 5G narrowband network with an 8-bit MCU opens up new opportunities for battery-operated devices because of key factors such as low power combined with high-quality analog peripherals.”

The mini development board has a small form factor that makes it ideal for users who want to connect IoT to any available 5G network. This feature is particularly important for devices in areas with limited availability of Long Range or Low Power Wide Area Network Solutions.

It also offers functionality that covers the core requirements of many applications such as building automation and remote monitoring, alarm systems, transport systems, and other applications in the agricultural, industrial, and energy sectors. It comes with the ability to send data from on-board light and temperature sensors to the cloud, and be viewed via the company’s sandbox portal.

The company partnered with Sequans to include its Monarch 2 GM02S single-chip radio equipped with 5G LTE-M and narrowband IoT. It also collaborated with Truphone to provide the SIM card that would be used for cellular service, one with reliable coverage across the globe. All these attempts to provide an efficient and more cost-effective solution connecting IoT devices to 5G using the AVR128DB48 MCU.

“The Monarch 2 GM02S is a 5G-ready LTE-M and narrowband-IoT solution on a single-chip, which we designed specifically for narrowband IoT applications, including sensors, wearables and other low-data, low-power devices,” said Didier Dutronc, Executive VP of Partnership Strategy at Sequans.

The AVR-IoT Cellular mini development board fits the Adafruit feather form factor and is Arduino compatible. The AVR-IoT cellular mini development board is available and currently sells at $60. Other useful details can be found on Microchip’s Purchasing and Client Services Website, or just contact their sales rep. Microchip‘s sandbox page also has a tutorial on how to get started and establish a connection with the cellular mini development board.

IoTFi cellular connectivity board with RP2040 microcontroller and inbuilt GPS technology

IoTFi 2G4G Development Board Specs

This one’s exciting! A UK-based embedded developer in collaboration with SB Components has designed an IoT development board with support for a rich set of connectivity options. The hardware platform has 2G and 4G cellular connectivity through a separate antenna for both. For 2G, the onboard SIM868 module supports GSM/GPRS and GNSS with low-power consumption and supported frequency bands of 800/900/1800/1900 MHz.

The IoTFi cellular connectivity board is built around the Raspberry Pi in-house silicon tapeout RP2040 microcontroller fabricated using 40nm silicon and comes with an integrated static RAM. The board also has an ESP32, a low-power system-on-chip with support for Wi-Fi and dual-mode Bluetooth wireless connectivity. The board is equipped with a 3.5mm audio jack and an SD card slot to expand the onboard storage.

Apart from the enhanced wireless experience, IoTFi cellular connectivity board features a high-resolution 1.14-inch LCD display for displaying various sensor parameters. There is also an onboard accelerator and Bluetooth 2.0 module, making the hardware platform run next-gen applications. As the company says, “This All-in-One device is capable of calling and transmitting messages to any of your devices.”

IoTFi 2G4G Development Board

Specifications of IoTFi cellular connectivity board:

  • Microcontroller: Raspberry Pi RP2040 microcontroller featuring a dual-core Arm Cortex-M0+ processor core clocked up to a frequency of 133MHz
  • Wireless module: ESP32 system-on-chip with built-in support for Wi-Fi and dual-mode Bluetooth
  • Cellular connectivity: microSIM and SD slots for 2G via SIM868 and 4G via SIM7600G. Also, an inbuilt Bluetooth 2.0 module with support for enhanced data rate and faster PSK modulation
  • Antennas: 2x antennas– GSM and GPS
  • Display: 1.14-inch LCD display with a resolution of 135×240 pixels
  • Audio: 3.5mm audio jack
  • Sensors: Accelerometer module
  • Power: USB Type-C connector for power as well as transmitting data
  • Dimensions:
    • 80×60 mm for 2G variant
    • 100×70 mm for 4G variant

On the software support, the hardware platform provides the flexibility to use several programming languages, such as Arduino, Python, and C/C++. There are several applications that can be built including fetching GPS coordinates, using it as a navigation system, integrating it as a security device, as a vehicle tracking device, as well as a home automation system.

The package contains an IoTFi cellular connectivity board, a GSM antenna, and a GPS antenna. The board was primarily looking for crowdfunding through Kickstarter product page, but is currently unavailable. Interested people can sign up on the Mailchimp page to get notified when available.

Rohde & Schwarz announces on-wafer device characterization test solution

Rohde & Schwarz now offers a test solution for full RF performance characterization of the DUT on-wafer which combines the powerful R&S ZNA vector network analyzer from Rohde & Schwarz with industry-leading engineering probe systems from FormFactor. As a result, semiconductor manufacturers can perform reliable and repeatable on-wafer device characterization in the development phase, during product qualification, and in production.

5G RF front-end designers aim to ensure proper RF capabilities for frequency coverage and output power while optimizing energy efficiency. An important phase in this process is investigating the RF design, to get feedback on the design as early as possible and assess the performance and capabilities already on the wafer level. Characterizing a DUT in an on-wafer environment requires a measurement system that includes a vector network analyzer (VNA), a probe station, RF probes, cables or adapters, a dedicated calibration method as well as calibration substrates for the particular DUT or application.

To perform these essential measurements, Rohde & Schwarz is supplying the high-end R&S ZNA vector network analyzer, which characterizes all RF qualification parameters at coaxial and waveguide levels, as well as frequency extenders for application ranges above 67 GHz. FormFactor addresses the wafer contact with manual, semi-automated, and fully automated probe systems including thermal control, high-frequency probes, probe positioners, and calibration tools. The calibration of the complete test system, including the R&S ZNA, is fully supported in the FormFactor WinCal XE calibration software.

In the test setup, the user has access to all test capabilities of the R&S ZNA thanks to the fully calibrated setup. Generic S-parameter tests allow characterization for filters and active devices, but distortion, gain and intermodulation tests can also be performed to qualify power amplifiers. Frequency translating measurements for mixers with phase characterization across the bandwidth of the device are another example of the supported measurement applications of the joint solution. The fully calibrated setups also allow all results to be directly taken from the VNA without postprocessing as the calibration data are applied directly to the VNA. Frequency extenders from Rohde & Schwarz open up sub-THz frequencies such as D-band, currently the focus of 6G research. The extenders will be integrated into the probe station to ensure the shortest cabling and enable optimal dynamic range while avoiding losses due to cabling to the probe tip.

For further information about qualifying RF characteristics on wafer-level and how the solutions from FormFactor and Rohde & Schwarz work together, read the app card: https://www.rohde-schwarz.com/_56279-1241099.html

LILYGO 8-channel T-Relay board with Espressif ESP32-WROVER-E module

LILYGO T-Relay Board

As an upgraded version of LILYGO’s four-channel relay board, the company has announced a new 8-channel relay board with an onboard Espressif ESP32-WROVER-E module for wireless connectivity. LILYGO T-Relay board has a unique programming tool– T-U2T automatic downloader to upload the program– looks just like a dongle with a connector male to the board and a connector female to the USB Type-C cable. It is important to note that if you do not own a T-U2T dongle, then you would require one to upload the program to this 8-channel T-Relay board.

At the heart of the relay board is the ESP32-WROVER-E powerful microcontroller module supporting Wi-Fi and Bluetooth Low Energy wireless connectivity. Primarily designed for low-power sensor networks and also targets heavy workload tasks, such as voice encoding, music streaming, and MP3 decoding. The hardware comes with a PCB antenna featuring a 4MB SPI flash storage and an additional 8MB SPI Pseudo static RAM. There are two CPU processing cores that can be controlled independently and the CPU clock frequency is adjustable from 80MHz to 24MHz. The chip also has a low-power co-processor that can be used to replace the CPU to save power on light tasks that do not require heavy computing.

Specifications of LILYGO 8-channel T-Relay board:

  • Microcontroller board: Espressif ESP32-WROVER-E module with an ESP32-D0WD-V3 chip and has an adjustable CPU frequency from 80 MHz to 240 MHz
  • Wireless connectivity: Wi-Fi IEEE802.11b/g/n and Bluetooth LE v4.2
  • Relays: 8-relays through integrated HRS4H-DC5V relay and has 8 blue LED relay work indicators.
  • Expansion: 16 expansion GPIOs
  • USB ports: 1x USB Type-C for prog
  • Power supply: Operating at a power supply of 12V to 24V DC input
  • Dimensions: 17×8.5×1.8 cm

 

LILYGO T-Relay Board Specs
LILYGO T-Relay Board Specifications [Image Credit: Hackster News]
The T-U2T dongle tool is required to upload the program which connects to the onboard USB Type-C port. Tx and Rx in the T-U2T are connected inside the dongle and the reference pictures have more information. For software support, the manufacturer has provided detailed documentation on using Arduino IDE and PlatformIO in the official GitHub repository.

Currently unavailable on the Tindie company page, the LILYGO 8-channel T-Relay board can be bought on AliExpress starting at $25.28 including shipping. Another option is to choose the four-relay board with an onboard ESP32 module, priced at $10.37.

Arduino announced two LoRa devices in collaboration with RAKwireless

Arduino WisGate Edge Pro

Arduino and RAKwireless have collaborated to announce the launch of two industrial-grade LoRa devices– WisGate Edge Lite 2 and WisGate Edge Pro. RAKwireless WisGate offers a cost-efficient solution and acts as an LPWAN base station with multiple backhaul connectivity options. The user-friendly WisGateOS2 software also makes it one of the most popular LoRaWAN gateways available on the market.

Arduino WisGate Edge Pro provides high transmission power and two fibreglass antennas with 5dBi gain making it an ideal solution for outdoor deployments. The hardware platform supports a dual LoRaWAN concentrator to provide secure and reliable connectivity. It also includes an on-pole and DIN-rail installation kit.

“To execute Arduino Pro’s vision, it was crucial to add a strong LoRaWAN gateway offering,” said Massimo Banzi, co-founder of Arduino. “We are thrilled to have found a perfect fit in RAKwireless WisGate Edge products. We look forward to delivering compelling solutions to our customers.”

Arduino WisGate Edge Lite 2 offers coverage for indoor applications featuring an enclosed design with efficient cooling and an optional DIN rail mounting. Gateways offer high performance, leveraging a user-friendly design approach, detailed tutorials and technical documentation. The hardware provides the flexibility for implementing private networks directly connecting to the cloud platform and is also compatible with public networks.

WisGate Features

  • Secure Ethernet, Wi-Fi or LTE connectivity
  • High transmission power and dual fiberglass antennas with 5dBi gain (WisGate Edge Pro only)
  • Choose the coverage you need: WisGate Edge Lite 2 for deep coverage in multi-story buildings, or WisGate Edge Pro for IoT commercial outdoor deployment
  • Rapid setup and diagnostics, backup and data logging thanks to an SD card slot
  • WisGateOS, powered by RAKwireless™, based on the fully customizable, open-source OpenWRT
  • Ideal for implementing private networks directly connected to cloud platforms; compatible with public networks
  • Limited cabling for installation thanks to POE (Power Over Ethernet)
  • Comprehensive technical documentation by RAKwireless™
  • Easy installation: WisGate Edge Lite 2 comes with an enclosure designed for efficient cooling and optional DIN rail mounting; WisGate Edge Pro includes an on-pole and DIN-rail installation kit

On the software side, the gateways support RAKwireless WisGateOS, based on fully customizable open-source OpenWRT. As a unified operating system for WisGate Edge gateways, RAKwireless aims to replace the different firmware available in the market.

“At RAKwireless we have spent the last 8 years developing best-in-class hardware and software for the LoRaWAN ecosystem,” added Ken Yu, CEO of RAKwireless. “We are very proud to see our gateways, both indoors and outdoors, selected to join the Arduino Pro lineup. Together we will help our customers build and expand LoRaWAN infrastructures with reliable equipment.”

At the LoRa Alliance World Expo, Arduino and RAKwireless demonstrated the LoRa gateways at the RAKwireless Booth 36A. The product pages are still not up and running on the Ardunio e-commerce store, but the company has offered interested folks to contact them directly at the Arduino Pro custom support.

Pimoroni Inventor 2040 W hits the market to support the RPi Pico W community

Pimoroni Inventor 2040 W

Raspberry Pi Pico W has started to gain attention from other manufacturers to support the growing Raspberry Pi Pico community. One such example is the Pimoroni Inventor 2040 W, a battery-powered board that features support for up to six servos, a little speaker, and also comes with a battery connector. This carrier board fits the Raspberry Pi Pico W development board with a detailed look at the various functionalities which are evidently visible.

If you are looking to interface your favorite sensors to get more functionalities on the tiny form factor Raspberry Pi Pico W, the Pimoroni Inventor 2040 W looks like the ideal carrier board currently available on the market. Pimoroni Inventor 2040 W gets two JST-SH connectors for attaching motors, and a 2-pin JST-PH connector for attaching battery of input voltage 2.5V and 5.5V.

Specifications of Pimoroni Inventor 2040 W:

  • Compatible MCU: Raspberry Pi Pico W microcontroller board with dual-core Arm Cortex-M0+ processor core running at a clock speed of up to 133MHz and integrated 264kB SRAM
  • Connector: 6-pin 2 JST-SH connector for attaching motors, 2-pin Picoblade compatible connector for attaching speaker, and 2-pin JST-PH connector for attaching a battery
  • Header pins: 6 sets of header pins for connecting 3-pin servos and 6 sets of header pins for GPIO
  • LEDs: 12x addressable RGB LEDs and Neopixels
  • Buttons: User and Reset button
  • Interfaces: 2x Qwiic and STEMMA QT connectors for attaching breakouts
  • Software support: C/C++ and MicroPython libraries

Pimoroni Inventor 2040 W Board

On the software support, the manufacturer has provided C/C++ and MicroPython libraries through a GitHub repository to provide an easy way to interface with the functions of the board. Pimoroni has also provided a detailed guide to get started with motor functions, servo functions, and also MicroPython and C++ examples.

One of the reasons to purchase this Pimoroni Inventor 2040 W carrier board is to build a wireless robot that can be remotely controlled using Wi-Fi support on the Raspberry Pi Pico W microcontroller board. With the support of attaching motors through 2 JST-SH connectors, the user can build a remote-controlled car as well.

Pimoroni Inventor 2040 W carrier board is currently on sale for £34.50 on the official product page with worldwide shipping.

Cerebra establishes a new benchmark for training largest AI models on a single processor

Cerebras Systems

Cerebras Systems recently announced a milestone of training multibillion-parameter Natural Language Processing (NLP) models, including GPT-3XL 1.3 billion models, GPT-J 6B, GPT-3 13B, and GPT-NeoX 20B, on a single CS-2 system. According to the claims made by Cerebras Systems, a single CS-2 system with a single Cerebras wafer can now train models with up to 20 billion parameters, a feat that has never been accomplished on a single device. A CS-2 machine, around 26 inches tall, may be placed into a typical data center rack.

In NLP, generally larger models trained on a larger amount of data are found to be more accurate. The conventional method of training a large NLP model involved splitting up the model onto a number of GPUs. Cerebras decreases the system-engineering time required to run big NLP models from months to minutes by allowing a single CS-2 to train these models. Additionally, it eliminates one of the most obnoxious NLP features—partitioning the model among thousands or hundreds of tiny graphics processing units (GPUs).

Cerebras Systems

As quoted by Kim Branson, SVP of Artificial Intelligence and Machine Learning at GSK,

“GSK generates extremely large datasets through its genomic and genetic research, and these datasets require new equipment to conduct machine learning. The Cerebras CS-2 is a critical component that allows GSK to train language models using biological datasets at a scale and size previously unattainable. These foundational models form the basis of many of our AI systems and play a vital role in the discovery of transformational medicines.”

The scale and computing power of the Cerebras Wafer Scale Engine-2 (WSE-2) and the Weight Streaming software architectural upgrades made accessible by the introduction of version R1.4 of the Cerebras Software Platform combined to achieve this engineering feat in the field of Artificial Intelligence. Cerebras’ WSE-2 has 2.55 trillion more transistors and has 100 times as many compute cores as the largest GPU, making it the largest processor ever built. Even the biggest neural networks can fit on the WSE-2 due to their size and computing power. Memory and computation are separated by the Cerebras Weight Streaming architecture, allowing memory (which is used to store parameters) to expand independently of computing. So a single CS-2 may handle models with trillions of parameters.

Meet SmartBond DA1470x Family of Bluetooth Low Energy ― the World’s Most Integrated SoC for Wireless Connectivity

Renesas Electronics Corporation, a leading global provider of microcontrollers, has combined its expertise in embedded processing, analog, power, and connectivity, to build the world’s most advanced integrated System-on-Chip family for wireless connectivity.

The SmartBond™ DA1470x Family of Bluetooth® low energy (LE) solutions is an advanced chip that enables small form factor IoT product designs. With its small form factor, integrated with 2D graphics processors, voice activity detector, power management, and Bluetooth LE connectivity, the new family of SoCs provides smart IoT devices with the most advanced sensor and graphical capabilities as well as seamless, ultra-low power always-on audio processing.

“The DA1470x family expands on our successful strategy of integrating more functions, including greater processing power, expanded memory and improved power modules, along with VAD for the always-on wake and command word detection,” said Sean McGrath, Vice President of the Connectivity and Audio Business Sector. “This feature-packed SoC product family enables developers to push the boundaries of connected consumer and industrial applications and future-proof their IoT products to fit the needs of multiple applications, while optimizing their bill of materials.”

With the chip, engineers can have: 

  • Significant cost savings on the Bill of materials thus allowing for cost-effective solutions
  • A reduction in component count on the PCB enables small form factor designs
  • More space for additional components or larger batteries
  • Improved reliability of the system, and eventually,
  • A reduction in the total cost of goods sold of the end product.

The DA1470x family of SoCs is suitable for a number of devices including: 

  • consumer medical devices
  • industrial automation and security systems
  • wearables like smartwatches and fitness trackers
  • home appliances with display
  • glucose monitor readers
  • Bluetooth consoles like e-bikes and gaming equipment

Features and Specifications of the DA1470x Wireless System-on-Chip Include:

  • Arm® Cortex®-M33 processor (main application core) and Cortex -M0+ (sensor node controller).
  • Integrated 2D GPU & Display controller supporting DPI, JDI parallel, DBI and Single, Dual or Quad SPI interfaces.
  • Integrated low quiescent current SIMO DC/DC converter of the PMU efficiently supplies internal system and external components
  • Ultra-low power hardware VAD enables seamless and always-on audio processing
  • Configurable MAC supporting Bluetooth Low Energy 5.2 and proprietary 2.4 GHz protocols.
  • Integrated 720mA JEITA-compliant USB charger supports rechargeable Li-ion/Li-Po batteries.

The four devices that constitute the DA1470x SoC family are already in mass production and readily available. More useful details about the devices, including links to some of the winning combinations the company made with the chipset, can be found on the product page.

TOP PCB Companies