arm

Posted on by Tomisin Olujinmi - 3 Comments on New NXP i.MX 93-based system-on-modules launched by MYiR, Variscite, and Compulab

New NXP i.MX 93-based system-on-modules launched by MYiR, Variscite, and Compulab

MYIR MYD-LMX9X development board

We have covered announcements about early NXP i.MX 93-based system-on-modules such as the ADLINK OSM-IMX93 and Ka-Ro Electronics’ QS93, as well as products integrating the higher-end NXP i.MX 95 processor such as the Toradex Titan Evaluation kit. Three additional NXP i.MX 93 SoMs from Variscite, Dart, and Compulab are now available. Targeted at industrial, IoT, and automotive applications, the NXP i.MX 93 features a 64-bit dual-core Arm Cortex-A55 application processor running at up to 1.7GHz and a Cortex-M33 co-processor running at up to 250MHz. It integrates an Arm Ethos-U65 microNPU, providing up to 0.5TOPS of computing power, and supports EdgeLock secure enclave, NXP’s hardware-based security subsystem. The heterogeneous multicore processing architecture allows the device to run Linux on the main core and a real-time operating system on the Cortex-M33 core. The processor is designed for cost-effective and energy-efficient machine learning applications. It supports LVDS, MIPI-DS, and parallel RGB display protocols […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 2 Comments on Linux 6.9 release – Main changes, Arm, RISC-V, and MIPS architectures

Linux 6.9 release – Main changes, Arm, RISC-V, and MIPS architectures

Linux 6.9 release

Linus Torvalds has just announced the release of Linux 6.9 on LKML: So Thorsten is still reporting a few regression fixes that haven’t made it to me yet, but none of them look big or worrisome enough to delay the release for another week. We’ll have to backport them when they get resolved and hit upstream. So 6.9 is now out, and last week has looked quite stable (and the whole release has felt pretty normal). Below is the shortlog for the last week, with the changes mostly being dominated by some driver updates (gpu and networking being the big ones, but “big” is still pretty small, and there’s various other driver noise in there too). Outside of drivers, it’s some filesystem fixes (bcachefs still stands out, but ksmbd shows up too), some late selftest fixes, and some core networking fixes. And I now have a more powerful arm64 machine […]

Posted on by Dennis Mwihia - No Comments on QEMU 9.0 released with Raspberry Pi 4 support and LoongArch KVM acceleration

QEMU 9.0 released with Raspberry Pi 4 support and LoongArch KVM acceleration

QEMU 9.0

QEMU 9.0 open-source emulator just came out the other day, and it brings on board major updates and improvements to Arm, RISC-V, HPPA, LoongArch, and s390x emulation. But the most notable updates are in Arm and LoongArch emulation. The QEMU 9.0 emulator now supports the Raspberry Pi 4 Model B, meaning you can run the 64-bit Raspberry Pi OS for testing applications without owning the hardware. However, QEMU 9.0 has some limitations since Ethernet and PCIe are not supported for the Raspberry Pi board. According to the developers, these features will come on board in a future release. For now, the emulator supports SPI and I2C (BSC) controllers. Still on ARM, QEMU 9.0 provides board support for the mp3-an536 (MPS3 dev board + AN536 firmware) and B-L475E-IOT01A IoT node, plus architectural feature support for Nested Virtualization, Enhanced Counter Virtualization, and Enhanced Nested Virtualization. If you develop applications for the LoongArch […]

Posted on by Tomisin Olujinmi - No Comments on Alfa Networks AHST7394S Wi-Fi HaLow module enables low-power, long-range IoT connectivity up to 1km

Alfa Networks AHST7394S Wi-Fi HaLow module enables low-power, long-range IoT connectivity up to 1km

Alfa Networks AHST7394S HaLow

Taiwanese wireless equipment manufacturer, Alfa Networks, and US-based Wi-Fi HaLow semiconductor company, Newracom, have collaborated to develop the AHST7394S Wi-Fi HaLow module. The solder-down module is based on Newracom’s NRC7394 SoC, a low-cost and high-efficiency HaLow SoC chipset providing up to 17dbm output power and capable of connecting to a maximum of 8K devices within a single network. The NRC7394 also supports a standalone mode, which enables the execution of a wide range of IoT applications on the embedded ARM Cortex-M3 CPU. While HaLow is more energy-efficient than other Wi-Fi types, low-power operation modes such as legacy, TWT, and WMM-PS can reduce power consumption further. The AHST7394S Wi-Fi HaLow module supports a data rate of up to 15Mbps, over 600 times faster than LoRaWAN while maintaining a good range (over 1km). The second-generation HaLow module is perfect for building long-range, ultra-low-power networks in sub-1 GHz, license-exempt frequency bands. It is a […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Yocto Project 5.0 “Scarthgap” released with Linux 6.6 and plenty of changes

Yocto Project 5.0 “Scarthgap” released with Linux 6.6 and plenty of changes

Yocto Project 5.0

The Yocto Project 5.0 codenamed “Scarthgap” has just been released with Linux 6.6, glibc 2.39, LLVM 18.1, and over 300 other recipe upgrades. As a result of the release, the developers have made it available for download (bz2 tarball). The Yocto Project, or Yocto for shorts, is a popular framework used to create custom embedded Linux distributions, and we’ve played with it over the year showing how to create a minimal image for the Raspberry Pi, and last year, we used it again when reviewing two industrial development boards, namely the VOIPAC IMX8M and ADLINK i-Pi SMARC 1200. Yocto is quite a powerful framework/build system with plenty of options that make it highly customizable, but the learning curve is fairly steep. Some other changes in Yocto Project 5.0 include: New variables: CVE_DB_INCR_UPDATE_AGE_THRES: Configure the maximum age of the internal CVE database for incremental update (instead of a full redownload). RPMBUILD_EXTRA_PARAMS: […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on QNAP TS-216G 2-bay NAS features a quad-core Arm processor with NPU for image sorting and searching

QNAP TS-216G 2-bay NAS features a quad-core Arm processor with NPU for image sorting and searching

QNAP TS-216G

QNAP TS-216G 2-bay NAS features a quad-core Arm Cortex-A55 processor with an NPU for AI-powered photo management, 4GB RAM, 2.5GbE and GbE networking ports, two hot-swappable 3.5-inch SATA bay, and a few USB ports. It looks to be an update to the Rockchip RK3566-powered QNAP TS-133/TS-223 with more memory (4GB vs 2GB) and more advanced networking capability (2.5GbE+GbE vs GbE only), while still keeping the object and face recognition capabilities. QNAP TS-216G specifications: SoC – Unnamed but likely Rockchip RK3566 CPU – Quad-core Cortex-A55 clocked at up to 2.0 GHz GPU – Mali-G52 Neural Processing Unit (NPU) Hardware-accelerated Transcoding Encryption Engine System Memory – 4 GB RAM Storage 4 GB eMMC flash (dual boot OS protection) 2x 3.5-inch SATA III bay also supporting 2.5-inch SATA SSDs; hot-swappable Networking 2.5GbE RJ45 jack Gigabit Ethernet jack Wake-on-LAN (WoL) and Jumbo Frame support Number of Concurrent Connections (CIFS) – Up to 200 USB […]

Posted on by Dennis Mwihia - No Comments on Ambarella CV75S AI SoC brings Vision Language Models (VLM) and Vision Transformer Networks to cameras

Ambarella CV75S AI SoC brings Vision Language Models (VLM) and Vision Transformer Networks to cameras

ambarella cv75s

Ambarella has been expanding its AI SoC portfolio, and the latest addition is the CV75S family of 5nm chips. The company claims this family introduces the most cost- and power-efficient SoC option for running the latest AI-based image processing like vision language models (VLMs) and vision transformer networks in security, robotics, conferencing, and sports cameras. The CV75S family is the first in Ambarella’s lineup to integrate the latest CVflow 3.0 AI engine, which results in 3 times the performance compared to the former generation. CVflow 3.0 is a chip architecture designed based on a deep understanding of the core computer vision algorithms. It features a dedicated vision-processing engine that Ambarella has programmed using a high-level algorithm description and works with Tensorflow, Caffe, and PyTorch. This engine enables the SoC to perform trillions of operations each second at a fraction of the power consumption of leading GPUs and general-purpose CPU solutions. These chips also […]

Posted on by Tomisin Olujinmi - 1 Comment on GigaDevice announces GD32F5 Cortex-M33 microcontroller targeted at high-performance applications

GigaDevice announces GD32F5 Cortex-M33 microcontroller targeted at high-performance applications

GigaDevice GD32F5 Cortex-M33 microcontroller

GigaDevice has officially launched the GD32F5 microcontroller series based on the Arm Cortex-M33 core. The Arm Cortex-M33 core has a maximum operating frequency of 200MHz and a working performance of up to 3.31 CoreMark/MHz. It also comes with a digital signal processing extension and a single-precision floating-point unit to reduce the load on the core. The GD32F5 microcontrollers are designed for high-performance applications and come equipped with up to 7.5MB on-chip flash, 1MB static RAM (SRAM), and diverse connectivity peripherals. The on-chip flash includes a zero-wait execution area (code flash) to improve code processing efficiency and real-time performance, and sizable data flash space for storing backups and parameters. The products support seamless OTA updates with a maximum of 2MB for Read-While-Write (RWW) operations. According to GigaDevice, the GD32F5 series is expected to find applications in “energy and power management, photovoltaic energy storage, industrial automation, programmable logic controllers (PLC), network communication […]

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