GRiSP 2 Board Targets Embedded Erlang & Elixir Development (Crowdfunding)

Erlang is described as a programming language used to build massively scalable soft real-time systems with requirements on high availability, and used in telecoms, banking, e-commerce, computer telephony and instant messaging. Elixir is a dynamic, functional language designed for building scalable and maintainable applications that leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems. Elixir is used in many types of applications from higher-level web development to the embedded software domain, and Peer Stritzinger designed GRiSP board especially for the latter in 2017. He’s now back with GRiSP 2 featuring an NXP i.MX 6ULL SoM running Linux and RTEMS (Real-Time Executive for Multiprocessor Systems) RTOS. GRiSP 2 board is comprised of a system-on-module and baseboard with the following specifications: System on Module SoC – NXP iMX6UL Arm Cortex-A7 @ 696 MHz, 128 KB L2 cache, with TRNG, Crypto Engine (AES/TDES/SHA), Secure Boot Memory – 128 MB DDR3 […]

Nitrogen8M_Mini Single Board Computer Launched for $135 and Up

Nitrogen8M_Mini NXP i.MX 8M Mini Board

Last month we write about Nitrogen8M_Mini, the First NXP i.MX8 8M Mini SBC, but at the time, it was not available for purchase just yet. Boundary Devices has now announced the official release of the board and is taking orders / pre-orders for $135 and up. Nitrogen8M_Mini SBC Two versions are being offered either with the board only, or as part of a devkit with a 5V power supply, an 8GB microSD card with Linux OS, a battery, and serial console cable: Nit8MQ_Mini_2r8eWB with WiFi and Bluetooth, currently in stock, and sold for $155 (board only), or $175 (devkit) Nit8MQ_Mini_2r8e without wireless module, to ship in a few weeks, and sold for $135 (board only), or $155 (devkit) Nitrogen8M_Mini specifications: SoC – NXP i.MX 8M Mini with 4x Cortex A53 cores @ 1.5 to 2.0 GHz max, 1x Cortex-M4F real-time core, Vivante GCNanoUltra 3D GPU, Vivante GC320 2D GPU System […]

NXP i.MX 8X/8M based AI-ML and Thor96 Boards Target AI and IoT Applications,

AI-ML 96boards

We’ve already covered several 96boards platforms announced at Embedded World 2019, but we’re not quite done yet, as Arrow Electronics also introduced two NXP i.MX 8X/8M powered 96Boards CE Extended development boards with AI-ML board equipped with i.MX 8M quad core Arm Cortex-A35 processor coupled with 2GB RAM, an mPCIe slot for cellular connectivity, and Thor96 SBC featuring NXP i.MX 8M processor with 2GB RAM as well, but also two HDMI ports, a Thread and Zigbee module, and more. Arrow AI-ML Board AI-ML key features and specifications: SoC – NXP i.MX 8X quad core Arm A35 processor @ 1.2 GHz, Cortex-M4F real-time core @ 266 MHz, Tensilica HiFi 4 DSP Core, GC7000 Lite 3D GPU with 4x Vec4 Shaders with 16 Execution Units System Memory – 2 GB LPDDR4 @ 1,600 MHz Industrial Temp by Micron Storage – Micro SD card slot Video Output / Display Interface HDMI Output Dual […]

$30 Arch Mix Development Board Features NXP i.MX RT1052 Crossover Processor

Arch Mix

NXP i.MX RT Arm Cortex-M7 crossover processors are supposed to fill the gap between microcontrollers and more powerful application processors thanks to real-time capabilities, and a higher CPU frequency. We’ve already covered several i.MX RT1050 series platforms including NXP’s own evaluation board and Forlinx OK1052-C development kit comprised of a carrier board and an i.MX RT1052 system-on-module. But if you’d like to experiment with NXP i.MX RT processor using a cheaper, smaller, and easier to purchase development platform, Seeed Studio has started to sell Arch Mix development board for $29.90 plus shipping. Arch Mix board specifications: SoC – NXP i.MX RT1052 Arm Cortex-M7 processor @ up to 528MHz System Memory – 32MB SDRAM Storage – Optional 64MB Hyperflash, 8MB QSPI flash, microSD card socket Display I/F – RGB LCD interface USB – 1x micro USB 2.0 host port, 1x USB OTG port for data and power Expansion Headers – 2x […]

Google to Launch Edge TPU Powered Coral Development Board and USB Accelerator

Coral Dev Board

Several low power neural network accelerators have been launched over the recent years in order to accelerator A.I. workloads such as object recognition, and speech processing. Recent announcements include USB devices such as Intel Neural Compute Stick 2 or Orange Pi AI Stick2801. I completely forgot about it, but Google also announced their own Edge TPU ML accelerator, development kit, and USB accelerator last summer. The good news is that Edge TPU powered Coral USB accelerator and Coral dev board and are going to launch in the next few days for respectively $74.99 and $149.99. Coral Development Board Coral dev board is comprised of a base board and SoM wit the following specifications: Edge TPU Module SoC – NXP i.MX 8M quad core Arm Cortex-A53 processor with Arm Cortex-M4F real-time core,  GC7000 Lite 3D GPU ML accelerator – Google Edge TPU coprocessor delivering up to 4 TOPS System Memory – […]

TechNexion AXON and FLEX SoM Families Feature i.MX 8M Mini SoC, FPGA Fabric

AXON-IMX8M-MINI

Taiwan based Technexion has introduced several new products at Embedded World 2019 including two new SoM families: AXON and FLEX. AXON is a product family of small form factor (58 x 37 mm) modules designed for specialized embedded applications requiring extra I/O flexibility, while FLEX series is a low-cost family making use of the standard LPDDR4 SO-DIMM connector. Specifically, the company launched new AXON and FLEX modules powered by NXP i.MX 8M Mini processor with AXON-IMX8M-MINI featuring AXON Fabric programmable logic, a specialized IC that provides additional functions including nearly infinite pinmuxing, and FLEX-IMX8M-MINI that offers HD multimedia streaming and integrated 3D graphics for cost sensitive applications. AXON-IMX8M-MINI SoM AXON-IMX8M-MINI SoM specifications: SoC – NXP i.MX 8M Mini Solo, Dual or Quad Arm Cortex-A53+M4 processor FPGA – “Axon Fabric” making use of a Lattice MachXO3LF FPGA with 2100 LUTs (LookUp Tables) System Memory – Up to 4GB LPDDR4 RAM Storage […]

NXP i.MX 8M Nano is a Power-optimized Arm Cortex-A53/M7 Processor

NXP i.MX 8M Nano

NXP introduced their first 14nm i.MX processor at Embedded World 2018 last year with i.MX 8 Mini processor equipped with up to four Cortex A53 cores clocked at 2.0 GHz and one real-time Cortex-M4 cores clocked at 400+ MHz, and optional 1080p video output and decoding/encoding. The company has now added another 14nm member to their i.MX 8M family with NXP i.MX 8M Nano family also featuring four Cortex-A53 cores at up to 1.5 GHz, but replacing the Cortex-M4 by a more powerful Cortex-M7 core clocked at up to 600 MHz. The processor is also power-optimized for less than 2W total dynamic power (TDP) and sub-watt in many IoT edge applications. NXP i.MX 8M Nano key features and specifications: Application cores – One to four Arm Cortex-A53 cores up to 1.5 GHz per core; 32KB L1-I Cache/ 32 KB L1-D Cache; 512 KB L2 Cache Real-time core – Arm Cortex-M7 […]

CompuLab UCM-iMX8M-Mini is a Stamp Size i.MX 8M Mini SoM

Compulab i.MX 8M Mini SoM

We’ve recently written about several new hardware platforms based on the latest NXP i.MX 8M Mini processor family including Nitrogen8M_Mini SBC and F&S Elektronik PicoCore MX8MM SoM. Thanks to a new 14-nm process, the new family has the advantage of consuming less power, and the Cortex-A53 cores can run at a higher frequency. They should cost less as well thanks to cost-saving measures like the adoption of a 1080p video decoder instead of a 4K decoder found in the older NXP i.MX 8M family. CompuLab has now launched their own NXP i.MX 8M Mini SoM with UCM-iMX8M-Mini module that’s about the size of a largish stamp (38 x 28 mm) suitable for portable and space constrained applications such as professional handheld devices, wearable healthcare monitors and medical devices, autonomous drones with visual object recognition, or portable instrumentation equipment with advanced HMI. CompuLab UCM-iMX8M-Mini SoM specifications: SoC (one or the other) […]

Exit mobile version
EmbeddedTS embedded systems design