NXP i.MX Category - Page 23 of 68 - CNX Software

February 5, 2020February 5, 2020 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Toradex AI Embedded Vision Starter Kit Leverages Amazon Web Services for AI and ML Applications

Toradex AI Embedded Vision AWS Starter Kit

Toradex, Amazon Web Services (AWS), and NXP Semiconductors collaborated to create the AI Embedded Vision Starter Kit aiming to ease the development of cloud-connected computer vision and machine learning applications in industries such as industrial automation, agriculture, medical equipment, and many more. The AI Embedded Vision Starter Kit includes the following items: Toradex Apalis iMX8 System on Module (SoM) powered by NXP i.MX 8QuadMax applications processor Toradex Ixora Carrier Board Allied Vision Alvium 1500 industrial-grade MIPI CSI-2 camera All required cables and a 12VDC (30W) power supply Full software stack, including source code for running the device as well as for cloud deployment Extensive documentation 50 USD AWS credit The kit will help developers meet the must-have requirements of smart connected devices including secure connectivity, remote monitoring, OTA updates, maximum uptime & reliability, compact form factor, cost-optimized hardware, computer vision and machine learning algorithms optimized for low-power hardware, and more. […]

February 4, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

Kontron Launches the Smallest i.MX 8M Mini Module with 30x30mm Form Factor

Introduced in 2018, NXP i.MX 8M Mini is the first i.MX processor from the company manufactured with a 14nm process, and the low-power processor is found in several compact modules such as Variscite VAR-SOM-MX8M-MINI (38×28 mm), SolidRun i.MX 8M Mini SoM (47×30 mm), or Compulab UCM-iMX8M-Mini (38×28 mm). The smallest i.MX 8M Mini module we’ve covered so far is TechNexion XORE-IMX8M-Mini LGA system-on-module that takes just 30×30 mm of space. The TechNexion module is now joined by Kontron SoM SL i.MX8M Mini module with the same 30x30mm form factor, but a few more pins (267 vs 225). Kontron SoM SL i.MX8M Mini specifications: SoC – NXP i.MX 8M Mini quad-core Arm Cortex-A53 processor @ 1.6 GHz with one Arm Cortex-M4 real-time core @ 400 MHz, as well as 2D GPU and 3D GPU System Memory – 1GB LPDDR4 RAM (option up to 4GB) Storage – 8GB eMMC flash (option up […]

January 28, 2020February 29, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

ASUS Tinker Edge T SBC Launched for $168 and Up

ASUS unveiled Tinker Edge T & CR1S-CM-A SBCs based on Google Coral Edge TPU system-on-module featuring both NXP i.MX 8M processor and Google Edge TPU co-processor for AI acceleration in May 2019, but at the time none of the boards were available. But earlier this month, ASUS officially announced the board, and it can now be purchased on various sites including Provantage (~$168.35) and Physical Computing (21,600 JPY ~ $200). It is also listed on Connection for about $198 but currently out of stock. 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 – 1 GB LPDDR4 RAM Storage – 8 GB eMMC Flash memory Wireless Connectivity – Wi-Fi 2×2 MIMO (802.11b/g/n/ac 2.4/5GHz) Bluetooth 4.2 Baseboard Storage – MicroSD card slot Networking – Gigabit […]

January 27, 2020January 27, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Linux 5.5 Release – Main Changes, Arm, MIPS and RISC-V Architectures

Linux 5.5 has just been released by Linus Torvalds: So this last week was pretty quiet, and while we had a late network update with some (mainly iwl wireless) network driver and netfilter module loading fixes, David didn’t think that warranted another -rc. And outside of that, it’s really been very quiet indeed – there’s a panfrost driver update too, but again it didn’t really seem to make sense to delay the final release by another week. Outside of those, it’s all really tiny, even if some of those tiny changes touched some core files. So despite the slight worry that the holidays might have affected the schedule, 5.5 ended up with the regular rc cadence and is out now. That means that the merge window for 5.6 will open tomorrow, and I already have a couple of pull requests pending. The timing for this next merge window isn’t optimal […]

January 19, 2020February 16, 2020 by Jean-Luc Aufranc (CNXSoft) - 13 Comments

MNT Reform 2 Open Source DIY Arm Linux Modular Laptop Coming Soon (Crowdfunding)

We first covered MNT Reform in fall of 2017, when it was a prototype for a DIY and modular laptop powered by NXP i.MX 6QuadPlus processor, and with plans to eventually use i.MX 8 hexa-core processor. Last year they designed several beta units of Reform to get feedback for a dozen users, and have now fully redesigned the laptop based on an NXP i.MX 8M system-on-module with the crowdfunding campaign expected to go live in February on Crowd Supply. MNT Reform 2 specifications: SoM – Boundary Devices Nitrogen8M SOM with SoC – NXP i.MX 8MQuad quad-core Cortex-A53 processor @ 1.5 GHz, 1x Arm Cortex-M4F real-time core Vivante GC7000Lite 3D GPU System Memory – 4GB LPDDR4 Storage – Probably none Networking – Atheros Ethernet MAC chip (AR8035) 200 pin SO-DIMM edge connector exposing USB 3.0, PCIe, MIPI DSI, etc… Dimensions – 67.6mm x 48.4mm Motherboard Storage – SD card slot, M.2 […]

January 14, 2020 by Jean-Luc Aufranc (CNXSoft) - No Comments

iWave Systems Launches NXP i.MX 8QuadMax / i.MX 8QuadPlus SBC

NXP i.MX 8 series family offers plenty of options from the i.MX 8X Cortex-A35 processor to i.MX 8QuadMax octa-core processor with two Arm Cortex-A72, four Arm Cortex-A53, and two Arm Cortex-M4F cores. We already covered plenty of i.MX 8 hardware on CNX Software, including a fair amount of i.MX 8QuadMax systems-on-module such as Toradex Apalis iMX8, iWave Systems iW-RainboW-G27M SMARC 2.0 SoM, Advantech ROM-7720 Qseven 2.1 computer-on-module, and others. But for some unknown reasons, there haven’t been that many i.MX 8QuadMax single board computer, and AFAICR we only wrote about Seco SBC-C43 board so far. But there’s now another option thanks to iWave Systems iW-Rainbow-G27S Pico-ITX SBC equipped with a choice of i.MX 8QuadMax or i.MX 8QuadPlus processor and up to 8GB RAM. iW-Rainbow-G27S specifications: SoC (one or the other)— NXP i.MX8 with VPU and HiFi4 DSP: NXP i.MX 8QuadMax with 2x Cortex-A72 cores, 4x Cortex-A53 cores, 2x Cortex-M4F real-time […]

January 13, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Variscite Introduces i.MX 8M Mini and Nano SoM’s, Symphony Carrier Board

NXP i.MX 8M Mini and i.MX 8M Nano are lower cost and lower power variants of NXP i.M 8M processors manufactured using a 14nm FinFET process, and cutting some features such as HDMI and embedded DisplayPort, or hardware video decoder. NXP i.MX 8M Mini has been announced for over two years, so we’ve already written about many boards and systems-on-module (SoM) including Boardcon EM-IMX8M-MINI SBC, TechNexion XORE LGA SoM, or Congatec conga-SMX8-Mini SMARC 2.0 module among others. NXP i.MX 8M Nano is more recent, and we only covered a few announcements so far namely iWave Systems iW-RainboW-G34M-SM SoM and Conga-SMX8-Nano SMARC 2.0 computer-on-module. There’s now at least a third company working on a “Nano” module with Variscite announcing VAR-SOM-MX8M-NANO SoM together with a “Mini” version called VAR-SOM-MX8M-MINI, and Symphony carrier board and development kits. VAR-SOM-MX8M-MINI & VAR-SOM-MX8M-NANO Modules Both modules are part of Variscite VAR-SOM Pin2Pin family, and share the […]

January 13, 2020January 13, 2020 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

SolidRun Janux GS31 Edge AI Server Combines NXP LX2160A & i.MX 8M SoCs with 128 Gyrfalcon AI Accelerators

SolidRun Janux GS31-Edge AI Inference Server

AI inference used to happen exclusively in powerful servers hosted in the cloud, but in recent years great efforts have been made to move inference at the edge, usually meaning on-device, due to much lower latency, and improved privacy. On-device inference works, but obviously, performance is limited, and on battery-operated devices, one also has to consider power consumption. So for some applications, it makes sense to have a local server with much more processing power than devices, and lower latency than the cloud. That’s exactly the use case SolidRun Janux GS31 Edge AI inference server is trying to target using several NXP processors combined with up to 128 Gyrfalcon Lightspeeur SPR2803 AI accelerators Janux GS31 server specifications: CPU Module – CEx7 LX2160A COM Express module with NXP LX2160A 16-core Arm Cortex A72 processor @ 2.0 GHz System Memory – Up to 64GB DDR4 RAM via 2x SO-DIMM sockets “Video” Processors […]