mixtile News - CNX Software - Embedded Systems News

November 14, 2024November 14, 2024 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Giveaway Week 2024 winners announced!

We’re now ready to announce the winners of CNX Software’s Giveaway Week 2024. We offered some of the review samples we tested (and some we did not test) in the last year, and for the fourth year running, RAKwireless also gave away two IoT development kits shipped directly to winners. This year’s prizes also included a RISC-V motherboard, a 3D depth camera, a few Arm development boards, two touchscreen displays, and an Alder Lake-N mini PC/router. All those products can be seen in the photo, minus some accessories. You’ll find more than seven devices because we organized the third Giveaway Week on CNX Software Thailand simultaneously with four prizes. We had seven winners on CNX Software: Jupiter RISC-V mini-ITX motherboard – François-Denis, Canada Orbbec Femto mega 3D depth and 4K RGB camera – Reifu, Japan RAKwireless Blues.ONE LoRaWAN, LTE-M, and NB-IoT devkit – OldCrow, Portugal Mixtile Core 3588E development kit […]

November 7, 2024November 9, 2024 by Jean-Luc Aufranc (CNXSoft) - 238 Comments

Giveaway Week 2024 – Mixtile Core 3588E development kit with RK3588 SoM

Day 4 of Giveaway Week 2024 will be for a development kit comprised of the Mixtile Core 3588E SoM based on Rockchip RK3588 octa-core Cortex-A76/A55 SoC and a Leetop A206 carrier board compatible with NVIDIA Jetson SO-DIMM modules. This development kit is mostly useful to evaluate the Mixtile Core 3588E system-on-module, but it can be used just like any Rockchip RK3588 SBC with the company providing a Ubuntu 22.04 Desktop image for the board. Since it relies on the same edge connector as the NVIDIA Jetson TX2 NX module, the Core 3588E module can also be connected to other compatible carrier boards. I reviewed the Mixtile Core 3588E development kit last December running Ubuntu 22.04. At the time, I found the Mixtile Core 3588E system-on-module performs well with the pre-loaded Ubuntu 22.04 image with a similar performance as on other Rockchip RK3588 hardware platforms. 3D graphics acceleration was working with […]

August 14, 2024August 13, 2024 by Paisit Wongsongsarn - 7 Comments

Mixtile Edge 2 Kit review with Home Assistant, 2-in-1 Zigbee & Z-Wave mPCIe module

We received the Edge 2 Kit IoT gateway on the Rockchip RK3568-powered Edge2 single board computer (SBC) and a 2-in-1 Zigbee and Z-Wave mPCIe card from Mixtile which we will be reviewing from the perspective of smart home applications using Home Assistant open-source home automation framework. Let’s dive into the details. Unboxing Mixtile Edge 2 Kit CNX Software previously reported on the Mixtile Edge 2 Kit in 2022 and you can check the detailed specifications and block diagram in that earlier article. Since then, Mixtile has found a wider range of applications for the device and is also promoting it as an Edge AI Box that performs AI object detection using the Edge 2 Kit (or the more powerful Mixtile Blade 3) using the built-in NPU (Neural Processing Unit) with up to 1 TOPS of AI performance for tasks such as object detection. Let’s unbox it and take a closer […]

July 11, 2024July 11, 2024 by Sponsored Post - No Comments

Mixtile Edge AI boxes work with ONVIF cameras to deploy video analytics solutions (Sponsored)

Mixtile Edge AI solution supports ONVIF cameras and leverages object detection, object classification, real-time analysis, and intelligent monitoring to create IoT video analytics applications across the security, transportation, logistics, retail, industry, and agriculture sectors. The hardware is based on the time-tested Mixtile Edge 2 Kit IoT gateway powered by a Rockchip RK3568 SoC with a 1 TOPS NPU and 1080p60 VPU, or Mixtile Blade 3 SBC featuring the more powerful Rockchip RK3588 octa-core SoC with a 6 TOPS AI accelerator and an 8Kp60 VPU. The former can analyze up to 10 streams in real-time, and the latter up to a whopping 40 streams. So the novelty here is on the software side that has been developed by Mixtile and works the following way: The ONVIF cameras transmit video streams to a Mixtile Edge AI Box over the network. The Edge AI Box then runs pre-trained AI models to analyze the […]

June 12, 2024June 13, 2024 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

$20 Zigbee & Z-Wave mPCIe module targets Home Assistant gateways

Mixtile’s “2-in-1 Zigbee & Z-Wave mPCIe module” is a relatively inexpensive way to add Zigbee and Z-Wave connectivity to a Home Assistant server without having USB dongles sticking out of the server and taking some of its spare USB ports. The module is compatible with any computer, gateway, or SBC with a spare mini PCIe socket featuring a USB 2.0 interface such as Rockchip RK3568-powered Mixtile Edge 2 Kit gateway. You’ll also need some way of mounting the antennas after connecting them to the IPEX-1 antenna connectors on the module, the Edge 2 Kit comes with multiple antenna holes. Mixtile 2-in-1 Zigbee & Z-Wave mPCIe module specifications: Wireless MCUs Silabs EFR32MG24 Arm Cortex-M33 @ 78.0 MHz with 256 kB RAM, 1536 kB flash Radio Frequency – 2.4 GHz (802.15.4 radio) TX Power – up to +19.5 dBm RX sensitivity – -105.4 dBm at 250 kbps Protocols – Zigbee, Matter, Thread […]

May 5, 2024May 22, 2024 by Sponsored Post - 2 Comments

Save up to $75 on Rockchip RK3588-powered Mixtile Blade 3 SBC and Core 3588E module (Sponsored)

Mixile has launched a promotion that could save you up to $75 on the company’s Rockchip RK3588-powered devices, namely the Mixtile Blade 3 SBC that can be used standalone or integrated into a cluster and Core 3588E SO-DIMM system-on-module that follows the NVIDIA Jetson Nano, TX2 NX, Xavier NX, and Orin Nano form factor and will work with most carrier boards designed for those. The first part of the “Lucky Offer” promotion is a $50 discount coupon code (cnx50off) applicable to the Mixtile Blade 3, Mixtile Blade 3 Case, and Mixtile Cluster Box. The Mixtile Blade 3 is a pico-ITX SBC powered by a Rockchip RK3588 octa-core Cortex-A76/A55 processor, with up to 32GB RAM, up to 256GB eMMC flash, three display interfaces, an HDMI input port, dual GbE, a 30-pin GPIO header, and a U.2 connector carrying 4-lane PCIe Gen3 and SATA 3.0 signals and specifically designed for cluster applications. […]

February 27, 2024February 27, 2024 by Jean-Luc Aufranc (CNXSoft) - 12 Comments

Testing AI and LLM on Rockchip RK3588 using Mixtile Blade 3 SBC with 32GB RAM

We were interested in testing artificial intelligence (AI) and specifically large language models (LLM) on Rockchip RK3588 to see how the GPU and NPU could be leveraged to accelerate those and what kind of performance to expect. We had read that LLMs may be computing and memory-intensive, so we looked for a Rockchip RK3588 SBC with 32GB of RAM, and Mixtile – a company that develops hardware solutions for various applications including IoT, AI, and industrial gateways – kindly offered us a sample of their Mixtile Blade 3 pico-ITX SBC with 32 GB of RAM for this purpose. While the review focuses on using the RKNPU2 SDK with computer vision samples running on the 6 TOPS NPU, and a GPU-accelerated LLM test (since the NPU implementation is not ready yet), we also went through an unboxing to check out the hardware and a quick guide showing how to get started […]

December 30, 2023January 9, 2024 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

Mixtile Core 3588E SoM review – Part 2: Ubuntu 22.04, hardware features, RK3588 AI samples, NVIDIA Jetson compatibility

We’ve already had a look at the Mixtile Core 3588E NVIDIA Jetson Nano/TX2 NX/Xavier NX/Orin Nano compatible Rockchip RK3588 SO-DIMM system-on-module in the first part of the review with an unboxing and first boot with an Ubuntu 22.04 OEM installation. I’ve now had more time to play with the devkit comprised of a Core 3588 module in 16GB/128GB configuration and a Leetop A206 carrier board with low-level features testing, some benchmarks, multimedia testing with 3D graphics acceleration and video playback, some AI tests using the built-in 6 TOPS NPU and the RKNPU2 toolkit, and finally I also tried out the system-on-module with the carrier board from an NVIDIA Jetson Nano developer kit. Ubuntu 22.04 System info We had already checked some of the system information in the first part of the Mixtile Core 3588E review, but here’s a reminder:

jaufranc@Mixtile-RK3588E:~$ uname -a
Linux Mixtile-RK3588E 5.10.160-rockchip #18 SMP Wed Dec 6 15:11:42 UTC 2023 aarch64 aarch64 aarch64 GNU/Linux
jaufranc@Mixtile-RK3588E:~$ cat /etc/lsb-release 
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=22.04
DISTRIB_CODENAME=jammy
DISTRIB_DESCRIPTION="Ubuntu 22.04.3 LTS"
jaufranc@Mixtile-RK3588E:~$ df -h
Filesystem      Size  Used Avail Use% Mounted on
tmpfs           1.6G  2.7M  1.6G   1% /run
/dev/mmcblk0p2  113G  7.5G  101G   7% /
tmpfs           7.7G     0  7.7G   0% /dev/shm
tmpfs           5.0M  8.0K  5.0M   1% /run/lock
tmpfs           4.0M     0  4.0M   0% /sys/fs/cgroup
/dev/mmcblk0p1  512M  101M  411M  20% /boot/firmware
tmpfs           1.6G   60K  1.6G   1% /run/user/0
tmpfs           1.6G   76K  1.6G   1% /run/user/130
tmpfs           1.6G   68K  1.6G   1% /run/user/1000
jaufranc@Mixtile-RK3588E:~$ free -mh
               total        used        free      shared  buff/cache   available
Mem:            15Gi       601Mi        13Gi        47Mi       1.4Gi        14Gi
Swap:          2.0Gi          0B       2.0Gi

jaufranc@Mixtile-RK3588E:~$ uname -a

Linux Mixtile-RK3588E 5.10.160-rockchip #18 SMP Wed Dec 6 15:11:42 UTC 2023 aarch64 aarch64 aarch64 GNU/Linux

jaufranc@Mixtile-RK3588E:~$ cat /etc/lsb-release

DISTRIB_ID=Ubuntu

DISTRIB_RELEASE=22.04

DISTRIB_CODENAME=jammy

DISTRIB_DESCRIPTION="Ubuntu 22.04.3 LTS"

jaufranc@Mixtile-RK3588E:~$ df -h

Filesystem Size Used Avail Use% Mounted on

tmpfs 1.6G 2.7M 1.6G 1% /run

/dev/mmcblk0p2 113G 7.5G 101G 7% /

tmpfs 7.7G 0 7.7G 0% /dev/shm

tmpfs 5.0M 8.0K 5.0M 1% /run/lock

tmpfs 4.0M 0 4.0M 0% /sys/fs/cgroup

/dev/mmcblk0p1 512M 101M 411M 20% /boot/firmware

tmpfs 1.6G 60K 1.6G 1% /run/user/0

tmpfs 1.6G 76K 1.6G 1% /run/user/130

tmpfs 1.6G 68K 1.6G 1% /run/user/1000

jaufranc@Mixtile-RK3588E:~$ free -mh

total used free shared buff/cache available

Mem: 15Gi 601Mi 13Gi 47Mi 1.4Gi 14Gi

Swap: 2.0Gi 0B 2.0Gi

I also ran inxi to check a few more details. […]