Rockchip RK3399Pro processor is based on the popular Rockchip RK3399Pro hexa-core Arm Cortex-A72/A53 processor plus an embedded neural processing unit (NPU) delivering up to 3 TOPS for AI acceleration. So far you had to spend over $200 to get either Toybrick RK3399Pro board or 96Boards RK3399Pro development kit to get started with the processor. Some other companies announced their own RK3399Pro SBC such as Pine64 RockPro64-AI, or Khadas Edge board, but those are not available yet. But there’s now a more affordable Rockchip RK3399Pro SBC courtesy of Radxa’s Rock Pi N10 available on Seeed Studio in three variants: $99 model A with 4GB RAM (3GB for CPU/GPU + 1GB for NPU), 16GB eMMC flash $129 model B with 6GB RAM (4GB for CPU/GPU + 2GB for NPU), 32GB eMMC flash $169 model C with 8GB RAM (4GB for CPU/GPU + 4GB for NPU), 64GB eMMC flash Rock Pi N10 specifications: […]
AWS EC2 6th Gen Instances are 7x Faster thanks to Graviton 2 Arm Neoverse N1 Custom Processor
Last year Amazon introduced their first 64-bit Arm-based ECS2 “A1” instances which were found to deliver up to 45% cost savings over x86 Instances for the right workloads. A few months ago, AWS (Amazon Web Services) provides a new offering with bare-metal A1 instances, and with re:invent 2019 now taking place the company has unveiled AWS ECS2 6th generation Arm instances (which they did not call A2 instances yet) powered by Graviton 2 processor comprised of custom Arm Neoverse N1 cores and promising up to 7x the performance of the original A1 instances. There will be three types of Graviton2-powered EC2 instances with the d suffix indicating NVMe local storage: M6g and M6gd for General Purpose workloads (application servers, mid-size data stores, microservices, and cluster computing) with 1 to 64 vCPUs and up to 256 GB of memory. C6g and C6gd for Compute-Optimized workloads (high-performance computing, video encoding, gaming, and […]
Orange Pi 4/4B Board with RK3399, 4GB RAM Launched for $50 and Up
Orange Pi 4 is yet another Rockchip RK3399 SBC with 4GB RAM, while Orange Pi 4B adds Gyrfalcon Lightspeeur 2801A AI Accelerator. Both models were announced about 10 days but were not for sale just yet. The company has now launched the board on both Aliexpress and their newly opened Amazon store with three options: Orange Pi 4 with no eMMC flash – $49.90 Orange Pi 4 with 16GB eMMC flash – $59.90 Orange Pi 4B with 16GB eMMC flash, Gyrfalcon NPU – $69.90 Quick reminder of Orange Pi 4/4B specifications: SoC – Rockchip K3399 hexa-core big.LITTLE processor with two Arm Cortex A72 cores, four Cortex A53 cores, and an ARM Mali-T860 MP4 GPU with support for OpenGL ES 1.1 to 3.1 support, OpenVG1.1, OpenCL and DX 11 System Memory – 4 GB LPDDR4 Storage – Optional 16 GB eMMC flash, micro SD card NPU (Orange Pi 4B only) – Gyrfalcon […]
NanoPi NEO2 Black Arm Linux SBC for Headless Applications Launched for $20 and Up
NanoPi NEO2 Black is an Allwinner H5 SBC designed for headless applications that improves on the existing NanoPi NEO2 board by adding an eMMC flash module support, and higher memory capacity (up to 1GB RAM). The board was announced last month, but it’s now available for purchase for $19.99 plus shipping on FriendlyElec website. Here’s a reminder of the specifications: SoC – Allwinner H5 quad-core Cortex A53 processor with an ARM Mali-450MP GPU System Memory – 1GB DDR3 Storage – MicroSD card slot, eMMC flash module connector Connectivity – Gigabit Ethernet (via RTL8211E-VB-CG chip) USB – 1x USB 2.0 host port, 1x micro USB OTG port, 1x USB via headers Expansion headers 10-pin header with I2C, UART, GPIOs, and power signals (5V in/out + GND) 6-pin header with 1x USB, Line Out (stereo), 1x GPIO Debugging – 2-pin unpopulated header for serial console / debugging Misc – Power and system […]
AAEON BOXER-8220AI Embedded Box PC Features NVIDIA Jetson Nano, 5 Gigabit Ethernet Ports
AAEON has launched several AI Boxer-8000 series embedded box PCs based on Intel processors plus AI accelerator, or NVIDIA Jetson TX2. The company has now introduced a new model – BOXER-8220AI – based on NVIDIA Jetson Nano module, and equipped with five Gigabit Ethernet ports. AAEON BOXER-8220AI specifications: SoM (CPU/Memory/Storage) – NVIDIA Jetson Nano with quad-core Arm Cortex-A57 MPCore processor @ 1.43 GHz, 128-core Maxwell GPU. 4GB LPDDR4, 16GB eMMC flash or MicroSD card Video Output – HDMI 2.0 Connectivity – 5x Gigabit Ethernet ports USB – 4x USB 3.0 ports, 1x Micro USB to flash the OS Serial – 2x RS-232 Misc – Power button, recovery button, power LED Power Supply – 10-24V DC via 2-pin terminal block Dimensions – 154 x 101 x 30 mm Weight – 1 kg Temperature Range – Operating: -20°C ~ 60°C, according to IEC60068-2 with 0.5 m/s AirFlow; storage: -45°C ~ 80°C Storage […]
NanoPi M4B Rockchip RK3399 SBC Drops the USB 3.0 Hub, Adds Bluetooth 5.0, an ADB Switch
NanoPi M4 was launched last year (2018) as a Rockchip RK3399 SBC following Raspberry Pi 3B+ form factor with 2 or 4GB DDR3 RAM, and was followed by NanoPi M4V2 this September with 4GB LPDDR4 memory, and power & recovery buttons. FriendlyELEC has been working on yet another revision with NanoPi M4B mixing some of the features of M4 and M4V2 such as DDR3 memory and power & recovery buttons, but the biggest change is the removal of the USB 3.0 hub which allowed for four USB 3.0 port, and now the company is going native leveraging the two USB 2.0 interfaces and two USB 3.0 interfaces inside Rockchip RK3399 processor which should lower the BoM cost, and in some cases improve performance. NanoPi M4B specifications: SoC – Rockchip RK3399 big.LITTLE hexa-core processor with 2x Arm Cortex-A72 @ up to 2.0GHz, 4x Cortex-A53 @ up to 1.5GHz, a Mali-T864 GPU […]
Khadas VIM3 NPU ToolKit Release & Video Demo
Khadas VIM3 board based on Amlogic A311D processor with a 5TOPS Neural-network Processing Unit (NPU) launched last June. We’ve reviewed VIM3 with Android 9 shortly after launch, but until recently it was not possible to leverage the NPU since the software was not quite ready yet. The goods news is that Khadas has now released the NPU toolkit for both VIM3, and the cheaper VIM3L boards. The NPU toolkit contains the following directory: docs – Model conversion documentation acuity-toolkit – Model conversion tools linux_sdk – Linux SDK android_sdk – Android SDK The toolkit works in host PCs running Ubuntu 16.04 or 18.04 with Tensorflow framework, and inference can run on both Linux and Android OS in Khadas VIM3/3L board. It includes an Inception v3 sample with 299×299 sample photos, among other demos. You’ll find documentation to get started with model conversion and inference in Linux on Khadas Wiki. You can […]
IEI ITG-100AI DIN-Rail Rugged mini PC Comes with a Myriad X AI Accelerator Module
Intel Myriad X vision processing unit was first introduced in 2017 as an upgrade to Myriad 2 VPU delivering up to 1 TOPS of neural compute performance. The new chip was eventually integrated into Intel Neural Compute Stick 2 launched late last year. We previously wrote about AAEON Boxer 8310AI family of Apollo Lake mini PCs featuring a Myriad X mPCIe module, but there’s now another company, namely Taiwan-based IEI, that has launched its own Myriad X powered rugged mini PC. Meet IEI ITG-100AI fanless AI embedded system. IEI ITG-100AI DIN-Rail Rugged mini PC Specifications: SoC – Intel Atom x5-E3930 dual-core Apollo lake processor @ 1.3GHz / 1.8 GHz (Turbo) with 12EU Intel HD Graphics 500; TDP: 6.5W System Memory: – 1x 204-pin DDR3L SO-DIMM slot pre-installed with 8 GB memory Storage – 128GB SATADOM, MicroSD slot, optional eMMC 5.0 flash up to 32GB. Display – 1 x VGA Connectivity […]