$4 Orange Pi 4/4B PCIe Expansion Board Includes an mPCIe socket, and a SIM card Slot

Orange-Pi 4 PCIe Expansion Board

Rockchip RK3399 based Orange Pi 4 & 4B boards launched last year with a PCIe connector. But the PCIe interface is available via a 24-pin FPC connector, not quite a standard like a PCIe slot or mPCIe socket, and hard to use for most projects as you’d need to make your own PCIe adapter board. But it’s now become much easier to use the PCIe interface as Shenzhen Xunlong Software has now launched a $3.90 expansion board connecting to the 24-pin FPC connector, and allowing users to connect mPCIe cards, especially the ones for 3G/4G connectivity as a SIM card slot is also included.PCIe expansion board specifications: 24-pin FPC PCIe connector to Orange Pi 4/4B with PCIe, USB, power “key”, and GPIO1_A0 (See schematics below) mPCIe card socket SIM card socket Misc – Reset key Dimensions – 58 x 32 mm The company confirmed the PCIe interface should work in both Android and Linux. It might be good if they …

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Google Coral mPCIe and M.2 Cards for Sale, New Coral Dev Board Mini and Modules Coming in 2020

Google introduced Coral development board and USB accelerator with Google Edge TPU last year. The development board was comprised of a baseboard and Coral system-on-module with an NXP i.MX 8M quad-core Arm Cortex-A53 processor and the Edge TPU. Since then ASUS announced Tinker Edge T and CR1S-CM-A SBC based on the Coral module, and yesterday, I noticed Seeed Studio started selling mPCIe and M.2 AI accelerator card with Google Edge TPU, while today, Google announced upcoming Coral products for 2020. Coral Mini PCIe and M.2 Accelerators Coral Mini PCIe card specifications: Half-mini PCIe card with PCIe Gen2 x1 Supply voltage –  3.3VDC +/- 10 % Dimensions – 30.00 x 26.80 x 2.55 mm Weight – 3.6 g Temperature Range – Storage: -40 ~ 85°C; operating: -20 ~ 70°C Relative humidity – 0 ~ 100% (non-condensing) Op-shock – 100 G, 11ms (persistent); 1000 G, 0.5 ms (stress); 1000 G, 1.0 ms (stress) Op-vibe (random) – 0.5 Grms, 5 – 500 Hz …

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ROCK Pi SATA HAT Targets ROCK Pi 4 & Raspberry Pi 4 NAS

Raxda ROCK Pi 4 is a single board computer (SBC) powered by Rockchip RK3399 hexa-core processor and inspired by Raspberry Pi 3 Model B+. The company has now designed ROCK Pi SATA HAT expansion board to design 4-bay NAS based on Raspberry Pi 4 and ROCK Pi 4. There are 3 models with support for 2, 4 or 5 drives: Dual/Quad SATA HAT connected over two USB 3.0 ports and working with both boards Penta SATA HAT connected over PCIe and compatible with ROCK Pi 4 only ROCK Pi Dual/Quad SATA HAT Specifications: 2x or 4x SATA connectors supporting 2.5″ or/and 3.5″ HDD/SSD 2x USB 3.0 port to connect to RPi 4 via one or two JMS561  USB to SATA controllers Storage Features – HDD suspend mode, UASP, software RAID 0/1/5 Misc Fan and heatsink header for Raspberry Pi 4 CPU cooling Optional PWM control fan for HDD heat dispatching Optional OLED display for IP Address/Storage info Power Supply 1x …

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Gen 3 Intel Movidius “Keem Bay” VPU Introduced at 2019 Intel AI Summit

Intel Movidius Keem Bay VPU

Intel made announcements about upcoming AI solutions at 2019 Intel AI Summit. Those include Intel Nervana Neural Network Processors (NNP) for training (NNP-T1000) and inference (NNP-I1000) for cloud and data center customers, as well as Gen 3 Intel Movidis “Keem Bay” VPU. We’ll focus on the latter in this post with Intel claiming similar performance as NVIDIA Jetson AGX Xavier at much lower power consumption with claims of up to 4.7 times more power efficiency when using ResNet-50 benchmark inference measurement using INT8 with a batch size of 1. Considering Jetson Xavier AGX has a ~30W power budget, that would mean Movidius “Keem Bay” consumes around 6 Watts.  Compared to Myriad X MA2085, the new Gen3 VPU is said to have more than 10 times the inference performance. Intel did not provide any TOPS figure, but considering the company announced 1 TOPS of neural compute performance for Myriad X, one may expect Keem Bay to deliver 10 TOPS. The higher …

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AAEON M.2 and mPCIe Cards for AIoT Acceleration Run Kneron KL520 AI SoC

The AAEON announcement of its AI Acceleration M.2 and mini-PCIe cards AAEON uses Kneron KL520 AI SoC dual Cortex-M4 on a series of new modules that are accelerating AI edge computing and that only need 0.5 Watt of power. The modules are M.2 and mini-PCIe AI acceleration cards, that offer a new way to come at AI acceleration. What AI Features are Enhanced The cards are meant to enhance and accelerate AI functions, like gesture detection, facial and object recognition, driver behavior in such AIoT areas as access control, automation, and security. History of the AAEON Development Previously AAEON has been offering the M.2 and mini-PCIe AI core modules for the Boxer computers that are based on the Intel Movidius Myriad 2 and Myriad X Vision Processing Units (VPU). Reporting was done on these previous releases in the articles on the UP AI core mini-PCIe card and the  AI Core XM2280 M.2 card, using two Myriad X VPUs. AAEON is …

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New Raspberry Pi 4 VLI Firmware Lowers Temperature by 3-5°C

Raspberry Pi 4 VLI Firmware Idle Temperature

The other day I tested Raspberry Pi 4 with an heatsink since previous multi-threaded benchmarks clearly made the board throttle when running those without any cooling solution. The guys at the Raspberry Pi Foundation somehow noticed my post, and I received an email from Eben Upton explaining a new Raspberry Pi 4 VLI firmware had “some thermal optimizations that are not installed by default on early production units.” I did not understand VLI at first, but eventually understood this referred to the firmware for VIA VL805 PCIe USB 3.0 controller on the board. The Raspberry Pi Foundation provided me with a test version of the firmware, which they’ll release in the next few days, or weeks after testing is completed. Now if you’re going to test a platform that will throttle due to overheating, it’s very important you do so at constant room temperature. I work in a office where the air conditioner is set to 28°C, so that’s about …

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AAEON AI Core XP4/XP8 PCIe Card Combines up to 8 Myriad X VPU’s

AAEON AI Core XP4 XP8

Movidius Myriad X is Intel’s latest vision processing unit (VPU) first unveiled in 2017, and available for evaluation in Intel Neural Compute Stick 2 since the end of 2018. Later on, AAEON also launched their own AI Core XM2280 M.2 card equipped with two Myriad X 2485 VPU’s and capable of up to 200 fps (160 fps typical) inferences, thanks to over 2 TOPS of deep neural network (DNN) performance. But what if you need even more performance? The company has now launched AI Core XP4/XP8 card with either two or four AI Core XM2280 M.2 cards that can be connected into any computer or workstation with a PCIe x4 slot. AAEON AI Core XP4/XP8 specifications: 4x M.2 sockets for 2x or 4x M.2 2280 M-key cards with 2x Myriad X VPU’s and 2x 4Gbit LPDDR4x memory each Asmedia PCIe switch Cooling – Fan heatsink PCIe x4 standard full-length low profile slot card Dimensions – 167 x 111 mm Temperature …

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Khadas VIM3 Amlogic S922X Board to Support M.2 NVMe SSD, WiFi 5, and Bluetooth 5 Connectivity

Khadas VIM3

Ever since the Amlogic S922X powered ODROID-N2 SBC launched last March, I keep reading praise for the processor and board which both deliver great performance at a relatively low price. Hardkernel was the only company that sold such a board so far, but this is about to change with some competition coming from Shenzhen Wesion with their upcoming Khadas VIM3 board that includes 2 to 4GB RAM, 16 to 32GB eMMC flash storage, a wireless module, support for M.2 NVMe SSD, and more. Even though more are planned in the future, two Khadas VIM3 models have been announced so far – Basic and Pro – with the following preliminary specifications: SoC – Amlogic S922X hexa-core processor with 4x Arm Cortex-A73 and 2x Cortex A53 cores, Arm Mali-G52 MP4 GPU, built-in Cortex-M4 core for “always-on” processing MCU – STMicro STM8S003 with Programmable EEPROM for power management, customizations, and boot media configuration System Memory & Storage VIM3 Basic – 2GB LPDDR4/4X RAM, …

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