Sandro Casiraghi presents https://www.padformusician.com/en/ based on the awesome Onyx Boox Max2 for a single or dual 97% of full A4 "like A4 paper" digital music notes reading experience, with a synchronized Bluetooth page turning pedal and Smartphone app. There are more than 1 million professional musicians in the world who potentially could benefit from this technology. This is made possible due to Onyx's Android solution on their Boox E Ink e-reader platform, as this is enabled through Android. The two readers connect via Wi-Fi direct and the master reader connects with the pedal and Smartphone using Bluetooth. Thus far they have been reaching out to professional and amateur musicians to get their feedback. Onyx is bringing their whole E Ink e-reader range up to their new Quad-core 1.6Ghz ARM platform with smoother and faster page turns, faster and better Android support. Onyx shows some of their new 6" e-reader designs including Boox Ligo, Boox Nova, Boox Poke that will come before the end of the year. While the 10.3" Boox Note is awesome, it is probably not a large enough screen for the music reading market. The Boox 9.7" Note S is newer and thinner and lighter too on their new faster platform too.
Interested distributors of the PadMu and potential e-Music reading customers can contact and read more about PadMu here:
Sunchip shows some of their latest products including their all-in-one AR system based on Rockchip RK3288, RK3399 board for digital signage. $58 Amlogic S912 TV box, $26 RK3126 HDMI Stick, $200 Apollo Lake Box. 360 panoramic camera. $7 single Smart Wi-Fi Plug, $11 for dual Wi-Fi plug.
Actions S900 is a Quad-core ARM Cortex-A53, the Actions S500 is a Quad-core Cortex-A9. Actions also shows some other products for video smart speaker, smart door bell, smart kids robots, Actions also provides their MIPS based chipset for Bluetooth speakers, here also they are launching their new ATB1103/ATB1109 ARM Cortex-M0 system for their upcoming Bluetooth and perhaps also low cost smart speakers platform.
The new Allwinner VR9 is quad-core ARM Cortex-A53 processor with an independent 32KB L1 I-cache + 32KB L1 D-cache, shared 512KB L2 cache, with MaliT760 GPU and support for OpenGLES 3.2 and OpenCL 1.1. Allwinner VR9 is the first SoC optimized for VR, with as low as dedicated 20ms low latency acceleration module portal, dual-engine direct drive dual-screen system, panoramic 6K visual effects with support for expansive camera positioning, up to 6K30 H265 and 4K60 HEVC/VP9 video decode. Allwinner's hope is that this SoC can be compatible with the Google Daydream platform for All-in-one VR device usage.
Emdoor is one of the largest design houses in Shenzhen, here they talk about their support for the new Allwinner VR9 quad-core ARM Cortex-A53 processor with an independent single core 32KB L1 I-cache + 32KB L1 D-cache, shared 512KB L2 cache, with MaliT760 GPU and support for OpenGLES 3.2 and OpenCL 1.1. Allwinner VR9 is the first SoC optimized for VR, with as low as dedicated 20ms low latency acceleration module portal, dual-engine direct drive dual-screen system, panoramic 6K visual effects with support for expansive camera positioning, up to 6K30 H265 and 4K60 HEVC/VP9 video decode.
Allwinner releases their new ARM SoCs for 64bit and 32bit cost effective tablets, featuring their new Allwinner A63 Quad-core ARM Cortex-A53 with Mali-T760MP2 GPU. This video was filmed at the Allwinner press conference event in Shenzhen where they had a lot of their industry partners, design houses, factories, OEMs, software partners, to see and to hear about the latest of what Allwinner has been working to do for them. The new Allwinner A50 is Allwinner's mid-range Quad-core ARM Cortex-A7 with Mali-400 GPU with support for DDR4 and LPDDR4 RAM, better TLC based Flash memory. For the very entry level Tablet market, Allwinner presents their new Allwinner A33G which is limited at a lower 1.35Ghz clock-speed with a lower resolution display support. While these 3 new ARM Processors by Allwinner are presented as their newest Tablet processors, they are also compatible with all sorts of other devices which could be Robots, interactive Smart Speakers with displays, Smart Rearview Mirrors, Smart Mirrors, Laptops, Desktops, and more. Allwinner also talks about their participation in the Open AI Labs which I also filmed here.
Bero (Bernhard Rosenkränzer) and his colleagues from the Linaro Mobile Group (Android) and the Linaro Home Group (TV Boxes) are working in the hacking room at Linaro Connect to prepare some demos for Demo Friday including AOSP TV on 8.1 (while most Android TV runs on 7.1), updating the Linux kernel on Android phones to some newer kernel version, and Bero also gives his opinions on the multi-Linux booting Gemini PDA amazing keyboard phone which he has purchased (see my video on Gemini PDA Linux support here)
Tom Cubie of Vamrs introduces two new Rockchip RK3399Pro based development boards with http://96boards.ai at Linaro Connect Hong Kong 2018, a new ecosystem of development boards for Artificial intelligence development, where the new Rockchip RK3399Pro includes an NPU (2.4 TOPS capable NPU) teamed up with Open AI Lab (who I interviewed here) to support the AI framework.
Rockchip has now officially joined 96Boards as Steering Committee member, which means ROCK960 and other futures 96rocks boards based on Rockchip processors now have official identity in the 96boards/linaro community.
ROCK960 Enterprise Edition board runs Rockchip RK3399Pro hexa core dual ARM Cortex-A72, quad ARM Cortex-A53, Mali-T860MP4 GPU with 2.4 TOPS capable NPU, up to 4GB RAM, Dual SATA 3.0 port with RAID 0/1 support, HDMI 2.0/eDP up to 4K @ 60 Hz, Dual MIPI CSI camera interfaces, Gigabit Ethernet, 802.11ac WiFi, 3x USB 3.0, 5x USB 2.0, PCIe 2.1 x16 slot and more.
Rock960 consumer edition which I previously also filmed here is about to be manufactured now to be available next month.
HKG18-300K1 – Keynote: Leendert van Doorn “Microsoft Azure: Operating at Hyper-Scale”
At scale everything changes. It is one thing to operate a datacenter of 10K nodes, it’s an entirely different thing to operate millions of nodes across 100’s of datacenters around the world. What works well for enterprises doesn’t necessarily work at scale.
Microsoft is currently deploying their 6th generation platform designs and at each generation their insights improve and in some cases entirely change leading to many specific requirements to silicon vendors, ODMs and system integrators. Over the years Microsoft effectively had to become its own OEM where they manage the entire system design from sheet metal, motherboards, firmware, hypervisors, operating systems, management stacks and corresponding higher-level services. They do this so they can control cost, quality, reduce complexity and drive their innovations.
In this talk he takes people through some of the lessons learned when Microsoft Azure’s scale increased over the years. He presents some of the rationale behind their ARM64 server plans and specifically the rational behind some of their ARM64 silicon requirements.
Leendert van Doorn is a distinguished engineer in Microsoft’s Azure organization where he is running a set of hyper-scale incubation projects. Before joining Microsoft he was a Corporate VP/Fellow at AMD driving various software and hardware initiatives. Leendert holds a Ph.D. from the Vrije Universiteit in Amsterdam, The Netherlands.
Learn More at http://connect.linaro.org
HiSilicon and Hoperun introduces their new HiKey 970 development board, 10nm HiSilicon Kirin 970 based (same chipset that is in the recent Huawei Mate 10) quad ARM Cortex-A73 at 2.36GHz with quad ARM Cortex-A53 at 1.8GHz with Mali-G72MP12 and their new Dedicated Neural-network Processing Unit (NPU) with 256MAC/cycle @ 960MHz performance. To be available next month for $299 on Amazon and at http://hihope.org this is their Super Edge AI Computing Platform with Huawei HiAI SDK that can provide up to 25X Performance and 50X better Power Efficiency compared with doing the AI tasks by CPU or GPU. This enables the Heterogeneous multi processing Resource Management for use in applications such as Deep Learning, Robots, Automobile, Smart City. The NPU provides frequently used artificial intelligence function APIs, model management APIs and basic operator computing APIs, so developers can focus on developing new AI applications instead of focusing on performance tuning. The HiKey970’s dedicated AI processor has a rich set of imaging and I/Os that enables developers to build highly integrated flexible products for AI-based intelligent cameras in smart cities.
UEFI + ARM Trusted Firmware
Video Codec enable
PCIe enable for storage and LTE connect
4 lanes CSI + 2 lanes CSI
CAN V2.0B up to 1Mbps
Video Dec up to H.265 3840x2160@60fps
6GB 1866MHz, 4 Channel LPDDR4x
GPS, GLONASS, and BeiDou