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December 4, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Think Silicon NEOX|V is the First RISC-V ISA based GPU

We are seeing more and more RISC-V microcontrollers and processors hitting the market, but so far they all lacked a GPU for 3D graphics acceleration. Think Silicon, the make of NEMA GPU for IoT and wearables, has now announced it will demonstrate NEOX|V GPU, the first RISC-V ISA based 3D, at the RISC-V Summit at the San Jose Convention Center, on December 10-12, in San Jose, California. NEOX|V key features: Parallel multi-core and multi-threaded architecture based on the RISC-V64GC ISA instruction set with adaptive NoC (Networks-on-Chip) Configurable from 4 to 64 cores Variety of cache sizes and thread counts organized in 1 to 16 cluster elements Variety of cluster/core configurations with compute power ranging from 12.8 to 409.6 GFLOPS at 800 MHz Support for FP16, FP32, and FP64 plus SIMD instructions Beside 3D graphics, the RISC-V GPU can also be used for machine learning, vision/video processing, and open GPGPU compute […]

December 3, 2019December 3, 2019 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Imagination Unveils IMG A-Series GPU Designed For Everything from IoT to Mobile and Server

Imagination Technologies has just launched IMG A-Series GPU which they claim is “The GPU of Everything” and “The fastest GPU IP ever”. IMG A-Series can be customized and scaled for various applications & markets from automotive, AIoT, set-top box, mobile, and server. Compared to the company’s earlier PowerVR 9Series GPU, IMG A-Series GPU delivers 2.5 times more performance, eight times faster AI processor, and 60% less power while running complex content with the same process node, area, and under similar conditions. IMG A-Series GPU supports the latest API standards including OpenGL ES, Vulkan, OpenCL, and Imagination provides a Unified AI API for use in combination with PowerVR neural network accelerators. It also offers 5x performance density compared to the best current shipping PowerVR devices and supports PVRIC4 lossless or virtually-lossless compression guaranteeing a 50% bandwidth and footprint reduction. The new GPU also leverages HyperLane Technology with up to eight individual, […]

November 29, 2019November 30, 2019 by Jean-Luc Aufranc (CNXSoft) - 24 Comments

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 […]

November 28, 2019 by Jean-Luc Aufranc (CNXSoft) - No Comments

Hacarus Embedded AI Computing Kit Leverages Sparse Modeling Technology

Hacarus AI Computing Kit Sparse Modeling Technology

AI training often requires thousands of samples to become accurate, and it can be costly and time-consuming, for example, if you want to train a model to detect manufacturing defects you’d need to provide images with both defective samples and good samples. Japanese AI experts at Hacarus have been working on a solution called Sparse Modeling which requires about 50 samples or even less for training, and worked with Congatec to provides an embedded AI computing kit leveraging the technology. Sparse Modeling Technology Hacarus does not go into great detail but explains Sparse Modeling technology is using a data modeling approach that focuses on identifying unique characteristics, in a way that humans recognize friends and family without having to look at everything from feet to head. That means algorithms based on Sparse Modeling do not need as much data as traditional AI solutions, leading to much smaller AI footprint suitable […]

November 27, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

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 […]

November 22, 2019November 23, 2019 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Zidoo M9 is a Rockchip RK3399 TV Box/Mini PC/SBC with Android 7.1 + SDK

Zidoo has launched several TV boxes running Android over the years, some of which we reviewed such as Zidoo X9 (2015), or Zidoo H6 Pro. They also have experience launched dual-OS systems with Android and OpenWrt running simultaneously for multimedia and router functions respectively through their Zidoo X9S media center. The company has now contacted CNX Software to review their latest model. Zidoo M9 is a higher-end Rockchip RK3399 powered Android 7.1 TV box or mini PC, and Zidoo will also sell it as a single board computer for custom projects in the field of robotics, automotive control, artificial intelligence and more. Zidoo M9 specifications: SoC – Rockchip RK3399 hexa-core processor with 2x Cortex-A72 cores @ 2.0GHz, 4x Cortex-A53 cores. and a Mali-T860MP4 GPU with support for OpenGL ES 1.1/2.0 /3.0, OpenVG1.1, OpenCL, and Directx11 System Memory – Dual-channel 4GB DDR (2GB is optional) Storage – 32GB eMMC5.1 flash (8GB/16GB/64G/128G […]

November 21, 2019 by Jean-Luc Aufranc (CNXSoft) - 8 Comments

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 […]

November 20, 2019 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Centaur Unveils an x86 SoC with Integrated AI Coprocessor

Artificial intelligence is handled at different levels in the ecosystem with ultra-powerful systems in the cloud equipped with dedicated hardware such as FPGA or GPU cards, while on the other side of the spectrum we have Arm or RISC-V based processor with AI accelerator for low power systems like smartphones or battery-powered smart cameras. Centaur Technology aims to provide a solution catering to the middle segment of devices that don’t need ultra-low power consumption, nor the highest possible peak performance, but still require a relatively compact form factor and low costs. Their solution is a still-unnamed octa-core x86 processor featuring Centaur NCORE AI coprocessor. SoC with built-in NPU (Neural-network Processing Unit) is pretty common in the Arm and RISC-V world, but it’s apparently a world’s first in the x86 space since existing solutions are all based on external accelerators. Key features of the Centaur x86 AI processor: x86 microprocessor with […]