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June 30, 2025June 30, 2025 by Debashis Das - 2 Comments

D-Robotics RDK X5 development board features Sunrise X5 octa-core SoC with 10 TOPS BPU for ROS projects

The D-Robotics RDK X5 is an upgraded AI development board built around the Sunrise X5 octa-core SoC and designed for more demanding ROS-based applications. Compared to the Sunrise X3-based RDK X3 and Horizon X3 AI development boards, which feature a 4-core CPU and 5 TOPS BPU, the RDK X5 comes with an 8-core Cortex-A55 SoC, a 10 TOPS NPU, and 8GB of RAM, doubling both the AI power and memory for demanding workloads. The board also features various I/O options with Wi-Fi 6, Bluetooth 5.4, CAN FD, and PoE support, whereas the X3 is limited to Wi-Fi 5, Bluetooth 4.2, and optional PoE. The X5 also adds four USB 3.0 ports and 4K 60 FPS video output, making it suitable for complex computer vision, robotics control, and machine learning applications. D-Robotics RDK X5 development board Specifications SoC – Sunrise X5 SoC with 8x Arm Cortex-A55 cores @ 1.5GHz 10 TOPS BPU (Neural Processing […]

July 30, 2024 by Debashis Das - 10 Comments

Firefly ROC-RK3576-PC low-profile Rockchip RK3576 SBC supports AI models like Gemma-2B, LlaMa2-7B, ChatGLM3-6B

Firefly ROC-RK3576-PC is a low-power, low-profile SBC built around the Rockchip RK3576 octa-core Cortex-A72/A53 SoC which we also find in the Forlinx FET3576-C, the Banana Pi BPI-M5, and Mekotronics R57 Mini PC. In terms of power and performance, this SoC falls in between the Rockchip RK3588 and RK3399 SoCs and can be used for AIoT applications thanks to its 6 TOPS NPU. Termed “mini computer” by Firefly this SBC supports up to 8GB LPDDR4/LPDDR4X memory and 256GB of eMMC storage. Additionally, it offers Gigabit Ethernet, WiFi 5, and Bluetooth 5.0 for connectivity. An M.2 2242 PCIe/SATA socket and microSD card can be used for storage, and the board also offers HDMI and MIPI DSI display interfaces, two MIPI CSI camera interfaces, a few USB ports, and a 40-pin GPIO header. Firefly ROC-RK3576-PC specifications SoC – Rockchip RK3576 CPU 4x Cortex-A72 cores at 2.2GHz, four Cortex-A53 cores at 1.8GHz Arm Cortex-M0 MCU at 400MHz GPU […]

April 20, 2022April 26, 2022 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

NVIDIA NVDLA AI accelerator driver submitted to mainline Linux

A large patchset has been submitted to mainline Linux for NVIDIA NVDLA AI accelerator Direct Rendering Manager (DRM) driver, accompanied by an open-source user mode driver. The NVDLA (NVIDIA Deep Learning Accelerator) can be found in recent Jetson modules such as Jetson AGX Xavier and Jetson AGX Orin, and since NVDLA was made open-source hardware in 2017, it can also be integrated into third-party SoCs such as StarFive JH7100 Vision SoC and Allwinner V831 processor. I actually assumed everything was open-source already since we were told that NVDLA was a “complete solution with Verilog and C-model for the chip, Linux drivers, test suites, kernel- and user-mode software, and software development tools all available on Github’s NVDLA account.” and the inference compiler was open-sourced in September 2019. But apparently not, as developer Cai Huoqing submitted a patchset with 23 files changed, 13243 insertions, and the following short description: The NVIDIA Deep […]

November 30, 2021June 8, 2022 by Sponsored Post - No Comments

Download a free trial of the SoftNeuro Deep Learning SDK for Intel and Arm targets (Sponsored)

Jetson Xavier Tensorflow Lite vs SoftNeuro

Morpho, a global research & development company established in Japan in 2004 and specialized in imaging technology, is now offering a free trial for the SoftNeuro deep learning SDK working on Intel processors with AVX2 SIMD extensions, 64-bit Arm targets, while also leveraging OpenCL and/or CUDA. Some of the advantages of SoftNeuro are that the framework is easy to use even for those without any knowledge about deep learning, it’s fast thanks to the separation of the layers and their execution patterns, and it can run on several different hardware and OS being cross-platform. SoftNeuro relies on its own storage format (DNN format) to deliver the above advantages. But you can still use models trained with any mainstream deep learning framework. TensorFlow and Keras models can be directly converted to the DNN format, while models from other frameworks can be converted first to the ONNX format and then to the […]

December 27, 2020December 26, 2020 by Saumitra Jagdale - 1 Comment

LG launches LG8111 AI SoC and development board for Edge AI processing

LG Electronics has designed LG8111 AI SoC for on-device AI inference and introduced the Eris Reference Board based on the processor. The chip supports hardware processing in artificial intelligence functions such as video, voice, and control intelligence. LG8111 AI development board is capable of implementing neural networks for deep learning specific algorithms due to its integrated “LG-Specific AI Processor.” Also, the low power and the low latency feature of the chip enhances its self-learning capacity. This enables the products with LG8111 AI chip to implement “On-Device AI.” Components and Features of the LG8111 AI SoC LG Neural engine, the AI accelerator has an extensive architecture for “On-Device” Inference/Leaning with its support on TensorFlow, TensorFlow Lite, and Caffe. The CPU of the board comes with four Arm Cortex A53 cores clocked at 1.0 GHz, with an L1 cache size of 32KB and an L2 cache size of 1MB. The CPU also […]

July 2, 2020July 26, 2020 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Zynq UltraScale+ Arm FPGA FZ3 Deep Learning Accelerator Card Supports Baidu Brain AI Tools

MYIR’s FZ3 card is a deep learning accelerator board powered by Xilinx Zynq UltraScale+ ZU3EG Arm FPGA MPSoC delivering up to 1.2TOPS for artificial intelligence products based on Baidu Brain AI open platform. The FZ3 card also features 4GB RAM, 8GB eMMC flash, USB 2.0 & USB 3.0 ports, Gigabit Ethernet, DisplayPort (DP) output, PCIe interface, MIPI-CSI and more. MYIR FZ3 card specifications: SoC – Xilinx Zynq UltraScale+ XCZU3EG-1SFVC784E (ZU3EG) MPSoC Quad-core Arm Cortex-A53 @ 1.2 GHz Dual-core Arm Cortex-R5 processor @ 600MHz Arm Mali-400MP2 GPU FPGA fabric System Memory – 4GB DDR4 Storage – 8GB eMMC flash, 32MB QSPI flash, 32KB EEPROM, MicroSD card slot Video Output – 1x Mini DisplayPort up to 4Kp30 Camera I/F 1 x MIPI-CSI Interface (25-pin 0.3mm pitch FPC connector) 1 x BT1120 Camera Interface (32-pin 0.5mm pitch FPC connector) Connectivity – 1x Gigabit Ethernet USB – 1x USB 2.0 Host, 1x USB 3.0 Host […]

August 3, 2019 by Stephen Vicinanza - No Comments

Actcast Combines IFTTT-like Service with AI and Raspberry Pi 3 / Zero

In a report on April 30, 2017, Idein had developed GPGPU accelerated object recognition for the Raspberry Pi platform. That development led to the beta release of the ActCast IoT platform, which was announced on July 29, 2019, and uses deep learning algorithms for object and subject recognition. The program is for use with IoT and AI. The idea is to increase performance and link the system to the web for even more solutions. What it Does The use of physical world information in IoT projects has many applications. Such as a doorbell that sees a person, can then recognize the person. Ultimately letting the user know over the web through a smartphone, the person should be let in. And then the system unlocks the door. So Actcast is a bit like IFTTT with artificial intelligence / computer vision capabilities. Edge Computing Bringing the source of data closer to the […]

January 3, 2019January 3, 2019 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

LG Unveils 8K, HDMI 2.1 Capable TVs Powered by Alpha 9 Gen 2 Processor

Last year Samsung unveiled their first 8K TV right before CES 2018 with a 85″ QLED model that can now be yours for a cool $15,000, and capable of upscaling SD / HD content to 8K using artificial intelligence since 8K content was not – and still is not – broadly available. One year has passed, and now LG has announced two new 8K TVs with HDMI 2.1 inputs just before CES 2019. Both 88″ Z9 OLED TV and 75″ SM99 8K LCD TV are powered by the company’s α9 (Alpha 9) Gen 2 processor running deep learning algorithms to deliver enhanced picture and sound. The press release gives an overview of how AI works on both video and audio as follows: In addition to content source detection, the new processor finely adjusts the tone mapping curve in accordance with ambient conditions to offer optimized screen brightness, leveraging its ability […]