firefly

Posted on by Debashis Das - 2 Comments on Firefly introduces Rockchip RK3576 SoM and All-in-One carrier board compatible with NVIDIA Jetson Orin Nano and Orin NX modules

Firefly introduces Rockchip RK3576 SoM and All-in-One carrier board compatible with NVIDIA Jetson Orin Nano and Orin NX modules

AIO 3576JD4 Mainboard or devboard

Firefly has released a Rockchip RK3576 SoM and development board called the Core-3576JD4 Core Board with a SO-DIMM edge connector and the AIO-3576JD4 carrier board respectively. The core board or the SoM is built around an octa-core 64-bit processor with a Mali G52 MC3 GPU and a 6 TOPS NPU, so it can handle demanding AI tasks while maintaining low power consumption. The AIO-3576JD4 is a full-fledged carrier board with a wide range of on-board interfaces, like dual Gigabit Ethernet ports, MIPI-CSI, HDMI 2.1, USB 3.0, USB 2.0, USB Type-C, a Phoenix connector for serial, dual-row pin headers (SPI, I2C, Line in, and Line out), an M.2 socket for 5G, a mini PCIe for 4G LTE, an M.2 socket for WiFi 6/BT 5.2, and a third M.2 socket for SATA/PCIe NVMe SSD expansion. RK3576 AI SoM and dev board specification Core-3576JD4 specifications SoC – Rockchip RK3576 CPU – Octa-core  CPU […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Firefly EC-R3576PC FD is an Embedded Large-Model Computer based on Rockchip RK3576 processor

Firefly EC-R3576PC FD is an Embedded Large-Model Computer based on Rockchip RK3576 processor

Firefly RK3576 Embedded Large Model Computer

Firefly EC-R3576PC FD is described as an “Embedded Large-Model Computer” powered by a Rockchip RK3576 octa-core Cortex-A72/A53 processor with a 6 TOPS NPU and supporting large language models (LLMs) such as Gemma-2B, LlaMa2-7B, ChatGLM3-6B, or Qwen1.5-1.8B. It looks to be based on the ROC-RK3576-PC SBC we covered a few weeks ago, and also designed for LLM. But the EC-R3576PC FD is a turnkey solution that will work out of the box and should deliver decent performance now that the RKLLM toolkit has been released with NPU acceleration. However, note there are some caveats doing that on RK3576 instead of RK3588 that we’ll discuss below. Firefly EC-R3576PC FD 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 – ARM Mali-G52 MC3 GPU clocked at 1GHz with support for OpenGL ES 1.1, 2.0, and 3.2, OpenCL up to 2.0, and […]

Posted on by Debashis Das - 9 Comments on Firefly ROC-RK3576-PC low-profile Rockchip RK3576 SBC supports AI models like Gemma-2B, LlaMa2-7B, ChatGLM3-6B

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

Firefly ROC RK3576 PC SBC

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 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Firefly AIO-3562JQ – A Rockchip RK3562 SBC for industrial applications with isolated I/Os, RS485, RS232, and more

Firefly AIO-3562JQ – A Rockchip RK3562 SBC for industrial applications with isolated I/Os, RS485, RS232, and more

Firefly AIO-3562JQ SBC

Firefly AIO-3562JQ is an industrial SBC built around the company’s iCore-3562JQ system-on-module with a Rockchip RK3562(J) processor, designed to operate in the -40 to +85°C temperature range, and equipped with a 24-pin isolated terminal block with digital inputs and outputs (relays), RS485, RS232, CAN Bus, and UART. The board ships with up to 8GB RAM and 64GB eMMC flash and features a MIPI DSI interface, two MIPI CSI camera connectors, microphone and speaker connectors, two Ethernet ports, several USB interfaces, and more. Firefly AIO-3562JQ specifications: SoM – Firefly iCore-3562JQ SoC – Rockchip RK3562J CPU – Quad-core Arm Cortex-A53 processor @ up to 1.2 GHz (against 2.0 GHz for the Rockchip RK3562) GPU – Arm Mali-G52 EE with support for OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0 AI accelerator – None listed in the specs (Rockchip RK3562 comes with a 1 TOPS NPU) VPU – 4Kp30 H.364, H.264, VP9 video decoding, […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on Firefly AIBOX-1684X compact AI Box delivers 32 TOPS for large language models, image generation, video analytics, and more

Firefly AIBOX-1684X compact AI Box delivers 32 TOPS for large language models, image generation, video analytics, and more

SOPHON BM1684X AI Box

Firefly AIBOX-1684X is a compact AI Box based on SOPHON BM1684X octa-core Arm Cortex-53 processor with a 32 TOPS AI accelerator suitable for large language models (LLM) such as Llama 2, Stable Diffusion image generation solution, and traditional CNN and RNN neural network architectures. Firefly had already released several designs based on the SOPHON BM1684X AI processor with the full-featured Firefly EC-A1684XJD4 FD Edge AI computer and the AIO-1684XQ motherboard, but the AIBOX-1684X AI Box offers the same level of performance, just without as many interfaces, in a compact enclosure measuring just 90.6 x 84.4 x 48.5 mm. AIBOX-1684X AI box specifications: SoC – SOPHGO SOPHON BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3 GHz TPU – Up to 32TOPS (INT8), 16 TFLOPS (FP16/BF16), 2 TFLOPS (FP32) VPU Up to 32-channel H.265/H.264 1080p25 video decoding Up to 32-channel 1080p25 HD video processing (decoding + AI analysis) Up […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Axelera Metis PCIe Arm AI evaluation kit combines Firefly ITX-3588J mini-ITX motherboard with 214 TOPS Metis AIPU PCIe card

Axelera Metis PCIe Arm AI evaluation kit combines Firefly ITX-3588J mini-ITX motherboard with 214 TOPS Metis AIPU PCIe card

Metis PCIe Arm Evaluation Kit

Axelera has announced the general availability of several Metis PCIe AI Evaluation Kits that combine the company’s 214 TOPS Metis AIPU PCIe card with x86 platforms such as Dell 3460XE workstation and Lenovo ThinkStation P360 Ultra computers, Advantech MIC-770v3 or ARC-3534 industrial PCs, or the Firefly ITX-3588J mini-ITX motherboard powered by a Rockchip RK3588 octa-core Cortex-A76/A55 SoC. We’ll look into detail about the latter in this post. When Axelera introduced the Metis Axelera M.2 AI accelerator module in January 2023 I was both impressed and doubtful of the performance claims of the company since packing a 214 TOPS Metis AIPU in a power-limited M.2 module seemed like a challenge. But it was hard to check independently since the devkits were not available yet although the company only started their early-access program in August last year. Now, anybody with an 899 Euros and up budget can try out their larger Metis […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Firefly Core-3562JQ Rockchip RK3562J industrial SoM works in the -40 to +85°C temperature range

Firefly Core-3562JQ Rockchip RK3562J industrial SoM works in the -40 to +85°C temperature range

Rockchip RK3562 system-on-module

Firefly Core-3562JQ is a system-on-module based on Rockchip RK3562J SoC – the industrial-grade version of the Rockchip RK3562 quad-core Cortex-A53 Tablet SoC – designed to operate in the -40 to 85°C industrial temperature range and suitable for digital signage, industrial control systems, industrial PLCs, energy data concentrators, smart healthcare, self-service terminals, and more. The CPU module features up to 8GB RAM, 64GB flash, and a Rockchip RK809-5A PMIC, plus three 80-pin board-to-board connectors exposing video output and input interfaces, audio (SPDIF, PDM, I2S) interfaces, networking (GbE and Fast Ethernet), various USB interface, a 1-lane PCIe 2.1 interface, and more. Firefly Core-3562JQ specifications: SoC – Rockchip RK3562J CPU – Quad-core Arm Cortex-A53 processor @ up to 1.2 GHz (against 2.0 GHz for the Rockchip RK3562) GPU – Arm Mali-G52 EE with support for OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0 AI accelerator – None listed in the specs (Rockchip RK3562 comes […]

Posted on by Debashis Das - 1 Comment on Firefly CT36L AI Smart Camera Features Rockchip RV1106G2 with 0.5 TOPS NPU, 100Mbps Ethernet with PoE support

Firefly CT36L AI Smart Camera Features Rockchip RV1106G2 with 0.5 TOPS NPU, 100Mbps Ethernet with PoE support

CT36L AI Smart Camera with POE

Firefly CT36L AI Smart Camera (PoE) features a Rockchip RV1106G2 CPU with 0.5 TOPS NPU, a 5-megapixel ISP, and a 3-megapixel HD lens. It supports 100Mbps Ethernet with PoE and includes advanced image enhancements like HDR, WDR, and noise reduction, all while maintaining low power consumption and high image integration. We’ve previously explored various AI cameras such as Tokay Lite, EDATEC ED-AIC2020, ThinkCore TC-RV1126, Orbbec Persee+, M5Stack UnitV2 among others. Feel free to check them out for more information. Firefly CT36L AI Smart Camera (PoE) specifications: CPU – Rockchip RV1106G2 Arm Cortex-A7 @ 1.2GHz, with Neon and FPU NPU – 0.5 TOPS, supports INT4/INT8/INT16, TensorFlow/MXNet/PyTorch/Caffe/Onnx NN ISP – 5MP high-performance, HDR, WDR, 3DNR, 2DNR, sharpening, defogging, fisheye and gamma correction, feature detection VPU – 3072×1728 (5M) @ 30fps H.265/H.264 encoding, 16M@60FPS JPEG snapshot RAM – 128MB DDR3 built-in Storage – 16MB SPI Flash built-in Camera specifications: Type – Color Camera Image Sensor – SC3336 CMOS Size […]

EmbeddedTS embedded systems design