Tag: NPU

Avnet MaaXBoard OSM93 is a NXP i.MX 93 Cortex-M55/M33 AI SoC powered SBC in a Raspberry Pi from factor. The SBC is built around a Size-S OSM module and supports different Raspberry Pi HATs. This SBC is equipped with 2GB LDDR4 and 16GB eMMC flash, and MIPI CSI and DSI interfaces for the...

Chinese manufacturer LuckFox has recently introduced two new development boards, the LuckFox Pico Pro and the Luckfox Pico Max. Both boards are built upon the Rockchip RV1106 SoC and offer a Linux-based development platform for IoT applications.  The RV1106 SoC powers the board,...

The Toybrick TB-RK3588SD is a single-board computer(SBC) powered by the Rockchip RK3588S, equipped with 8GB LPDDR4X RAM and a dual-core GPU and NPU for AI. It's designed for multimedia applications in AI, VR, and cloud computing, all while maintaining a similar form factor to a...

The Milk-V Duo 256M is a compact board powered by the SOPHGO SG2002 SoC, integrating multiple architectures including Arm, RISC-V, and 8051. It has 256MB of built-in RAM and a 1 TOPS neural processing unit (NPU) for advanced computations. For storage, it features a microSD card slot....

Sipeed recently launched four Sipeed LicheeRV Nano boards powered by the SOPHGO SG2002 RISC-V CPU. These boards support 100Mbps Ethernet, Wi-Fi 6, an NPU, a camera, an LCD, and more. The board is powered by the SOPHGO SG2002 RISC-V CPU, offering users a choice between a C906 RISC-V...

At CES2024, AONDevice unveiled its new on-device machine learning chip, the AON1120. It features a RISC-V core, two NPU coprocessors, and a DSP, and operates at a remarkably low power consumption of just 260μW for full-load audio classification tasks. The AON1120 is a system-on-chip...

Mekotronics has launched a new hardware platform, LS1200 live streaming box, built around MTK Genio 1200 (MT8395) processor. By harnessing the computing power capabilities of the Genio chipset, the LS1200 is well-suited for live streaming applications. The MTK Genio 1200 targets AI...

We have come across multiple hardware development boards and MCUs that employ Edge AI for processing and computing. On the other hand, cloud computing was traditionally preferred as an alternative for implementation due to its scalability and easier to develop applications on the cloud...