Geniatech AIM-B2 Edge AI Module Delivers 40 TOPS with PCIe Gen4
https://www.electronics-lab.com/geniatech-aim-b2-edge-ai-module-delivers-40-tops-with-pcie-gen4/
Powered by the Kinara Ara-2 processor, the AIM-B2 supports LLaMA 2, Stable Diffusion, and PCIe Gen4 connectivity in a 12W module.
Forlinx FAI-ARA240-M M.2 AI Accelerator Delivers 40 eTOPS
https://www.electronics-lab.com/forlinx-fai-ara240-m-m-2-ai-accelerator-delivers-40-etops/
Forlinx Embedded launches an M.2 AI module with NXP Ara240, 16GB RAM, and PCIe Gen4, enabling high-throughput edge AI and Llama2-7B inference at 14 tokens/s.
Vividnode Mobile AI Mini PC Packs 60 TOPS RISC-V Performance
https://www.electronics-lab.com/vividnode-mobile-ai-mini-pc-packs-60-tops-risc-v-performance/
Powered by SpacemiT K3, this compact system delivers 60 TOPS AI compute, 32GB RAM, and rich I/O for local LLM inference and edge AI development.
Radxa AICore DX-M1M Edge AI Acceleration Module Hits 25 TOPS
https://www.electronics-lab.com/radxa-aicore-dx-m1m-edge-ai-acceleration-module-hits-25-tops/
Compact Radxa module with DeepX NPU delivers 25 TOPS at 3W for efficient edge AI workloads.
ASUS UGen300 Βrings Hailo-10H Εdge AI Αcceleration Οver USB-C
https://www.electronics-lab.com/asus-ugen300-%ce%b2rings-hailo-10h-%ce%b5dge-ai-%ce%b1cceleration-%ce%bfver-usb-c/
The ASUS UGen300 is a USB AI accelerator with Hailo-10H, 40 TOPS performance, and 8GB memory, enabling plug-and-play edge inference on Linux, Windows, and Android systems.
Infineon’s DEEPCRAFT AI Suite Unlocks Edge AI on PSOC Edge Microcontrollers
https://www.electronics-lab.com/infineons-deepcraft-ai-suite-unlocks-edge-ai-on-psoc-edge-microcontrollers/
The new AI suite includes DEEPCRAFT Studio for training computer vision, audio, and radar models and DEEPCRAFT Model Converter that supports open-source frameworks such as PyTorch and TFLite for efficient deployment.
Vicharak Axon SBC features RK3588, 8GB RAM, 4K Graphics, and 6 TOPS NPU for AI Applications
https://www.electronics-lab.com/vicharak-axon-sbc-features-rk3588-8gb-ram-4k-graphics-and-6-tops-npu-for-ai-applications/
Vicharak recently introduced the Axon—AI Edge Single Board Computer (SBC), a compact yet powerful computing device designed for AI, graphics, and multi-display workflows. Built around the RockChip RK3588 the Axon platform is a high-performance computing system powered by the RockChip RK3588 processor, featuring an 8-core CPU (4x Cortex-A76 + 4x Cortex-A55) clocked up to 2.4GHz […]
Mekotronics Rockchip RK3588 4K Video Encoder
https://www.electronics-lab.com/mekotronics-rockchip-rk3588-4k-video-encoder/
Mekotronics’ Rockchip RK3588 4K Video Encoder hits the market with an NPU, 4 SDI Inputs, an 8K, 60Hz output, along with 64 GB of internal storage. Its Octa-core CPU is ARM-based. The Mali-G610 GPU provides for good high-end signage. As an introductory SDI, it has a versatile functionality. Professionals prefer SDIs over HDMIs for their […]
Axelera AI Unveils Metis M.2 AI Accelerator with PCIe Gen3 x4 Interface for Edge AI Applications
https://www.electronics-lab.com/axelera-ai-unveils-metis-m-2-ai-accelerator-with-pcie-gen3-x4-interface-for-edge-ai-applications/
The Metis M.2 AI Edge Accelerator, developed by Axelera AI, is a high-performance AI inference module designed for constrained devices. It features a Metis AIPU (AI Processing Unit) with 1 GB DRAM, supporting PCIe Gen3 x4 for fast data transfer. With a peak INT8 performance of 214 TOPS and power consumption ranging from 3.5W to […]
Axelera AI Metis Compute Board: RK3588-Based SBC with Metis AI Accelerator for Edge AI Applications
https://www.electronics-lab.com/axelera-ai-metis-compute-board-rk3588-based-sbc-with-metis-ai-accelerator-for-edge-ai-applications/
Axelera AI has introduced the Metis Compute Board, a compact SBC designed for edge AI applications. It features the Rockchip RK3588 processor, combining Cortex-A76 cores for high performance and Cortex-A55 cores for power efficiency. The board integrates the Metis AI accelerator with a four-lane PCIe connection to the CPU, enabling high-speed AI inference. With 16GB […]