… AICore DX-M1M specifications: AI Accelerator – DeepX DX-M1M neural processing unit NPU with up to 25 TOPS AI System Memory – 1GB LPDDR4X @ 4266 MT/s on-chip, supports up to 8GB according to DeepX Storage – 1Gbit QSPI NAND / NOR flash Host Interface – PCIe Gen 3.0 x4 supports Gen 1/2/3 and x1/x2 via… …
… Another STM32N6 AI vision hardware platform is the CamThink NeoEyes NE301 camera , but that’s more of a turnkey solution than a devkit. The Neuro N6 is modular. While it’s designed for AI Vision applications, it does not include a camera by default. …
… Stellar P3E SR6P3EC4/SR6P3EC6 specifications: MCU – SR6P3EC4 / SR6P3EC6 CPU Cores – 4x Arm Cortex‑R52+ cores at up to 500 MHz; Can be set as 4 cores 2 in lockstep or 3 cores all in lockstep Single precision floating-point unit FPU Hardware-based virtualization architecture for software isolation in… …
… Also, during the recent “Build with Claude” event, the company recommended the ESP32-S3-based M5Stack Cardputer as one of the best hardware options for developers who want to build physical devices that interact with AI agents. …
… The company has just officially launched the K3 Pico-ITX SBC , which is now available through various distributors. Firefly has launched its own K3 hardware with the AIBOX-K3, a complete industrial-grade RISC-V edge computing box. …
… Overall, the Flipper One will be a highly versatile, modular, open-source hardware and software Linux platform with networking and Edge AI capability. …
… While most people will likely install UmbrelOS on their own hardware, the company also released two hardware devices, the Umbrel Home and Umbrel Pro, which run the same software but offer priority support. …
Synaptics Coralboard is a development board powered by a Synaptics Astra SL2619 Edge AI SoC with a 1 TOPS Synaptics Torq inference engine implementing a Google Coral NPU , and supporting hardware-accelerated Google Gemma 3 lightweight models. …
… Banana Pi BPI-OM7 specifications: SoC – Rockchip RK3588 octa-core processor with CPU – 4x Cortex‑A76 cores @ up to 2.4 GHz, 4x Cortex‑A55 core @ 1.8 GHz GPU – Arm Mali-G610 MP4 GPU Video decoder – 8Kp60 H.265, VP9, AVS2, 8Kp30 H.264 AVC/MVC, 4Kp60 AV1 , 1080p60 MPEG-2/-1, VC-1, VP8 Video encoder – … …
… LILYGO T-Watch Ultra specifications: SoC – Espressif ESP32-S3R8 CPU – Dual-core Tensilica LX7 microcontroller up to 240 MHz with vector instructions for AI acceleration Memory – 512KB SRAM, 8MB PSRAM Wireless – WiFi 4 and Bluetooth 5.0 LE + Mesh connectivity Storage 16MB QSPI flash MicroSD card slo… …