Microchip recently unveiled the PIC64HX1000 64-bit RISC-V AI microprocessor (MPU) family designed for mission-critical intelligent edge applications in the aerospace, defense, industrial, and medical sectors thanks to a quantum-resistant design. These new MPUs feature eight SiFive’s Intelligence X280 cores, each clocked at 1 GHz. The MPUs are engineered with a decoupled vector pipeline enabling 512-bit operations enabling the PIC64HX1000 to achieve up to 2 TOPS for AI/ML processing and come equipped with integrated Time-Sensitive Networking (TSN) Ethernet connectivity. This new microprocessor includes a dedicated system controller for runtime monitoring and fault management, WorldGuard architecture for workload isolation, and post-quantum defense-grade cryptography, which includes the NIST-standardized FIPS 203 and FIPS 204 cryptographic algorithms, ensuring protection against future quantum computing threats. PIC64HX1000 64-bit AI MPU specification MPU variants PIC64HX1000 – IN (Industrial) PIC64HX1000 – AV (Aviation) PIC64HX1000 – MI (Military) CPU – 8x 64-bit RISC-V cores (SiFive X280), up to 1 GHz, […]
Raspberry Pi AI HAT+ features Hailo-8L or Hailo-8 AI accelerator with up to 26 TOPS of performance
The Raspberry Pi AI HAT+ is a PCIe expansion board for the Raspberry Pi 5 with either a 13 TOPS Hailo-8L or 26 TOPS Hailo-8 AI accelerator. You may remember the Raspberry Pi AI Kit was introduced last June with an official M.2 Key M HAT+ and a 13 TOPS Hailo-8L M.2 AI accelerator module, The new Raspberry Pi AI HAT+ is quite similar except the chip is soldered on the expansion board and offered with either Hailo-8L or the more powerful Hailo-8 variant. Raspberry Pi AI HAT+ specifications: Supported SBC – Raspberry Pi 5 AI accelerator Hailo-8L AI accelerator with up to 13 TOPS of performance Hailo-8 AI accelerator with up to 26 TOPS of performance Host Interface – PCIe Gen3 interface 16mm stacking GPIO header PCIe FPC cable Spacers and screws enabling fitting on Raspberry Pi 5 with Raspberry Pi Active Cooler Dimensions – 65 x 56.5 mm […]
Qualcomm introduces IQ9, IQ8, and IQ6 industrial IoT SoC families with up to 100 TOPS of AI performance
Qualcomm Technologies has introduced the new industrial-grade IQ chipset family with the IQ9, IQ8, and IQ6 series offering on-device AI performance of up to 100 TOPS, industrial temperature range, and built-in safety features such as SIL-3 (safety and integrity level). Qualcomm IQ series of chipsets target a range of premium (IQ9), mid-tier (IQ8), and entry-level (IQ6) applications such as industrial and agricultural robots, drones, industrial inspection and automation, edge AI boxes with computer vision capabilities, edge gateway analytics solutions, and more. Qualcomm IQ9 Series – IQ-9100, IQ-9075 Key features and specifications: CPU IQ-9075 – Octa-core Kryo Gen 6 scaling from 1.632 to 2.55 GHz IQ-9100 – Octa-core Kryo Gold Prime @ 2.36 GHz (CNXSoft: The specs are not clear for the CPU part…, both SKUs could be the same for the CPU part) GPU – Adreno 663 GPU Audio DSP (LPASS) 1980 MPPS, 7x TDM/I2S 3x High-Speed I2S for Radio […]
Firefly introduces Rockchip RK3576 SoM and All-in-One carrier board compatible with NVIDIA Jetson Orin Nano and Orin NX modules
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 […]
reComputer R1000 Raspberry Pi CM4-powered IoT Gateway runs open-source software for Edge AI applications (Sponsored)
Seeed Studio is a Raspberry Pi-approved reseller and device designer. In May 2024, Seeed released their first edge IoT Raspberry Pi-powered gateway and controller, reComputer R1000. It is Raspberry Pi CM4-powered, with AI capabilities when equipped with Hailo NPU. It comes with all the necessary features that a robust and reliable industrial edge IoT device needs, along with rich and versatile interfaces like three RS485 ports, dual Ethernet, and flexible IoT wireless communication (4G, LoRa, Wi-Fi/BLE, Zigbee) and essential functional modules (GPS, UPS, TPM2.0, PoE, SSD, etc.). With Modbus and BACnet supported, it’s a perfect fit for remote access control, especially BMS, BAS, and iBMS. You’ll find more technical details in our previous article about the reComputer R1025, and on Seeed Studio’s product page where you can also purchase the AIoT gateway. As a powerful edge IoT controller and gateway with AI capabilities, it embraces the Raspberry Pi community, is […]
Raspberry Pi AI Camera with Sony IMX500 AI sensor and RP2040 MCU launched for $70
We previously noted that Raspberry Pi showcased a Raspberry Pi Zero 2W with a Raspberry Pi AI camera based on a Sony IMX500 intelligent vision sensor at Embedded World 2024, but it was not available at the time. The good news is that the Raspberry Pi AI camera is now available for $70 from your favorite distributor. This follows the launch of the more powerful Raspberry Pi AI Kit designed for the Raspberry Pi 5 with a 13 TOPS Hailo-8L NPU connected through PCIe. The AI camera based on a Sony IMX500 AI camera sensor assisted by a Raspberry Pi RP2040 to handle neural network and firmware management is less powerful, but can still perform many of the same tasks including object detection and body segmentation, and works on any Raspberry Pi board with a MIPI CSI connector, while the AI Kit only works on the latest Pi 5 board. […]
reServer Industrial J501 – An NVIDIA Jetson AGX Orin carrier board with 10GbE, 8K video output, GMSL camera support
Seeed Studio’s reServer Industrial J501, a Jetson AGX Orin carrier board designed for building Edge AI systems. With up to 275 TOPS of exceptional AI performance, this carrier board is designed for advanced robotics and edge AI applications for industrial environments. The carrier board features GbE and 10GbE LAN via RJ45 ports, three USB 3.1 ports, an HDMI 2.1 output, and multiple M.2 slots for expansion, including support for wireless connectivity via the M.2 Key B socket. Additionally, it has support for 8K video decoding and up to 8 GMSL cameras via an optional extension board. reServer Industrial J501 Jetson AGX Orin carrier board specification System-on-Module (one or the other) SoM – NVIDIA Jetson AGX Orin 64GB with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ […]
Intel RealSense Depth Module D421 offers a low-cost depth-sensing solution at just $80
Intel RealSense Depth Module D421 is an entry-level stereo depth module with a 0.2 to 3-meter recommended range, a global shutter to capture motion without artifacts, and a 75° × 50° field of view (FoV). Intel has made RealSense Depth cameras for years, including the popular RealSense D435i with 6 DoF tracking introduced in 2018 that currently sells for about $320. But not all projects need the most advanced features and/or are viable when needing to spend several hundred dollars on the camera itself. The RealSense Depth Module D421 is a much cheaper way to integrate depth-sensing into projects at a much lower price point. It’s fairly similar to the earlier D435 but lacks an RGB camera. Intel RealSense Depth Module D421 specifications: Based on the Intel D4 Vision Processor Image sensor technology – Global Shutter Recommended Range – 0.2 m to over 3 m (varies with lighting conditions) Depth […]