Nvidia Tegra X1 Category - Page 7 of 16 - CNX Software

September 6, 2021September 6, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Jetson Nano & Xavier NX carrier board offers 3x M.2 sockets, 10x RS232/RS485 interfaces

Geniatech NVJ100AI/NVJ100AIX is a carrier board fitted with either Jetson Nano or Jetson Xavier NX SoM with good expansion capabilities thanks to three M.2 sockets and ten RS232 and/or RS485 interfaces, plus the usual Gigabit Ethernet, USB ports, HDMI video interface, etc… Geniatech NVJ100AI/NVJ100AIX specifications: SoM Geniatech NVJ100AI – NVIDIA Jetson Nano with CPU – Quad-core Arm Cortex A57 MPCore processor @ up to 1.43 GHz GPU – Maxwell GPU, 128 CUDA core up to 512 GFLOPS (FP16) System Memory – 4GB LPDDR4 Storage – 16GB eMMC flash AI Performance – Up to 472 GFLOPS in 10 Watts mode Geniatech NVJ100AIX – NVIDIA Jetson Xavier NX CPU – Hexa-core NVIDIA Carmel ARMv8.2 64-bit CPU with 6MB L2 + 4MB L3 cache GPU – 384-core NVIDIA Volta GPU with 48 Tensor Cores Dedicated AI accelerators – 2x NVDLA Engines, 7-Way VLIW Vision Processor System Memory – 8GB LPDDR4 Storage – 16GB […]

August 26, 2021October 23, 2022 by Jean-Luc Aufranc (CNXSoft) - 17 Comments

Turing Pi V2 mini-ITX cluster board takes four Raspberry Pi CM4 or NVIDIA Jetson SoMs

The Turing Pi V2 is a mini-ITX cluster board that builds on the Turing Pi mini-ITX cluster board taking up to 7 Raspberry Pi Compute Modules introduced in 2019, but instead supports up to four Raspberry Pi CM4 (Compute Modules 4) or NVIDIA Jetson Nano/TX2 NX/Xavier NX SO-DIMM system-on-modules. The Turing Pi 2 board is equipped with two Mini PCIe sockets, two Gigabit Ethernet ports, two SATA III ports, four USB 3.0 ports, a 40-pin GPIO header, and a 24-pin ATX connector for power. Since board-to-board connectors – as found in Raspberry Pi Computer Module 4 – are not ideal for density, the company went with a design including 260-pin SO-DIMM connectors plus CM4 adapter boards, a design that allows them to also integrate other SoMs like the NVIDIA Jetson SO-DIMM modules. Turing Pi V2 specifications: SoM interface – 4x 260-pin SO-DIMM slot for up to four Raspberry Pi CM4 […]

August 13, 2021August 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 6 Comments

Xiaomi CyberDog quadruped robot is based on NVIDIA Jetson Xavier NX

We’ve previously written about consumer-grade smart robotic dogs selling for several hundred dollars with Petoi Bittle equipped with Arduino & Raspberry Pi, as well as XGO Mini Pro with Kendryte K210/K510 AI processor. Xiaomi has now launched its own quadruped robot that looks like a dog with the Xiaomi CyberDog equipped with a more powerful NVIDIA Jetson Xavier NX system-on-module (SoM), a larger and heavier body than competing consumer models, and a price tag of a little over $1,500. Xiaomi CyberDog specifications and key features: SoM – NVIDIA Jetson Xavier NXwith an hexa-core NVIDIA Carmel 64-bit Arm processor, a 384-core NVIDIA Volta GPU with 48 Tensor Cores, 2x NVDLA deep learning accelerators delivering a total of 21 TOPS at 15 Watts, 8GB RAM. Storage – 128GB “near” industrial-grade SSD Xiaomi’s in-house developed servo motors offering Maximum torque – Up to 32N·m Rotation speed – Up to 220Rpm Maximum speed – […]

June 16, 2021June 17, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

NVIDIA Jetson AGX Xavier Industrial module adds lockstep Cortex-R5 cluster, ECC RAM, and more

NVIDIA Jetson AGX Xavier is the most powerful module from the Jetson family packing 32 TOPS of AI inference performance. But with some customers wanting to use the embedded AI computer in harsher conditions, the company has now introduced a rugged version of the module with NVIDIA Jetson AGX Xavier Industrial. Some changes included a slightly lower performance (30 TOPS) to cater for an expanded temperature range, a dual-core Cortex-R5 cluster in lockstep, ECC memory, and compliance with shock and vibration standards. NVIDIA Jetson AGX Xavier Industrial specifications with bold highlights showing differences / new features: CPU – 8-core NVIDIA Carmel Arm v8.2 64-bit CPU with 8MB L2 + 4MB L3 GPU – NVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores for up to 20 TOPS (INT8) (Note: the standard version support 22 TOPS) DL Accelerator – 2x NVDLA accelerators for up to 10 TOPS (INT8) […]

June 8, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Aetina DeviceEdge Mini Edge AI computers support NVIDIA Jetson SO-DIMM modules

NVIDIA Jetson modules offer a wide range of AI performance starting from the entry-level 492 GFLOPS Jetson Nano module up to the 32 TOPS Jetson AGX Xavier platform. That’s probably Aetina decided to offer its DeviceEdge Mini AI edge solution with either Jetson Xavier NX, Jetson Nano, or Jetson TX2 NX pin-compatible SO-DIMM modules designed for applications in smart transportation, factories, retail, healthcare, AIoT, robotics, etc… The three models M1, M2, and M3 can all take the Jetson modules listed above, and come in a very similar form factor with the following key features: Common features: Storage – 128GB M.2 NVMe SSD (default) Video Output – Micro HDMI 1.4 connector Networking – Gigabit Ethernet RJ45 port, optional WiFi/Bluetooth M.2 module USB – 1x USB Type-C OTG only port Expansion 1x M.2 2242 M-key socket fitted with NVMe SSD 1x M.2 2230 E-key socket for optional Wifi/BT function 1x DB15 male […]

May 18, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

DSBOX-NX2 – An NVIDIA Jetson Xavier NX Industrial Fanless PC

Turkish company Forecr has launched DSBOX-NX2 NVIDIA Jetson Xavier NX based industrial fanless PC equipped with the company’s own DSBoard-NX2 carrier board and designed for “multi-stream deep learning edge analytics” and IIoT applications. The compact embedded computer comes with 8GB RAM, up to 2TB SSD storage, as well as HDMI 2.0 output, Gigabit Ethernet, two USB 3.1 ports for high resolution cameras, serial ports, and some GPIOs among other features. Forecr DSBOX-NX2 specifications: System-on-Module – NVIDIA Jetson Xavier NX module with hexa-core NVIDIA Carmel ARM v8.2 64-bit processor, NVIDIA Volta GPU with 384 CUDA core & 48 Tensor Cores, 8 GB 128-bit LPDDR4x, 16GB eMMC flash Storage – M.2 Key M SSD slot, MicroSD card slot Video Ouput – 1x HDMI 2.0 up to 3840×2160 at 60 Hz Networking Gigabit Ethernet Wireless – WiFi, Bluetooth, 4G LTE, 5G connectivity by extension sockets USB – 2x USB 3.1 Type-A Expansion 1x […]

May 14, 2021May 14, 2021 by Saumitra Jagdale - No Comments

NEON-2000-JNX series AI Camera Features NVIDIA Jetson Xavier NX SOM for AIoT Applications

Machine vision applications highlight the complexity of implementation due to the requirement of interfacing several devices. These devices include image sensor modules, cables, GPU modules, and memory units, thus increasing the time for development and deployment. ADLINK’s NEON-2000-JNX series AI camera aims to simplify the deployment of edge machine vision and AIoT use cases. NEON-2000-JNX series AI camera comes with an inbuilt ADLINK’s new edge vision analytics software known as the EVA SDK. The software reduces the time in designing and creating proofs-of-concept, which leads to quicker deployment of applications. Users get a wide range of options for selecting field-ready “application plug-ins and ADLINK-optimized AI models”. This ensures the quality of vision AI and eases the building of use cases with lesser software code and programs. Additionally, the preview function allows quicker verification of AI Inference flow. We saw the launch of NVIDIA’s Jetson Xavier NX SOM in April 2020 […]

April 9, 2021April 9, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Rugged, fanless quad-camera system brings AI and Machine Vision to rolling stock and automotive applications

quad-camera system automotive AI & machine vision

Eurotech BoltGPU 10-31 is a rugged fanless embedded system powered by NVIDIA Jetson Xavier NX module, equipped with four FAKRA connectors for GMSL camera, and designed to bring Edge AI and machine vision to rolling stock (e.g. trains) and automotive applications. The BoltGPU 10-31 also features 16 GB of eMMC flash, NVMe SSD support, three Gigabit Ethernet interfaces, WiFI 6 and Bluetooth 5.1, two USB3.1 ports, as well as isolated CAN-FD, optoisolated DIO, video out, and GNSS with optional RTK. BoltGPU 10-31 specifications: System-on-Module – NVIDIA Jetson Xavier NX with hexa-core NVIDIA Carmel ARM v8.2 64-bit CPU with 6MB L2 + 4MB L3 cache, 384-core NVIDIA Volt GPU with 48 Tensor Cores (up to 21 TOPS of accelerated computing), 8 GB LPDDR4x RAM, 16GB eMMC 5.1 flash Storage MicroSD card socket Optional 512 GB NVMe SSD on M.2 Key M socket 256 Kbit Serial EEPROM Video Output – 1x Mini […]