cnx-software.com2d ago

High-end 25MP global shutter camera with 10GbE interface is designed for NVIDIA Holoscan platform

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/18/high-end-25mp-global-shutter-camera-with-10gbe-interface-is-designed-for-nvidia-holoscan-platform/

High-end 25MP global shutter camera with 10GbE interface is designed for NVIDIA Holoscan platform

Leopard Imaging LI-IMX530-10GigE-NL is a high-end 25MP global shutter camera designed specifically for the NVIDIA Holoscan edge AI platform. The camera utilizes a 10GbE interface for high-bandwidth, low-latency data transmission, making it suitable for gesture recognition, iris scanning, head roll, and eye tracking. At the core of the camera module is the Sony IMX530, a 1.2-inch CMOS sensor with 5328 × 4608 resolution and a 2.74 μm pixel size. The sensor data is handled by a Lattice CertusPro-NX FPGA, and a Marvell 10GbE PHY takes care of high-bandwidth data transfer to GPU systems. The camera supports NVIDIA Jetson AGX Orin, IGX Orin, and Thor platforms. LI-IMX530-10GigE-NL specifications: FPGA – Lattice CertusPro-NX FPGA 52K to 96K logic cells 7.3 Mb total embedded memory External LPDDR4 memory support Up to 156x (18 x 18) multipliers within sysDSP blocks for AI/ML workloads 10 Gigabit Ethernet PCS blocks Image sensor Sony IMX530 Diagonal 19.3 mm

CNX Software - Embedded Systems News
cnx-software.com3d ago

ADLINK DLAP-701 – An NVIDIA Jetson T5000/T4000 Edge AI platform for humanoid robots and vision sensing systems

https://fed.brid.gy/r/https://www.cnx-software.com/2026/03/17/adlink-dlap-701-an-nvidia-jetson-t5000-t4000-edge-ai-platform-for-humanoid-robots-and-vision-sensing-systems/

ADLINK DLAP-701 – An NVIDIA Jetson T5000/T4000 Edge AI platform for humanoid robots and vision sensing systems

ADLINK has just launched the DLAP-701 Series, a NVIDIA Jetson T5000/T4000-based compact edge AI platform designed for humanoid robots, autonomous mobile robots (AMR), and vision sensing systems (VSS). It supports up to 128GB LPDDR5X memory and features various I/O options, including dual Gigabit Ethernet, a QSFP port supporting 4×25GbE LAN, multiple USB 3.2 ports, and HDMI output, along with M.2 slots for Wi-Fi 6, 5G, and NVMe storage, as well as an mPCIe slot. It also integrates CAN-FD interfaces for robotics and vehicle control and TPM 2.0 security. With an operating voltage range of 9-36V DC and an industrial temperature range of -20°C to 60°C, it is designed for demanding edge environments. ADLINK DLAP-701 specifications Supported system-on-module – NVIDIA Jetson Thor T5000 or Jetson Thor T4000 Memory – Up to 128GB (T5000 variant), 64 GB (T4000 variant) 256-bit LPDDR5X (273 GB/s bandwidth) Storage 128GB SSD for the OS (most probably ADLINK's ASD+ industrial

CNX Software - Embedded Systems News
Robin Dupont5d ago

I spent the weekend nerding out on my Jetson Nano.
I am working on depth estimation with stereo vision and car detection using YOLO.
The pipeline is a bit slow at the moment, but it is getting there !

#nvidia #jetson #artificialintelligence #DIY #raspberrypi

Banana Pi Open Source HardwareMar 5

Banana Pi BPI-SM10(BPI-CoM260) RISC-V K3-based, RVA23-compliant SBC, Run 80B large models

https://docs.banana-pi.org/en/BPI-SM10/BananaPi_BPI-SM10

#SBC #rsicv #SpacemiT #raspberrypi #bananapi #AI #AIoT #K3 #edgecomputing #NVIDIA #Jetson #Orin #Nano

sayzardFeb 9

Edje Electronics (@EdjeElectronics)

@ultralytics가 YOLO26을 발표했습니다. YOLO11보다 빠르고 정확하다고 소개하며 NVIDIA Jetson Orin Nano에서 실행하는 방법을 안내합니다: Orin Nano에 Ultralytics 설치, YOLO26을 TensorRT 형식으로 변환, 라이브 USB 카메라로 실행하는 절차와 관련 문서 링크를 포함합니다.

https://x.com/EdjeElectronics/status/2020844434045481350

#ultralytics #yolo26 #jetson #tensorrt

Edje Electronics (@EdjeElectronics) on X

(1/2) 🔥🔥 @ultralytics just released YOLO26! It's faster and more accurate than YOLO11. See how to run YOLO26 on the @NVIDIA Jetson Orin Nano: 🖥️Install Ultralytics on Orin Nano 🧠Convert YOLO26 to TensorRT format 📸Run on live USB camera Learn more: https://t.co/t61eBpe01g

X (formerly Twitter)
cnx-software.comFeb 4

reComputer Jetson AGX Orin Developer Kit GMSL Bundle features 8x GMSL2 camera interfaces, 10GbE networking

https://fed.brid.gy/r/https://www.cnx-software.com/2026/02/04/recomputer-jetson-agx-orin-developer-kit-gmsl-bundle-features-8x-gmsl2-camera-interfaces-10gbe-networking/

reComputer Jetson AGX Orin Developer Kit GMSL Bundle features 8x GMSL2 camera interfaces, 10GbE networking

Seeed Studio's reComputer Jetson AGX Orin Developer Kit GMSL bundle is an NVIDIA Jetson AGX Orin 32GB/64GB equipped with eight GMSL2 camera interfaces through two FAKRA connectors. It's based on the company's reComputer Mini J501 carrier board - a smaller version of the reServer Industrial J501 - with 10GbE and GbE RJ45 ports, HDMI 2.1 video output, two USB 3.2 ports, two USB 2.0 Type-C Debug/Recovery ports, and fitted with a 128 M.2 NVMe SSD and an M.2 WiFi 5 and Bluetooth 5.0 module, besides the daughterboard with the GMSL2 camera interfaces. reComputer Jetson AGX Orin Developer Kit GMSL Bundle specifications: Supported system-on-modules (one or the other) NVIDIA Jetson AGX Orin 32GB with CPU – 8-core Arm Cortex-A78AE v8.2 64-bit processor @ 2.2 GHz with 2MB L2 + 4MB L3 cache GPU and AI NVIDIA Ampere architecture with 1792 NVIDIA CUDA cores and 56 Tensor Cores @ 930 MHz DL Accelerator – 2x

CNX Software - Embedded Systems News
sayzardJan 30

EverlastingOS | PC² (@EverlastingOS)

ElastOS를 NVIDIA의 Jetson 보드에서 실행했다는 게시물로, 엣지(embedded) AI 환경에서 ElastOS의 호환성이나 데모 가능성을 시사합니다. AI 개발자에게는 Jetson 기반 엣지 디바이스에서 ElastOS를 활용할 수 있다는 정보로 유용합니다.

https://x.com/EverlastingOS/status/2017149995502227512

#nvidia #jetson #elastos #edgeai

EverlastingOS | PC² (@EverlastingOS) on X

Jan 30 2026: Running ElastOS on @nvidia Jetson.

X (formerly Twitter)
cnx-software.comJan 30

Jupiter 2 – RVA23-compliant SBC features SpacemiT K3 octa-core RISC-V AI SoC, up to 32GB RAM, 256GB UFS

https://fed.brid.gy/r/https://www.cnx-software.com/2026/01/30/jupiter-2-an-rva23-compliant-sbc-powered-features-spacemit-k3-octa-core-risc-v-ai-soc-up-to-32gb-ram-256gb-ufs/

Jupiter 2 – RVA23-compliant SBC features SpacemiT K3 octa-core RISC-V AI SoC, up to 32GB RAM, 256GB UFS

MILK-V Shenzhen Technology has just unveiled the Jupiter 2, the first RVA23-compliant RISC-V SBC powered by a 2.4 GHz SpacemiT K3 octa-core X100 CPU with up to 60 TOPS of AI performance, up to 32GB LPDDR5, 256GB UFS, and PCIe Gen3 x4 NVMe SSD support. The board also features an eDP connector, a 10GbE SFP+ cage, a Gigabit Ethernet RJ45 port, built-in WiFi 6 and Bluetooth 5.2 wireless connectivity, two USB Type-C connectors, four USB 2.0 ports, an M.2 Key-B socket coupled with a NanoSIM card slot for 4G LTE or 5G cellular connectivity, and more. Jupiter 2 specifications (preliminary): System-on-Module - K3-CoM260 (aka Jupiter 2 NX) SoC - SpacemiT K3 CPU - Octa-core 64-bit RISC-V X100 processor clocked up to 2.4 GHz with RVV 1.0 vector acceleration, RVA23 compliance; 130 KDMIPS performance (similar to RK3588) GPU - Imagination Technologies BXM4-64-MC1 GPU with Vulkan 1.3, OpenGL 3.0, and OpenGL ES

CNX Software - Embedded Systems News
sayzardJan 27

The Humanoid Hub (@TheHumanoidHub)

미국 기반 대안 휴머노이드 로봇으로 Fauna Robotics가 개발한 Sprout Humanoid 공개. 키 3.5피트, 무게 22.7kg(약 50lb), 관절 29 DoF, 목 구동식, 표정 제어용 눈썹, 고무 그리퍼, NVIDIA Jetson Orin 64GB 탑재. 가격은 약 5만 달러로 소개되어 로보틱스 개발자 대상의 Unitree 대안으로 제시됩니다.

https://x.com/TheHumanoidHub/status/2016221164939706815

#robotics #humanoid #faunarobotics #jetson

The Humanoid Hub (@TheHumanoidHub) on X

Robotics developers: Looking for an American alternative to Unitree? Sprout Humanoid: 3.5 feet tall, 22.7kg [50 lbs], 29 DoF. Features an actuated neck, expressive eyebrows, rubberized grippers and an NVIDIA Jetson Orin 64GB. Built by New York-based Fauna Robotics. Price: $50k

X (formerly Twitter)
cnx-software.comJan 27

Lanner EAI-I351 – An NVIDIA Jetson Thor Edge AI computer with 100GbE QSFP28 port and 8x GMSL2 camera

https://fed.brid.gy/r/https://www.cnx-software.com/2026/01/27/lanner-eai-i351-an-nvidia-jetson-thor-edge-ai-computer-with-100gbe-qsfp28-port-and-8x-gmsl2-camera/

Lanner EAI-I351 – An NVIDIA Jetson Thor Edge AI computer with 100GbE QSFP28 port and 8x GMSL2 camera

Lanner EAI-I351 is a rugged edge AI computer built around the NVIDIA Jetson Thor platform, featuring a 100GbE QSFP28 port and 8x GMSL2 camera inputs for high-bandwidth networking and low-latency vision processing. The system supports up to 128 GB of 256-bit LPDDR5X memory, features up to four 25GbE lanes via a QSFP28 port, a 5GbE RJ45 port, HDMI 2.0, four USB 3.2 Gen1 ports, two RS232/422/485 serial interfaces with optional CANBus, digital I/Os, and audio interfaces. Three expansion sockets are offered with an M.2 NVMe slot, an M.2 E-Key for Wi-Fi/Bluetooth, and an M.2 B-Key for 4G LTE/5G cellular with dual Nano-SIM support. Designed for industrial deployments, the embedded computer can operate in a –25°C to 70°C temperature range and takes 24V/48V DC power input. It targets robotics, smart manufacturing, and autonomous systems such as collaborative robots, AMRs, and machine-vision-based factory automation. Lanner EAI-I351 specifications: Supported system-on-module - NVIDIA Jetson

CNX Software - Embedded Systems News