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
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
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

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 boosts appreciated

genuinely, nvidia pisses me off SO much that I am willing to entirely switch platforms from this shit. is there any alternative to a nvidia jetson for using with ros for robotics-type applications? (example) I need hardware acceleration because I'm going to be:

  • doing SLAM on LiDAR data & several video streams (using RTAB-Map)
  • running some ML models on the video streams
  • hardware encoding of video streams (some of this has already been offloaded to dedicated devices, however I'm still going to need to do it for some other streams which don't use those devices)

willing to use something that isn't as dedicated to open source, so long as it's reasonably supported.
bonus points for open source, though

misc tags for visibility:
#nvidia #jetson #nvidiajetson #ros #ros2 #robotics #openrobotics

2-channel GMSL camera adapter board supports Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX

After phasing out the earlier MAX9296-GMSL-Camera-Board, Waveshare has now released the MAX9296-GMSL-DESER-MODULE 2-channel GMSL camera adapter board designed for high-speed, low-latency video transmission on the Raspberry Pi 5 and NVIDIA Jetson Orin Nano/NX developer kits. The adapter is built around the MAX9296A deserializer, and supports two MATE-AX FAKRA Z coaxial inputs for long-distance video transmission and two 22-pin CSI outputs for connection to the host. It supports both GMSL1 and GMSL2 cameras (such as the Sony ISX031) via software configuration and is compatible with serializers like the MAX9295, MAX96717, and MAX96705. These features make it suitable for applications such as robotics, autonomous driving, surround-view systems, and more. Waveshare MAX9296-GMSL-DESER-MODULE specifications: Compatible boards – Raspberry Pi 5, Jetson Orin Nano, Jetson Orin NX developer kits Deserializer IC – Maxim (ADI) MAX9296A GMSL Inputs – Supports two GMSL2 cameras(ISX031) via MATE-AX FAKRA Z connectors (backward compatible with GMSL1) Output Interfaces – 2x 22-pin

CNX Software - Embedded Systems News

Elecrow AI starter kit turns NVIDIA Jetson Orin Nano into a learning platform with 11.6-inch display, 30 electronics modules

https://web.brid.gy/r/https://www.cnx-software.com/2025/12/30/elecrow-ai-starter-kit-turns-nvidia-jetson-orin-nano-into-a-learning-platform-with-11-6-inch-display-30-electronics-modules/

Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

https://web.brid.gy/r/https://www.cnx-software.com/2025/12/22/forlinx-fcu3011-an-nvidia-jetson-orin-nano-fanless-industrial-computer-with-4x-gbe-optional-4g-5g-and-wi-fi-connectivity/

Forlinx FCU3011 – An NVIDIA Jetson Orin Nano fanless industrial computer with 4x GbE, optional 4G/5G and Wi-Fi connectivity

Forlinx Embedded has recently released the FCU3011, a compact, fanless industrial AI edge computer built around the NVIDIA Jetson Orin Nano, designed for 24/7 operations in manufacturing, smart cities, robotics, and machine vision systems, where real-time processing is needed. The fanless system supports NVIDIA Jetson Orin Nano 4GB (34 TOPS) or 8GB (up to 67 TOPS) configurations, with 4GB/8GB LPDDR5 memory and a 128GB PCIe x4 NVMe SSD. Connectivity options include up to four Gigabit Ethernet ports, USB 3.0/2.0, HDMI 2.0 (4K), an SD card slot, optional 4G/5G and dual-band Wi-Fi via M.2 modules, along with industrial interfaces such as isolated RS-485, CAN, opto-isolated inputs, relay outputs, and an RTC. The system takes a wide 9–24V DC power input, features ESD-protected interfaces, and can be used for AGVs, visual inspection, smart factories, intelligent traffic analysis, medical devices, and small commercial robots. Forlinx FCU3011 specifications: SoM options NVIDIA Jetson Orin Nano

CNX Software - Embedded Systems News
Discover what the NVIDIA Jetson Nano Developer Kit is used for — a compact yet powerful AI computer designed for makers, students, and developers. Learn how it enables affordable experimentation in machine learning, robotics, computer vision, and edge AI applications, making it a favorite tool for building smart robots, training neural networks, and exploring IoT projects.
#NVIDIAJetson #JetsonNano #NVIDIA #EdgeAI
https://www.scientificworldinfo.com/2025/11/what-is-nvidia-jetson-nano-developer-kit.html
What Is the NVIDIA Jetson Nano Developer Kit Used For? Explained

The NVIDIA Jetson Nano Developer Kit is a compact yet powerful AI computer designed for makers, learners, and developers.  With its 128‑core...

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Người dùng cần định dạng bộndef NVIDIA Jetson với hình ảnh chất kém. Đăng post vào cộng đồng Reddit. #NvidiaJetson #RedditAsk #TechSupport #HỗTrợTลง

https://www.reddit.com/r/LocalLLaMA/comments/1ob95ja/identify_this_nvidia_jetson_board/