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June 4, 2026 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

NVIDIA Jetson gets fanless solid-state cooling module

NVIDIA Jeson Orin Nano Module cooled by ionic wind DBD Plasma solution

YPlasma has showcased its ultrathin solid-state cooling module based on dielectric barrier discharge (DBD) plasma actuators on NVIDIA Jetson Orin Nano at Computex 2026. Ultrathin solid-state cooling solutions replacing thicker and noisier mechanical fans have been demonstrated on consumer hardware in the past, with solutions such as xMEMS µCooling fan-on-a-chip for SSDs and Frore Systems Airjet Mini and Airjet Pro used in laptops and mini PCs. Both solutions generate tiny vibrations to create an airflow, but YPlasma’s DBD plasma cooling module generates ionic wind to cool the device. This forces convection without moving parts, audible noise, vibration, or dust ingestion paths. We’ll explain more about the technology below. The company validated the following on the NVIDIA Jetson Orin Nano: Thermal range – 7 W to 25 W, the full operating range of the Jetson Orin Nano family, including Super Mode (25W), with a steady state reached in 10 minutes. Form […]

June 2, 2026June 1, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

Sharpa Wave is a high-end dexterous robotic hand with 22 DoF, high-sensitivity dynamic tactile array

NVIDIA just announced the Isaac GR00T Reference Humanoid Robot in a half-baked press release for Computex 2026, with an “available-soon reference workflow” and availability sometime by the end of the year with the Unitree H2 humanoid chassis. One component of the kit that appears to be available now, albeit in limited quantity, is the Sharpa Wave high-end dexterous robotic hand with 22 degrees of freedom (DoF) and a dynamic tactile array (DTA) on each finger, enabling it to feel objects as lightweight as a butterfly. Sharpa Wave robotic hand highlights: 1:1 scale human form – The palm width to hand length ratio is approximately 0.618, enabling the Wave to manipulate the same tools as humans. 22 active Degrees of Freedom – Isomorphic design mirroring the human hand Dynamic Tactile Array (DTA) powered by a proprietary neural network-based algorithm and sensing modules to enable detection of tight objects (like a butterfly) […]

May 25, 2026 by Jean-Luc Aufranc (CNXSoft) - No Comments

Khadas Mind Graphics 2 review – A powerful NVIDIA Geforce RTX 5060 Ti eGPU dock for the Mind 2 mini PC

Earlier this month, I received the Khadas Mind 2 (Intel Core Ultra 7 155H) mini PC with two accessories connecting through the Mind Link (PCIe x8) connector: The Mind xPlay Display and Keyboard combo, and the Mind Graphics 2 dock, adding a range of interfaces and an NVIDIA GeForce RTX 5060 Ti GPU with 16GB of VRAM. After going through the specifications, an unboxing, and a partial teardown in the first part of the review, I tested the Mind xPlay using the Mind and Mind 2 mini PCs running Windows 11 and Ubuntu 24.04. I’ve now had time to test the Khadas Mind Graphics 2 dock with the Mind 2 mini PC running Windows 11, so I’ll report my experience with the NVIDIA GPU (3D graphics and AI), and test all features, including 2.5GbE networking, the built-in speakers, microphone array, and so on. A few gremlins and system info When […]

April 30, 2026April 30, 2026 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

NVIDIA phases out several Jetson modules due to high LPDDR4 RAM prices and tight supplies

Following the well-advertised Raspberry Pi 4/5 price hikes, we’ve just written an article about some SBCs quadrupling in price since 2024 due to RAM price increases, and another victim appears to be NVIDIA Jetson modules relying on LPDDR4 memory. That’s according to a lifecycle update by Connect Tech that claims that “due to changes in global DRAM market dynamics, NVIDIA has indicated that supply and pricing for LPDDR4-based modules have become increasingly constrained. As a result, NVIDIA is accelerating End-of-Life (EOL) timelines for” specific modules. Four families are impacted: NVIDIA Jetson TX2 NX (4GB and 8GB) NVIDIA Jetson TX2i (all SKUs) NVIDIA Jetson AGX Xavier (32GB and Industrial) NVIDIA Jetson Xavier NX All these modules were released in 2021 or before. The end-of-life timeline is as follows: Now – All new purchase orders for products integrating TX2 NX, TX2i, AGX Xavier, and Xavier NX modules are Non-Cancelable, Non-Returnable (NCNR) July […]

April 28, 2026 by Jean-Luc Aufranc (CNXSoft) - 21 Comments

What a difference two years make? Comparing SBC prices in 2024 and 2026

Looking back, 2024 feels like a golden year for single board computers, as the increasing price of RAM (and storage and other components) since late 2025 due to the AI demand has made those much less attractive, price/performance ratio-wise. We’ve already documented Raspberry Pi SBC price hikes, and after several increases, the Raspberry Pi 5 16GB went from $120 to $305, or a 154% change in price. Yesterday, I noticed the Banana Pi BPI-M4 Zero had a new version with 4GB RAM and 32GB eMMC flash, and a reader was quick to point out the $181 price tag to Europe was painful, bearing in mind it also includes VAT and shipping. Looking at the original December 2023 article, the BPI-M4 Zero 2GB/8GB sold for $28.90 plus shipping, and it now shows up at $115 before taxes. That’s a 297% hike, or about four times the price from a little over […]

March 30, 2026March 30, 2026 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

Select the right hardware for your local LLM deployment with this online guide

When it comes to deploying local LLMs, many people may think that spending more money will deliver more performance, but it’s far from reality. That’s why Sipeed created the “AI Agent Local LLM Inference Device Deployment Guide” hosted on the llmdev.guide website. The website lists common hardware with price, performance (tokens/s), power consumption, and more for various LLMs. If we take Qwen3.5 9B as an example, we can see that $4K+ hardware like NVIDIA DGX Spark or Apple Mac Studio M3 delivers about the same TPS as a machine equipped with a $260 Intel Arc B580 12GB GPU. If money is no object and you’d like the best performance, the NVIDIA GTX 5090 32GB makes the most sense. I reckon the price comparison is imperfect because some data points reflect the price of a complete system, while others only list the price of a graphics card. However, for Qwen 122B-A10B, […]

March 17, 2026 by Debashis Das - No Comments

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

Adlink DLAP 701 Edge AI Platform Powered by NVIDIA Jetson Thor

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 […]

January 27, 2026January 28, 2026 by Debashis Das - No Comments

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

Lanner EAI I351 Jetson Thor Edge AI computer with QSFP28 port

Lanner EAI-I351 is a rugged edge AI computer built around the NVIDIA Jetson Thor platform, featuring a 100GbE QSFP28 port for high-bandwidth networking and 8x GMSL2 camera inputs for 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 […]