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News from InoNet Computer GmbH

Computer for HiL Testing in ADAS Development

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InoNet launches HiL computer for simulations in vehicle development. Conventional ADAS development, based on extensive data acquisition in the vehicle, is both costly and time-consuming. As vehicle development becomes more complex, these methods are reaching their limits. Moving to a HiL strategy enables realistic simulation in a controlled environment. HiL (Hardware-in-the-Loop) is a testing method that integrates real hardware components into a simulated environment to test their behaviour under realistic conditions. This approach leads to significant time and cost savings while increasing the efficiency and accuracy of ADAS development. InoNet supports this change with customised HiL computers. The InoHiL platforms offer special advantages. They are individually configurable and scalable in terms of performance and communication interfaces (GPU, CAN-FD, LIN FlexRay) and can thus be adapted to the requirements of the respective application. The systems are compatible with real-time operating systems and existing software, allowing easy integration into existing test environments. This means that test data can be quickly uploaded, tagged and processed. In addition, an experienced engineering team is available to provide support throughout the development process. The InoHiL product line ranges from the configurable entry-level system InoHiL®-II to the more powerful computer InoHiL®-II-Q with QuickTray-v3 for encrypted data processing and the high-performance computer InoHiL®-B17QW. With server CPUs, liquid cooling and multi-GPU performance, the latter is ideal for intensive signal processing and complex modelling calculations. With seven PCIe x16 slots, it also offers a high degree of flexibility for different applications.

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NVIDIA Jetson Orin Edge-AI Computer

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As the global AI market continues its rapid expansion across various industries, Eurotech is leading the way with the introduction of its latest Edge AI systems with NVIDIA Jetson Orin, the ReliaCOR 31-11 and ReliaCOR 33-11. The development focuses on the challenges associated with introducing AI and ensuring cybersecurity. The platforms offer an innovative and user-friendly solution that simplifies the secure deployment of AI at the edge.

Organisations across various sectors still struggle to transition to AI: AI projects from pilot to production phases, experiencing delays of over seven months and 47% failure rates, these numbers were recently reported also by HBR. The ReliaCOR 31-11 and 33-11 Edge AI systems make this transition seamless by enabling validation, deployment at scale, and lifecycle management of multiple AI models simultaneously. This capability is essential for enhancing operational efficiencies and accelerating time-to-market.

Cybersecurity is critical as national and international regulators impose increasingly stringent standards for critical infrastructure and companies need to protect themselves from increasing cyberattacks. The ReliaCOR devices are secure-by-design and, at release, certified according to ISA Secure / IEC 62443-4-1/-4-2.

The ReliaCOR 31-11 is powered by NVIDIA Jetson Orin NX with up to 16GB RAM. This means it can deliver up to 100 TOPS in a fanless and compact design. The availability of 4x GbE ports, with optional Power over Ethernet (PoE), simplifies cabling for multi-camera connections, making it ideal forintensive applications such as automatic product sorting and anomaly detection.

The ReliaCOR 33-11 elevates these capabilities with NVIDIA Jetson AGX Orin, offering up to 64GB RAM and reaching 275 TOPS of AI compute in a fanless configuration. Certified with E-mark for automotive use, it supports multiple high-speed camera connections for up to 4x PoE cameras and up to 8x LAN cameras, eliminating the need and cost for a dedicated Ethernet switch.

Certified wireless and cellular connectivity is another standout feature of the ReliaCOR 31-11 and ReliaCOR 33-11. Both devices offer optional integrated Wi-Fi, Bluetooth, and cellular connections. This versatility ensures that the hardware can be deployed in a variety of settings, from remote locations requiring cellular connectivity, to factory floors where Wi-Fi/BT is prevalent. Thanks to intuitive remote device management and zero-touch provisioning (ZTP), AIoT implementations can be easily and securely controlled and connected to the cloud (edge-to-cloud framework), e.g. AWS IoT GreenGrass or AWS IoT Core.

Samples are available upon request – series production will follow later this year.

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Discover our new GenAI portfolio

Product launch: Generative AI Server portfolio for on-premise LLMs

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We are pleased to announce the launch of a new portfolio of Generative AI Servers designed specifically for the use of on-premise Large Language Models (LLMs). These servers offer companies the opportunity to securely use the power of generative AI directly on-premise without transferring sensitive data to the cloud.

InoNet offers a wide range of GenAI servers equipped with state-of-the-art hardware for optimal performance and efficiency.

Benefit from the advantages of our on-premise LLM solutions, such as increased data security, NVIDIA® AI compatibility and adaptability to your specific applications. Embrace the future of generative AI in your company.

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ADAS & AD testing: from compact AI servers to multi PCIe data loggers

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InoNet announces its portfolio expansion from compact AI server to the innovative multi-PCIe data logger, specifically designed for ADAS & AD testing in vehicle development.

In addition to a compact AI server with Intel® Core™ i CPUs up to the 14th generation, InoNet presents its new multi-PCIe data logger Mayflower®-Q12-aW, engineered to meet the requirements of vehicle development and facilitate the advancement towards Level 5 autonomous driving.

The new data logger offers outstanding performance and flexibility for complex data acquisition and processing. Equipped with state-of-the-art technology, the system sets new industry standards:

  • Multi-GPU support: Maximizes computing performance for parallel testing and AI applications
  • AMD® EPYC™ 9004/97×4 processor: Provides powerful next-generation processing capabilities
  • Up to 12 PCIe slots: Offers extensive expansion options to meet individual requirements
  • InoNet QuickTray®-v3 with data encryption: Supports up to 3x QuickTray®-v3 for data transfer rates of up to 28 GByte/s
  • Hybrid liquid cooling: Ensures optimal temperatures and cost-effective performance by eliminating the need for additional systems or extenders, efficiently cooling PCIe cards

With this innovative solution, InoNet addresses the growing challenges in testing applications for ADAS (Advanced Driver Assistance Systems) and AD (Autonomous Driving) up to Level 5, where substantial volumes of data need to be captured and analysed in near real-time.  Mayflower®-Q12-aW is designed to enable developers to efficiently process large datasets securely in encrypted form, thus accelerating the development and validation of driver assistance systems.

The new data logger has been presented for the first time in a live demo at the ADAS & Autonomous Vehicle Technology Expo in Stuttgart, Germany, from June 4 to 6, 2024 at booth 6326.

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ADAS & Autonomous Vehicle Technology Expo 2024

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We are pleased to announce our participation with Eurotech at the upcoming ADAS & Autonomous Vehicle Technology Expo, where innovation in vehicle development meets cutting-edge computing technologies!

Visit us in hall 6, booth 6326 and learn more about our extended product portfolio – from encrypted data acquisition, data storage and data upload to HiL computers for data analysis and simulation. In our interactive live demo, we will show you how our new products perfectly complement our existing portfolio to support you in testing your ADAS applications from start to finish.

Don’t miss the opportunity to talk to our experts and get to know our extended portfolio that will simplify your ADAS testing. Get your free ticket now:

free ticket

TUM wins A2RL with Mayflower®-B17-LiQuid

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Congratulations to the Autonomous Motorsport Team of the Technical University of Munich (TUM) for their impressive victory in the Abu Dhabi Autonomous Racing League!

The key component of their triumph was the autonomous software that led the TUM vehicle to victory. This software has been tested in a HiL simulation using our innovative Mayflower®-B17 LiQuid. With its powerful CPU and GPU performance, this platform enabled continuous and repeated execution of a variety of scenarios, including GPS failures, extreme heat, and other challenges in an environment with variable parameters. In addition, our system accelerated the development of the autonomous software by up to three times, giving the TUM team a decisive competitive advantage.

Through these extensive tests, even minimal delays of just a few milliseconds could be optimized to ensure a faster and more precise vehicle response. In addition, our QuickTray®-v3 with hot-plug capability makes it easy to evaluate simulation results after testing is complete.

We are proud to be a part of this success and congratulate the TUM Autonomous Motorsport Team on their remarkable achievement.

 

Learn more about the use of our Mayflower-B17-LiQuid as a HiL computer in our new case study: Case Study – HiL application in the ADAS industry

Best in Show Award of Embedded Computing Design

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We are very pleased to announce that InoNet together with Eurotech has won the Best in Show Award of Embedded Computing Design in the category Artificial Intelligence/Machine Learning. The award honored our innovative edge AI platform ReliaCOR 44-11, which combines high-performance computing, integrated security and user-friendliness. Visit our booth 1-553 to find out more and see the award-winning product live in action.

 

 

 

Embedded World 2024

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Embedded World will once again take place in Nuremberg from April 9 to 11, 2024.

What to expect?

See a live demo of how our secure edge AI platform enables visual inspection through the deep integration of frame grabbing techniques, Eurotech’s IoT Edge Framework (ESF) and the NVIDIA Triton Inference Engine.

Meet our experts!

Meet our experts at booth #1-553 and let them advise you on site about your customized computing solution.

Ready to be part of it?

Get your free ticket now:

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Everyware GreenEdge software in the AWS Marketplace: a simple, innovative and secure way to get started with AWS IoT services.

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Eurotech, a provider of Edge Artificial Intelligence of Things (AIoT) technologies and our parent company, is proud to introduce Everyware GreenEdge – a software solution designed to address the typical challenges of integrating and managing Edge Internet of Things (IoT) devices on a large scale. These challenges include time-consuming errors, security vulnerabilities, inconsistent data and uncontrollable IoT devices with insecure credentials.

With Everyware GreenEdge, customers can easily register edge devices with just a few clicks and connect to Amazon Web Services (AWS), unlocking access to the full range of AWS services, including AWS IoT Analytics.

 

“We are very proud to bring our integrated portfolio to the AWS Marketplace, combining our 30 years of edge expertise with the comprehensive IoT portfolio and global reach of AWS,” says Paul Chawla, CEO of Eurotech. “Everyware GreenEdge confirms Eurotech’s commitment to Unleash the Power of the Edge by staying true to our business principles and providing simple, agnostic and secure solutions. “Everyware GreenEdge is more than just a product, it empowers our customers to achieve their digital goals with confidence and speed.”

 

Everyware GreenEdge combines the features of AWS IoT Greengrass and Eurotech’s Everyware Software Framework (ESF) and utilizes the capabilities of Eurotech’s Everyware Cloud (EC) for remote device management. A key feature of this solution is Eurotech’s innovative zero-touch provisioning (ZTP). With ZTP, the required certificates are automatically downloaded and the pre-configured installation starts as soon as the device is connected, reducing the once error-prone and time-consuming process from several hours to just a few minutes and requiring minimal knowledge from the installer.

In addition, Everyware GreenEdge’s user interface covers everything from hardware integration to communication with various devices and sensors, enabling both support for field protocols and access to AWS services to create comprehensive applications. The configuration is intuitive thanks to simplified management tools, so that no extensive coding is required and the set-up process runs smoothly.

In addition to the technical benefits, Everyware GreenEdge offers a unified billing system for all software and service costs in the Amazon Marketplace. This simplifies the procurement process and makes it easier for customers to access and manage the solution, while benefiting from the reliable billing infrastructure of AWS.

Everyware GreenEdge is offered for the entire Eurotech Edge portfolio, starting with ReliaGATE 10-14. This makes it the first gateway in the industry to be equipped with a solution that has been developed with security in mind and is certified in accordance with the PSA Level 1, ISA/IEC 62443-4-2 standards.

With Everyware GreenEdge, this device becomes an all-in-one solution that provides seamless access to AWS configuration, accelerates deployment and ensures industry-standard security and data integrity.

Everyware GreenEdge is currently available as a preview.

Companies interested in testing Everyware GreenEdge in the final beta phase are invited to contact Eurotech directly.

 

Further information can be found at: https://www.eurotech.com/everyware-greenedge/

About Eurotech

 

Eurotech (ETH.MI) is a multinational company that designs, develops and delivers edge computers and solutions for the Internet of Things (IoT) along with services, software and hardware to system integrators and enterprises. With Eurotech’s solutions, customers have access to IoT building blocks and software platforms, edge gateways for monitoring systems and high-performance edge computers (HPEC), which have also been developed for artificial intelligence (AI) applications. In order to offer ever more comprehensive solutions and develop best-in-class solutions for the Industrial Internet of Things, Eurotech has entered into partnerships with leading companies in its field of activity.

Find out more

Press release: InoNet & Canonical cooperate for a smooth deployment of Edge AI

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InoNet has entered into a strategic partnership with Canonical, the publisher of Ubuntu. Together, they offer a robust platform for IoT use with modern Ubuntu-certified computers. The partnership combines InoNet’s hardware with Canonical’s hardware certification program, ensuring rigorous standards for reliability, software compatibility and ongoing maintenance. As part of this program, certified hardware has access to ongoing support and critical security updates, giving customers peace of mind that their systems remain secure and operational.

At the heart of the collaboration is the InoNet Concepion®-tXf-L-v3, powered by Intel® processors for reliability and performance. Thanks to Canonical’s hardware certification, supported by extensive testing, the compatibility of the device is guaranteed beyond the initial validation for future updates. This means that when minor Ubuntu updates and patches are released, there is less chance that the pre-certified hardware will cause problems or require major customizations to work with these updates. Users can therefore be sure that their software stacks work exactly as specified by Ubuntu. In addition, the integration of hardware drivers into the Ubuntu kernel simplifies use and improves compatibility with future kernel updates.

“InoNet’s collaboration with Canonical is a milestone in our commitment to provide high quality products to our customers. With access to reliable, powerful and Ubuntu-certified hardware, they can smoothly and efficiently use edge computing technologies to optimize their business processes, up to comprehensive AI applications. Ubuntu-certified hardware, backed by software compatibility, long-term support and security updates, ensures a level of reliability that sets important industry standards. This collaboration not only minimizes integration risks for our customers, but also accelerates time to market. I am pleased that together we can enable Edge AI applications that pave the way to a smarter, safer and more sustainable future,” says Ralph Ostertag, CEO, InoNet.

The combination of Ubuntu and the Concepion®-tXf-L-v3 provides an adaptable platform for IoT solutions on edge servers, IPCs and edge AI systems. Certified for reliability and performance, the collaboration between InoNet and Canonical not only improves these product features, but also optimizes processes, reduces risks and accelerates time-to-market in various industries.

“The Ubuntu Certified program enables us to offer secure and fully supported IoT solutions across the entire stack. We are delighted that InoNet has joined the Ubuntu ecosystem. With this partnership, we can offer the best possible Linux experience out-of-the-box, with long-term support for security and reliability. We look forward to more innovative Edge AI applications for InoNet customers,” said Joe Dulin, VP of Devices Sales at Canonical.

Visit us at SPS in Nuremberg from November 14th to 16th, 2023 at our booth 251J in hall 6 and discover our broad product portfolio of secure edge hardware and software solutions. Learn more about Edge AI and cyber security from our experts. Or find our hardware at Canonical’s booth 420 in hall 6 to learn more about using Ubuntu as the operating system for your device to ensure reliability and security.

About Canonical:

Canonical, the publisher of Ubuntu, provides open source security, support and services. Our portfolio covers critical systems, from the smallest devices to the largest clouds, from kernels to containers, from databases to AI. With customers including leading technology companies, emerging start-ups, governments and consumers, Canonical provides trusted open source solutions for everyone.

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