Contact
Lanner Electronics, Inc. Partners
United States
Info
Founded1986
Employees500 to 3000
Main Contacts
Maulik Upala AI, IoT and Edge Computing
Branches
  • 47790 Westinghouse Drive
    Fremont, CA
    United States
    94539
    Phone855-852-6637
  • 3160A Orlando Drive
    Mississauga,
    Canada
    ON L4V 1R5
About
Lanner is a world-leading network hardware provider with design, engineering, and manufacturing services for advanced network appliances, edge AI platforms, ruggedized in-vehicle andindustrial computers. Headquartered in Taiwan, Lanner has a large and dynamic manpower of over 1000 well-experienced employees worldwide with strategic locations in Taiwan, North America, Europe, and China. Over the past ten years, Lanner has dedicated itself in supplying millions of state-of-the-art industrial computing platforms that have been deployed worldwide as Intelligent Edge Appliances to perform analysis, connectivity and storage of the data generated within proximity of sensor and devices. Our comprehensive rugged computing platforms have met various specifications and standards required by the mainstream Intelligent Edge verticals. Today, we have comprehensive product lines designed and manufactured for industrial AI, machine vision, transportation, intelligent video analytics, substation automation and OT network security. As we are entering the age of 5G, Lanner’s Intelligent Edge BU will continue to strengthen our product range by designing tailor-made hardware platforms that consolidate the latest technologies in x86 computing, versatile I/Os, rugged design and LTE connectivity, to help accelerate real-time data analysis at the edge, while reducing deployment efforts and costs for intelligent edge solutions.
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Latest Resources
  • https://lannerinc.com/news-and-events/latest-news/lec-2290e-nvidia-ngc-ready-edg...

    Posted4 days AGO

    Lanner announced the release of the LEC-2290E, a GPU intelligent edge computing appliance with NVIDIA® T4 GPU support. The LEC-2290E, a variant of the LEC-2290, is a robust box PC powered by the Intel® Core™ i7-8700 (Codenamed Coffee Lake S) processor.

    The LEC-2290E in particular is a validated NGC-ready server for Edge computing. When configured with NVIDIA® T4 GPUs, the LEC-2290E’s functionality, performance and ease of deployment can be trusted to have been thoroughly tested and attested for AI frameworks and virtualized, disaggregated 5G ready network architecture.

    Read More
  • https://lannerinc.com/news-and-events/eagle-lanner-tech-blog/boosting-industrial...

    Posted4 days AGO

    Automation and data exchange are no longer optional industrial innovations. If an industrial organization wants to thrive, they need to reconsider their old Industry 3.0 habits.

    It was around the 1990s that Machine Vision (MV) started to become a practical reality in the industry, especially within manufacturing environments. The advancements in other indirect technologies, from enhanced lighting, intelligent imaging systems, sensing, control, and especially computing, have helped MV systems transform into a practical reality.

    Today, MV has evolved so much that it is considered the eye of industrial automation. Its imaging-based automated decision-making capabilities can benefit any industry, especially manufacturing with automatic visual inspection and quality control processes. But MV can also help in other environments such as strengthening surveillance and security, guiding collaborative robots, or even driving vehicles.

    Read More
  • https://www.lanner-america.com/blog/lec-7242-making-edge-computing-available-in-...

    PostedFriday, November 5,2021 at 5:25 PM

    In order to build the largest edge cloud network in rural environments, network-as-a-service providers utilize edge computing and wireless technology to bring the capabilities and advantages of the cloud with IoT and AI to the remote and hard-to-reach rural areas. Such ambitious undertaking demanded open, scalable, and programmable network and edge gateways as these edge compute platforms may be deployed in SDN/NFV, AIoT/IIoT (Artificial Intelligence of Things / Industrial Internet of Things) and separate 5G infrastructure.

    Various elements are involved when trying to deliver edge computing at remote areas and they are as followed:

    Data collection via connected IoT or IIoT devices
    Preliminary real-time data analysis via an IoT gateway
    Secondary real-time data analysis (AI or MV) via an edge computer
    Latency-free network transmission to private/public clouds

    Read More
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