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Winners have been chosen based on a 15-point rubric that considers solutions’ Design Excellence (5 points), Relative Performance (5 points), and Market Impact/Disruption (5 points).
Lanner's Falcon H8 modular, PCIe FHHL form factor provides a compact and easily deployable solution for engineers looking to offload CPU loading for low-latency deep learning inference.
Intelligent edge computing appliances frequently demand AI (Artificial Intelligence) technology. When it comes to applications that require intelligent video analysis operating at the edge, having access to an AI accelerator card that can offer offload CPU loading and the instant ability to plug into intelligent transport systems (ITS), smart cities, smart retail, and Industry 4.0 applications to improve performance, is ideal for these compute-intensive operations.
Lanner Accredited with ISO 26262 Certification in Commitment of Expanding Edge Compute Platforms to Autonomous Driving - NewsSeptember 28, 2021
Lanner Electronics Inc. announced that it has attained ISO 26262 certification for automotive functional safety and reinforcing its initiative in developing edge compute platforms for autonomous driving systems. Lanner is committed to bringing their AI-accelerated edge computing hardware solutions that are designed to enhance the performance of perception, prediction algorithms for autonomous driving systems.
Lanner Electronics and ADVA announced that Lanner’s NCA-4025 is now verified as an Intel Select Solution for uCPE with ADVA Ensemble Connector, giving communication service providers (CSPs) and enterprises a route to virtualization at the network edge.
In the past few years, electrical substations have become a primary target for cyberattacks. In fact, it is believed that power facilities are targets for modern cyber warfare.
AI & Machine Learning
Advanced AI applications now face fundamental challenges in latency and reliability. Hence, Edge-to-Cloud AI solutions that can be deployed with existing core IT infrastructure have become key AI enablers. Harnessing existing workflows is instrumental to Edge-ready solutions capable of closing complex gaps between core business IT investments, competencies, and next-generation AI opportunities.