Intelligent Edge System Delivers High Performance to the Edge

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As connected devices grow exponentially in numbers, processing at the local Edge is becoming critical to managing and processing large amounts of generated data to support demanding applications. Entire neighborhoods and cities are being wired with devices and sensors that monitor activities and can lead to more efficient factories or safer and more environmentally friendly cities.

Edge systems are showing up everywhere - data collection and processing are moving away from large centralized installations like enterprise data centers. The systems are highly configurable, power-optimized, and allow expansion with the necessary accelerator technology to enable AI/ML applications at the Edge.

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Supermicro Accelerating Adoption of Edge AI

Edge AI has emerged as a critical concept, particularly in industries where real-time data processing is paramount.

White Paper

 

Distributed Cloud Computing Solutions Empower Efficient Retail, Industrial, and Smart Cities Operations

 

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Intelligent Retail

  • Improving customer experience using AI, augmented/virtual reality, digital signage, kiosks, and analytics
  • Providing disruptive AI-based solutions to help retailers and restaurants navigate technological and societal challenges
  • Enabling diverse use cases with an Edge architecture that supports many workloads on a single platform
  • Support for highly secure, Zero Trust, high availability systems to provide complete, optimized solutions – ensuring 100% uptime
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Industry 4.0

  • Solutions for device connectivity and intelligence at the Edge, enabling streamlined operation and increased automation
  • Supporting AI- and computer vision-based controls to improve quality, worker safety, and increased revenue
  • Supporting real-time programmable logic control (PLC) capabilities in a highly secure software-defined environment
  • Reliable operation of a wide range of optimized compute architectures in extreme environments for AI at the Edge
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Smart Cities and Spaces

  • Edge computing distributed across multiple locations supporting transportation, security, venues, cities, and buildings
  • Solutions to improve community safety and quality of experience (QoE) with innovative connected applications
  • AI inferencing and visual computing in Outdoor Edge locations, enabling intelligent surveillance and accurate incident reporting for faster response times
  • Supporting V2X for parking, traffic, and pedestrian safety, autonomous vehicle support, and public transportation improvements
 

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The Two Halves of Edge AI 

The deployment of AI at the Edge can be for two distinct yet complementary purposes: predictive and generative AI. Predictive AI is the analytical powerhouse, leveraging historical data to forecast future events. Generative AI, conversely, is a creative catalyst that uses underlying data patterns to synthesize new information, driving innovation and personalized experience.


Edge & IoT System: Optimized for Remote Environments, Edge and Telecom applications

 

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Mini-1U Embedded System with Intel Alder Lake CPU up to 65W TDP Super Server
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Intel Xeon Processor, 20-Core, 800W redundant Platinum Level PWS, 1U edge platform
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Ruggedized ultra-compact fanless server with Intel® Core™ i5-1145GRE Processor
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Ruggedized compact fanless industrial PC with Intel® Core™ Core™ i5-8365UE Processor
 
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Configurable wall-mount Edge server with 3rd Gen Intel® Xeon® Scalable processor
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Ultra short-depth rackmount Edge server with 3rd Gen Intel® Xeon® Scalable processor
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Highly-configurable 2U Edge server with dual 3rd Gen Intel® Xeon® Scalable processors
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Front-IO Rackmount 2U 3-Node Server with 3rd Gen Intel® Xeon® Scalable Processor