Low-latency Edge AI Solution for Retail, Manufacturing and Smart Cities

The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our networks. Harnessing existing IT workflows is instrumental to edge-ready solutions capable of closing complex gaps between core business IT investments, competencies and upcoming AI opportunities.

The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our networks. Harnessing existing IT workflows is instrumental to edge-ready solutions capable of closing complex gaps between core business IT investments, competencies and upcoming AI opportunities.

Designed and built in-house by Lanner for secure remote operation and accelerated workloads with the Tesla T4 Tensor core GPU, the LEC-2290E is validated and edge-ready out-of-the-box for streamlined NGC deployments. NVIDIA GPU CLOUD (NGC) fast-tracks edge AI solutions with its comprehensive catalog of containerized software GPU-optimized for edge-to-core solutions.

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GPU Accelerated Edge AI

NVIDIA T4 enterprise GPUs supercharge the world’s most trusted mainstream servers. Its low-profile, 70-watt (W) design is powered by NVIDIA Turing™ Tensor Cores, delivering revolutionary multi-precision performance to accelerate a wide range of modern applications, including machine learning, deep learning, and virtual desktops.

Small-form-factor, 70-watt (W) GPU design

NVIDIA T4 optimized for scale-out servers, providing an incredible 50X higher energy efficiency compared to CPUs, drastically reducing operational costs. In the last two years, NVIDIA’s inference platform has increased efficiency by over 10X, and it remains the most energy-efficient solution for distributed AI training and inference.

Data center class edge GPU

The T4 is an ideal universal accelerator for distributed edge computing environments. Revolutionary multi-precision performance accelerates deep learning and machine learning training and inference, video transcoding, and virtual desktops. NVIDIA T4 supports all AI frameworks and network types, delivering dramatic performance and efficiency that maximize the utility of at-scale deployments.

Built-in hardware security and manageability

Hardware security is a major concern in edge deployment scenarios, with hardware-enhanced security being the gold-standard for professional-grade edge solutions. The LEC-2290E uses an Intel® Core™ i7 or Xeon® CPU, bringing numerous security enhancing and accelerating features. On-board TPM 2.0 for security and IPMI module for Manageability.

The LEC-2290, an intelligent edge computing box PC, comes with support for Intel® Core™ i7-8700T/i7-8700 CPU (codenamed Coffee Lake S). This IPC features 2x DDR4 2133/2400 SO-DIMM (Max. 32GB), 2x RJ45 GbE LAN, 4x PoE, 4x USB3.0, 6x COM ports, 8x DI & 8x DO, 2x removable HDD/SSD external slots w/ RAID, 1x mSATA, 1x PCIe x16, 1x Mini PCIe w/ Nano-SIM and 1x B Key M.2 w/ Nano-SIM.

Intelligent Platform Management Interface (IPMI)

IPMI offers system administrators to manage and monitor computing platforms with standardized interface and protocol. Due to its messaging and hardware-based nature, IPMI works independently from the operating system, so that system administrators are able to remotely manage and monitor computing platform status.

Trusted Platform Module (TPM)

The TPM is a secure crypto-processor that assist with functions such as generating, storing and limiting the use of cryptographic keys. Keys generated by this crypto-processor provide tamper resistance at the hardware-level.

Targeted Application Segments: Retail, Manufacturing, Smart Cities

From 2020-2025 AI is expected to grow by 25 billion in retail, manufacturing, and smart cities, with the demand for better, faster AI edge processing at its highest point. Below are examples of how an NGC- ready system can be utilized within these industries to bring cost-effective optimizations and valuable insights for today.

Intelligent Retail

With AI-enabled intelligent stores, retailers are reducing shrinkage, eliminating stockout, and gaining visibility into in-store customer behavior to optimize merchandising. These stores leverage data from cameras and sensors to provide valuable analytics that

enable smart decision-making, improve operations, and increase efficiency. Additionally, the same infrastructure can be used for a faster customer checkout experience, including fully automated checkout systems.

Efficient Manufacturing

The flexibility of automation and fast-paced technologies like 3D printing and ecommerce have greatly increased capabilities & diversity, along with overall complexity for

manufacturers. To meet these demands manufacturers are relying on powerful AI to increase efficiency and improve logistics. Cutting edge AI implementations have enabled

some of the largest manufacturers to manage the immense influx of millions of parts around the world every day. Machine vision driven robotics have optimized manufacturing of increasingly intricate and personalized products.

Smart Cities

Populous cities are deploying powerful autonomous AI solutions to reduce expenditure and increase revenue streams. Problems like vehicle-tax collection on such scales require machine vision AI solutions that can handle traffic monitoring and vehicle/license plate recognition. Rising public safety concerns with the ongoing pandemic have accelerated the creation and real world deployment of crowd and safety equipment detection solutions.

Featured Product


LEC-2290

Intelligent Edge Computing Box PC w/ Support for Intel® Core™ i7-8700T/i7-8700

CPU Support Intel® Core™ i7-8700T/i7-8700 Core i (FCLGA1152), Codenamed Coffee Lake S
Chipset FH82C246

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Low-latency Edge AI Solution for Retail, Manufacturing and Smart Cities was last modified: April 30th, 2021 by Fernando Contreras