Thursday, December 19, 2024

ASUS IoT PE Series Edge AI Computer with 14th Gen Intel Core

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The latest updates to the PE series for AI computing at the edge were announced today by ASUS IoT, the global provider of AIoT solutions. The PE series now features up to 14th Gen Intel Core i9, 65-watt CPUs and support for dual high-performance graphics cards of up to 450 W each. With the upgraded PE8000G, PE6000G, PE4000G, PE5101D, and PE5100D models in the portfolio, industry players may now choose from a wide range of edge AI systems for a variety of scenarios and applications.

The most widely used edge silicon is the brand-new 14th generation Intel Core processors, which provide a variety of power and performance choices for high-resolution graphics and machine vision. The most recent version has a socketed SoC for maximum build-to-order assembly flexibility, enabling faster deployment of edge infrastructure with low latency, high throughput, on-premise computation, and data production and consumption.

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Utilising 14th generation Intel Core CPUs, enhanced edge AI

With up to 24 cores eight Performance cores (P-cores), sixteen Efficiency cores (E-cores), and up to 32 threads the 14th generation Intel Core processors offer improved performance with a hybrid architecture that can handle demanding multitasking workloads. These processors are perfect for edge AI, smart city, transportation, machine vision, and smart factory applications. Uncompromising computing and energy efficiency are provided by 14th Gen Intel Core processors, which are compatible with motherboards that use the Intel R680E chipset.

The new processors now enable dual DDR5-5600 SO-DIMM memory modules up to 64 GB, which can increase transfer speeds by up to 50% and improve power efficiency by up to 8%. ECC technology is also integrated with these memory modules for superior reliability.

Up to two high-performance PCIe x16 450 W GPU cards can be supported by the flagship PE8000G edge AI computer, allowing for redundancy, effective high-throughput computing, smooth real-time AI inferencing, and accelerated computing at the edge. Furthermore, a broad 8-48 V DC-input range is accepted by the PE8000G, PE6000G, PE4000G, PE5101D, and PE5100D models. These models also have integrated ignition power control and monitoring, providing flexible power options in a variety of deployment scenarios.

Designed with eyesight and perception in mind

Based on the demands of customers’ computing capabilities, ASUS IoT specialises in edge AI computer design and domain knowledge applications. The PE8000G is designed for use in harsh conditions, including autonomous driving, roadside units (RSUs), AI inferencing, and training. It supports two 450 W GPUs. The PE6000G is designed for high-throughput intelligent video analytics (IVA) and supports a single 450 W GPU.

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middle/last-mile delivery and inference. PE4000G is appropriate for machine vision, factory automation, and law enforcement, and it supports a 200 W GPU. Last but not least, the PE5101D and PE5100D are rugged edge PCs that are ready to handle intelligent transportation solutions as well as retail kiosk, ATM, and vending machine applications. They offer two 2.5-inch hot-swappable HDD trays and RAID 0/1 for simple expansion and maintenance.

ASUS IoT remains in the forefront of artificial intelligence and edge computing, providing cutting-edge solutions that cater to the expanding needs of many industries. The PE Series Edge AI Computers, which are now improved with support for 14th Gen Intel Core processors, are the newest addition to their remarkable lineup. This new series, which offers previously unheard-of performance, flexibility, and dependability, is poised to completely transform how enterprises and developers use AI at the edge.

Overview of the ASUS IoT PE Series

A family of edge AI computers called the ASUS IoT PE Series is intended to offer strong, real-time processing capabilities at the edge of the network. Because they are intended for AI inference and machine learning, these devices are ideal for smart manufacturing, retail, transportation, and healthcare. With 14th Gen Intel Core processors, the PE Series delivers top-notch AI job execution and decision-making.
Important attributes and advantages

Intel Core 14th Generation Processor Support

The newest selection of 14th Gen Intel Core processors forms the foundation of the PE Series Edge AI Computers. These processors are ideal for edge computing applications because they provide notable gains in processing power, energy efficiency, and AI acceleration. Faster AI inference is made possible by the combination of Intel’s Xeon-class architecture with Intel Deep Learning Boost (DL Boost), which permits real-time data processing and edge decision-making.

Enhanced Artificial Intelligence Capabilities

Because the PE Series supports Intel OpenVINO and Intel Distribution of Python, it is built to fully utilise AI. These solutions speed up AI product launch and improve deep learning model deployment by optimising AI workloads. The devices support Tensor Flow, PyTorch, and Caffe, so developers can use chosen tools.

Sturdy and Dependable Design

PE Series Edge AI Computers are designed for tough settings. Strong, fanless construction offers consistent performance from -20°C to 60°C. These gadgets can be used outdoors and in factories due to their durability and vibration and dust protection.

A Wide Range of Connectivity Choices

The PE Series provides a wide range of connectivity choices to guarantee a smooth integration with the current infrastructure. These devices link to sensors, cameras, and other devices via USB, HDMI, DisplayPort, and RS-232/RS-485. 5G and Wi-Fi 6 offer low-latency connections for real-time AI.

Small and Expandable Remedies

The PE Series‘ small size makes it simple to install in areas with limited space. These devices provide scalable performance despite their compact size, enabling enterprises to grow their AI capabilities as needed. The PE Series gives you the freedom to expand with your company, whether you need to use a single unit or a fleet of edge devices.

PE Series Edge AI Computer Applications

The PE Series’ adaptability makes it appropriate for a broad range of applications in a variety of industries:

Intelligent Production

Manufacturers use the PE Series for real-time production line monitoring, anomaly detection, and equipment failure prediction. These gadgets’ AI improves processes, downtime, and productivity for manufacturing.

Smart Cities and Retail

The PE Series provides strong tools for inventory management, security, and customer behaviour analysis to the retail sector. Smart city applications for surveillance, traffic control, and environmental monitoring can increase municipal sustainability and efficiency with these devices.

Medical Care

The PE Series can facilitate telemedicine, patient monitoring, and AI-driven diagnostics in the healthcare industry. These gadgets’ real-time processing powers enable speedier and more precise decision-making, which enhances patient outcomes and streamlines the provision of healthcare.

Travel

The PE Series has applications in the transportation sector that can help, including fleet management, predictive maintenance, and driverless cars. These gadgets’ AI powers make transportation systems wiser, safer, and more effective.

Concluding Remarks: ASUS IoT PE Series and Edge AI’s Future

An important advancement in the development of edge computing has been made with the release of the ASUS IoT PE Series Edge AI Computers. These devices, which include 14th Gen Intel Core processors, are perfect for a variety of applications since they provide unmatched performance, sophisticated AI capabilities, and a sturdy construction. With industries continuing to adopt edge computing and artificial intelligence, the PE Series offers a high-performance, scalable, and dependable solution to tackle the problems of the future.

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Drakshi
Drakshi
Since June 2023, Drakshi has been writing articles of Artificial Intelligence for govindhtech. She was a postgraduate in business administration. She was an enthusiast of Artificial Intelligence.
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