Streamlining Edge Applications with 5th Gen Intel Xeon Scalable Processors and UNICOM Engineering

As Edge applications grow and expand, so should organizations' approaches to IoT technology. Many companies find themselves challenged by monolithic and proprietary first-generation Edge-based hardware that is difficult to manage and grow. Others find that their Edge sensors produce so much data that they aren't practical. 5th Gen Intel Xeon Scalable processors and related technologies are answering the call for newer, better-performing Edge IoT at the Edge.

How do 5th Gen Intel Xeon Scalable Processors enable Edge-virtualized and AI workloads?

The 5th Gen Intel Xeon Scalable Processors enhance edge-virtualized and AI workloads with 84% better compute performance and up to 14% improved AI training and inference over the 3rd Gen. They deliver up to 10 times higher performance-per-watt efficiency with Intel Accelerator Engines and offer open-source tools to streamline development, maximize performance, and ensure security.

A Path to Smarter IoT

Through successful customer launches, Intel has compiled a list of helpful tips organizations can use to improve the performance and outcomes of their Edge deployments. These include:

1. Focus on Impact-whether it's safety, customer experience, efficiency, or quality, leaders should focus on the applications that aim to deliver the most important results.
2. Promote Executive Ownership-Organizations must support their IoT efforts with skill development, hardware, and software from the top down.
3. Leverage a Team-Whether it be development, deployment, or management, organize partners and internal resources to achieve your Edge deployment goals.
4. Unite IT and OT-Gone are the days when OT and IT should work in silos. As technologies converge, so should the people who support and deploy them.
5. Begin with Small Wins-Start with incremental modifications of existing processes for best results. Early success can build momentum toward more extensive projects.
6. Avoid Proprietary Platforms-Many organizations regret early investments in systems that brought vendor lock-in. Instead, use open standards and platforms to promote consistent growth.

Intel's Intelligent IoT at Work

With advances like 5th Gen Intel Xeon Scalable Processors, Intel continues to power the world's most demanding deployments. Some examples include:

Exxon Mobil

Exxon Mobil relied on proprietary, single-function, monolithic devices to manage wells worldwide. These Edge units locked them into specific vendors, creating communications bottlenecks and management nightmares. Working closely with Intel, they replaced the older units with Universal Wellpad Controllers (UWCs) built on industry-standard hardware and open-source software. This change has enabled AI-based well management that optimizes operation, production, and maintenance.

Samsung Medison

According to the World Health Organization, women receiving no prenatal care are five times more likely to die during pregnancy than those who do. Fetal growth is a crucial metric that has been difficult to measure until recently. In response, Samsung Medison developed its Biometry Assist to simplify fetal measurements and its LaborAssist to approximate a baby's position. Developed with Intel processors and the Intel OpenVINO toolkit, these technologies have enabled doctors to understand fetal size and position, eliminating unnecessary cesarean sections.

European Space Agency

For the European Space Agency (ESA), the intelligent Edge extends into the remotest of locations: space. Recently, they launched their PhiSat-1 satellites 329 miles above the Earth to monitor polar ice and soil and establish a network with other satellite systems. However, while the amount of data captured increased exponentially, the satellites were restricted by the tight bandwidth in their connection with the ground. What's worse, most of the images gathered were cloud cover. To solve this dilemma, ESA deployed an Intel-accelerated AI system to eliminate the clouds from the images, significantly reducing their bandwidth needs.

Intel Technology and the Intelligent Edge

Intel understands that superior Edge technology starts with hardware performance. With built-in AI acceleration and superior overall performance, the 5th Gen Intel Xeon Scalable Processors provide an optimal alternative to legacy Edge hardware. These CPUs deliver 84% better compute performance and up to 14% improved AI training and inference compared to the 3rd Gen Intel Xeon processors. Additionally, they offer up to 10 times higher average performance-per-watt efficiency with Intel Accelerator Engines.

Beyond hardware, Intel offers various software-based tools, including the Intel Distribution of OpenVINO Toolkit,Intel DevCloud for the Edge, Intel Trust Domain Extensions (Intel TDX), and Intel Software Guard Extensions (Intel SGX).

Build Your Intelligent Edge with Intel and UNICOM Engineering

There's no need to devote internal resources to hardware integration and deployment when you can leverage the expertise of a capable partner like UNICOM Engineering.

By integrating Intel's advanced processors into comprehensive solutions tailored for diverse industries, UNICOM Engineering ensures the potential of the intelligent Edge is fully realized. Whether facilitating faster time-to-market for technology innovators or providing end-to-end support for complex AI and IoT deployments, UNICOM Engineering is at the forefront of bringing these cutting-edge technologies to life.

Schedule a consultation today to dive into the possibilities of AI at the Edge and harness the capabilities of the latest Intel technology.

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