��ݮ��Ƶ Blog

The Growing Need for Rugged Memory in Military Servers

jshaw@trentonsystems.com (Jim Shaw) — Wed, 22 Jan 2025 15:23:55 GMT

As advancements in CPU technology continue to accelerate, modern processors are becoming bigger, faster, and more power-hungry. This trend, while offering unparalleled computational power, creates significant challenges for the supporting components in server systems, particularly in demanding military applications such as radar, sonar, and intelligence, surveillance, and reconnaissance (ISR) systems.

Among these challenges is the need for rugged memory that can keep up with the pace of CPU advancements while withstanding the harsh environments of military deployments.

What is the Open Compute Project (OCP)?

ctrick@trentonsystems.com (Christopher Trick) — Fri, 08 Nov 2024 19:10:57 GMT

In today’s fast-evolving technology landscape, the demand for scalable, efficient, and adaptable computing solutions is higher than ever, especially in environments that require durable and resilient hardware.

The Open Compute Project (OCP) addresses these needs by fostering open-source hardware designs that provide cost-effective, energy-efficient, and highly customizable infrastructure solutions suitable for a wide range of applications, including rugged and remote settings.

In this blog, we'll explore the Open Compute Project (OCP), its various benefits, and how it can serve customers who need a high-performance computing solution for rugged environments.

Edge Computing vs. Fog Computing: Is There a Real Difference?

bdaniel@trentonsystems.com (Brett Daniel) — Mon, 21 Oct 2024 18:11:29 GMT

Graphic: Edge computing is here to stay. Are you prepared for the changes it will bring?

Background: the Internet of Things (IoT) & cloud computing are driving the edge
The benefits of edge computing/fog computing
Edge computing vs. fog computing: Is there an actual difference?
Equipping your program or application with a reliable edge/fog server

Businesses and organizations are generating more raw data than ever before - so much, in fact, that sending it to the cloud for processing and storage has become a costly and inefficient endeavor.

The more data they send to the cloud for analysis and storage, the more money they spend on transferring said data. This newfound surge in throughput also creates a rise in latency, which translates to a delay in response times for a given business’s or organization’s human and physical capital - that is, the employees and autonomous machines using the insights derived from the raw data to do real work and make real decisions.

When businesses and organizations need to elicit insights from this raw data nearly instantaneously to remain competitive in an ever-technologically-demanding global market, such an inefficient architecture can become a cumbersome responsibility that wastes both time and money.

And you know the old saying: time is money.

Enter edge computing/fog computing.

In this blog post, we'll provide a brief background on how the Internet of Things (IoT) and cloud computing are driving edge computing/fog computing, discuss the benefits of edge computing/fog computing, and talk about whether there's an actual difference between the two. Stick around.

Achieving Information Dominance in Military Applications through AI, Sensor Fusion, Networking, Precision Timing, and Advanced Computing

jshaw@trentonsystems.com (Jim Shaw) — Mon, 12 Aug 2024 22:31:42 GMT

This blog post explores the critical role of AI, sensor fusion, networking, precision timing, and high-performance computing in achieving information dominance in military applications.

It highlights how these technologies work together to provide situational awareness, operational superiority, synchronized actions, and the computational power needed to dominate the modern battlefield.

Do I Use a ��ݮ��Ƶ Motherboard or a Third-Party Motherboard?

rhaag@trentonsystems.com (Robert Haag) — Wed, 10 Jul 2024 17:54:35 GMT

As we interact with an ever-expanding customer base, we are receiving requests to incorporate ��ݮ��Ƶ motherboards as well as third-party motherboards into our servers. Each have their advantages, but are suited for different purposes.

In this piece, I explore when it would best suit a customer to use a ��ݮ��Ƶ motherboard or a third-party motherboard.

Private 5G Networks for Mission Critical Communications

pweber@trentonsystems.com (Philippe Weber) — Thu, 02 May 2024 14:59:58 GMT

��ݮ��Ƶ Selected as an Intel Partner of the Year!

ctrick@trentonsystems.com (Christopher Trick) — Wed, 24 Apr 2024 13:11:16 GMT

Your All-in-One Guide to ��ݮ��Ƶ's Intel® Xeon® Scalable Processor Configurations

ctrick@trentonsystems.com (Christopher Trick) — Mon, 15 Apr 2024 14:51:14 GMT

Depending upon your workload requirements, budget, and/or use case, there are many different CPUs that can be used to meet the technical and performance demands of a specific application or program.

In this blog, we'll dive into some of the main factors to look at when evaluating CPUs, the advantages of using Intel^® Xeon^® Scalable Processors, and ��ݮ��Ƶ configurations utilizing these processors to cater to diverse customer requirements.

��ݮ��Ƶ Partners with PSI Solutions, Inc. to Boost Pacific Northwest Sales

ctrick@trentonsystems.com (Christopher Trick) — Wed, 03 Apr 2024 15:57:07 GMT

DULUTH, GA - ��ݮ��Ƶ has joined forces with a new brand partner, PSI Solutions, Inc., for expanded sales coverage in the Pacific Northwest across Washington, Oregon, Idaho, and Montana.

Intelligent Innovation: AI-Powered Solutions for Complex Applications

ctrick@trentonsystems.com (Christopher Trick) — Thu, 08 Feb 2024 13:30:54 GMT

AI (artificial intelligence) is surging in popularity and importance within the world of HPC (high-performance computing) due to its ability to quickly process and analyze large data sets to deliver real-time, actionable intelligence for a variety of applications.

In this blog, we take a look at some of AI's key benefits, how a solution becomes AI-powered, motherboard form factors that support advanced AI/ML/DL, use cases, and two AI-powered solutions from ��ݮ��Ƶ.