Computer server redundancy, including backup power supplies, RAID storage devices and applications that automatically fail-over, keeps critical systems up and running longer than non-redundant systems. Similarly, effective system monitoring can provide early warning of failures and allow system managers to remotely manage these systems, further improving application uptime. While the concepts of computer system redundancy and system management are well-established in all levels of computing, from the personal computer to the largest hyperscale datacenters, the unique challenges of placing datacenter-class computing elements performing AI applications in mobile edge environments, like aircraft, ships, and land vehicles, brings unique challenges to system redundancy and management.
READ MORE![[VIDEO] Quick Setup Guide for the OSS 4U Pro System](http://onestopsystems.com/cdn/shop/articles/4UProSystemSetup.jpg?v=1680026616)
In this video, we will walk you through the setup process for the OSS 4U Pro Gen5 PCIe System. We utilize the OSS Short Depth Server (SDS) as the host for the purposes of this video, but the OSS 4U Pro can be connected to any server with an open x16 PCIe slot.
Edge computing is loosely defined as enterprise or industrial computing outside of a datacenter. The environments which encompass edge computing pose a unique set of challenges, requiring hardware to be designed to have a broad set of thermal and structural characteristics. For example, an edge computing device designed for an outdoor telecommunications application may be exposed to an extensive range of operating ambient temperatures, but it will experience little to no structural vibration or shock forces.
In this video, Braden Cooper presents a tour of the OSS booth at AFCEA West 2023 in San Diego, which took place from February 14th-16th. Braden discusses the products OSS showcased, including a few new products. OSS' Rugged Edge AI Transportable products provide GPU acceleration, FPGA data ingest, and NVMe storage for Edge AI Military Applications on land, on the sea and in the air.
The use of Artificial Intelligence (AI) in maritime applications is quickly becoming an integral part of the shipping industry. As technology advances, so does the potential of AI to help ships better navigate their routes, identify potential hazards, and make more informed decisions. Of course, AI can be used to support a wide variety of applications in traditional manned marine vessels, but the gold standard that is being developed in maritime settings is fully autonomous vessels. This blog post will explore some of the most promising use cases for AI in maritime applications, for both manned and unmanned vessels.
In today's world, many industries are striving to increase their productivity and efficiency in order to remain competitive. One industry that has made tremendous strides in this area is the oil and gas industry. In recent years, the industry has made extensive use of artificial intelligence (AI) on oil production platforms to increase efficiency and reduce costs.
As the world is on the brink of a tech refresh, scale-out solutions will get a significant boost in both TDP and PCIe transfer speeds. Our CPUs jump from 250w up to 400w in Gen5. Our PCIe lane architecture increases from ~32 GB/s to ~64 GB/s - in each direction. The extra watts will push the boundary of I/O solutions and speeds. Scale out I/O is expanding capacity of new hardware resources instead of increased capacity of old hardware.
In my last post I wrote about the true value of an AS-9100 system, and as part of that document, I touched on “customers”. In this blog I would like to expound on the topic of customers. Companies are in business to achieve one thing for their shareholders, and that is VALUE. Let us look at that sentence ……there is no mention of “customer”, it is not even implied. But if customers are required, why don’t we have the word customer in it. Customers are the “How” we create value, where the sentence above is “WHY” we are in business. Subtle differences but very important.
In the last few decades, the United States Navy has opened the door to upgrades and advancements in Artificial Intelligence (AI) technology for its ship systems, command and control infrastructure and decision-making capabilities. The Naval Research Laboratory established the Navy Center for Applied Research in Artificial Intelligence in 1981, and has been in the forefront of emerging technologies for Artificial Intelligence Machine Learning (AI/ML) applications for the United States Navy. These AI technologies are particularly found in two main areas: autonomous/unmanned systems and decision sciences.
The beginning of the year at a public company is inundated with a myriad of tasks which require a significant amount of time. The first task is writing annual performance reviews for each employee. This includes a review and assessment of achievement of goals from the previous year, and the establishing of goals for the new year. These are required to be written in SMART goal format; Specific, Measurable, Achievable, Relevant and Time based.
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