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.
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Since the early stages of the 21st century, Peripheral Component Interconnect Express (PCIe) has established itself as the standard bus for workstation and server motherboards to interface with graphics cards, network cards, and many other categories of add-in cards. The throughput of full-length connections are heavily dependent on the generation of PCIe products being used, seen in the table below – and as the need for higher system performance in artificial intelligence and other computing applications intensifies, so does the demand for newer PCIe Gen5 products.
Artificial intelligence (AI) is a term that has become increasingly familiar to people around the world. It has the potential to revolutionize various industries and improve many aspects of our lives. However, not all AI is created equal. There are two types of AI: narrow and general. While general AI aims to create machines that can think and learn like humans, narrow AI focuses on specific tasks and is designed to perform them with precision and efficiency. In this blog, we will focus on narrow AI and explore its potential applications.
Artificial intelligence (AI) has found its way into many areas of our lives in recent years, and the technology is also being used more and more frequently in medicine. But what are the advantages of using artificial intelligence, what are the current and future application scenarios, and what challenges does medicine face on the hardware side in order to achieve them?
The Department of Defense (DoD) has a huge budget that companies want to tap into, but selling to the DoD is different from commercial sales. This article discusses the key differences and how to approach selling to the DoD.
The past two decades have seen an exponential growth in data generated because of increased digitization of the business processes, instrumentation of devices, and the need to capture, collect and process vast quantities of unstructured data such as video and images. This evolution has resulted in the development of new programming languages, new data storage architectures, and rapid advances in the infrastructure and chip architectures required to transform these new aggregated data sets into business insight and competitive advantage for businesses and governments.
![[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.
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