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 MOREWith the availability of PCIe Gen 5 switches from Broadcom, One Stop Systems, Inc. (OSS) is ready to enter the market by supporting multiple IO endpoints like GPUs, NVMe storage devices, and networking cards at the Edge and Data Centers. With the advent of these switches, OSS Engineering designs products that meet the needs of demanding software applications - like artificial intelligence (AI), machine learning (ML) and other high-performance computing. OSS has already engineered numerous multi-slot PCIe Gen 5 backplanes that enable dense configurations of IO inside and outside the server. In general, PCIe 5.0 technology allows for more system topologies than ever before. Additionally, the feature-rich PCIe 5.0 switch designs help meet the needs of high-speed communications within a server, within a rack, and disaggregated solutions that use the PCIe bus.
In this video, Jaan Mannik does a tour of the OSS booth at ADAS & Autonomous Vehicle Expo 2022 in San Jose, CA. Jaan discusses the products showcased by OSS at ADAS and how they provide high-performance computing solutions for Edge AI in Autonomous Vehicles. OSS AI Transportable products provide autonomous vehicle optimized solutions for GPU acceleration, FPGA data ingest, and NVMe storage.
As the forefront of the development of artificial intelligence and a key application within One Stop Systems’ “AI Transportable” industry, autonomous vehicles present an opportunity for innovation in designing ruggedized servers and high-capacity storage products. While none of the vehicles on the road today are truly self-driving, progress is being steadily made towards systems that can successfully predict and navigate everyday traffic. Autonomous cars and trucks being currently deployed are capable of driving with limited operator input, it is predicted that fully autonomous vehicles will be widely available by the end of the decade. One Stop Systems has had the unique opportunity to support this progression by developing products catered to the extensive storage needs of the autonomous vehicles industry.
Out-of-Band (OOB) system management is a staple of the modern datacenter. The tools used by administrators have matured over the last 20 years to provide a variety of mission critical features for managing, monitoring, configuring, and updating computer systems independent of the host system’s resources. Intel led the way in the early days by defining a set of interface specifications for basic system management in 1998 called the Intelligent Platform Management Interface (IPMI). Over the next 20 years, 200+ computer vendors joined support for the IPMI specifications. While IPMI has served us well over the years, it is showing its age with a myriad of security concerns and use of legacy standards that make managing modern hybrid infrastructures difficult and complicated.
The idea and dream of a fully autonomous car is almost 100 years old. It was first formulated in the US magazine Scientific American. The reason for this was presumably the "American Wonder", a remote-controlled car that drove through Manhattan in 1925. After almost a century, it seems that the automotive industry is on the verge of reaching its goal of having driverless and fully autonomous vehicles participate in everyday traffic. But when will it finally come? To answer this question, we need to examine the reasons why vehicles are not yet fully autonomous.
A June 4, 2020 congressional report, “Intelligence, Surveillance, and Reconnaissance Design for Great Power Competition”, reinforced the importance of the United States’ military continuing to develop ISR (intelligence, surveillance and reconnaissance) capabilities as threats grow around the world. The report states that the goal is to “make rapid sense of that data; securely deliver that data to weapons, weapon systems, and commanders; and possess a workforce that can execute its mission in competition and combat, at a pace greater than the enemy.”
Here at One Stop Systems, we continually strive to learn from our customers and employees in order to be better than the day before! What better way than to partner with our community and students in our home of San Diego? We hosted our 2nd annual OSS Summer Internship with students from California State San Marcos/Fullerton, UC San Diego, and the SDSU campuses!
Most of us are familiar with or have at least heard the term ‘Edge’ or ‘Edge Computing’ when discussing new high-performance computing (HPC) technologies around the Internet of Things (IoT), Cloud Computing, Autonomous Vehicles, etc. How many of us can explain the different levels of performance between PCIe and 5G, in relation to edge computing? Moreover, why is it important when discussing (HPC) at the edge? In this post, we’ll take an in-depth look at the increasing need for greater performance at the edge and what HPC applications benefit from PCIe vs. 5G.
On June 8th 2022, the DOD’s chief information officer, John B. Sherman, held a fireside chat with Craig Martell, DOD's chief digital and artificial intelligence officer, at the DOD Digital and AI Symposium as reported by the DOD News. The article stresses the importance of digital transformation and artificial intelligence in enabling warfighters to maintain a battlefield advantage, even as China and Russia develop their own AI for military purposes.
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