Watching the conflicts play out recently in the Ukraine and Iran, it is certain that there has been not only massive adoption in implementation of AI, sensor processing, sensor fusion, and autonomy but also massive advancement of those technologies in relatively short time periods compared to any other time in history. The leaders on the battlefield are those that have harnessed and deployed these technologies without delay in alignment to standards, timing, or bureaucracy in acquiring. Because the level and pace of technology today is so steep, those who fail to adopt and move with a sense of urgency run the risk of falling behind in a technology battle from which they may never have the time or ability to catch up.

Before starting college in 2022, I had considered artificial intelligence (AI) a thing of the future, something I wouldn’t see until I was later in my years. With the birth of large language models (LLMs) like ChatGPT and the rise of machine learning systems, my world flipped on its head. Since joining the tech industry, I see I am not alone with this experience. From one year to the next, there is no telling what kind of technological developments we will bear witness to. When it comes to the defense and security of our nation, capitalizing on these advancements is paramount, lest we fall behind our adversaries. As a result, within the defense industry, marketers are required to become adaptable to the shifting needs of their company’s customers.

My time at the booth was spent listening to my colleagues interacting with partners and potential customers. Watching these exchanges, I recognized what was at the heart of West—the real reason why hundreds of people had shown up during the work week to surround themselves with others in the defense industry. The obvious explanations come to mind: to meet customers, establish connections, solidify a brand’s image, and feel out competitors. But when I took a step back to study the messaging on the booths and walk the floor, I saw what I had studied for years as a marketing student come to life. Every conversation and display was geared toward answering one two-part question:

“What do my customers want, and how can my product(s) solve their problem?”

As data-intensive workloads continue to grow across industries like AI, defense, autonomous systems, and high-performance computing (HPC), the need for scalable, high-speed infrastructure has never been greater. Organizations are increasingly hitting the physical and performance limits of traditional server architectures—especially when it comes to GPU density, storage bandwidth, and I/O flexibility.

This is where PCIe Expansion Systems come into play. By extending the capabilities of existing servers, PCIe Expansion enables businesses to scale performance efficiently without complete infrastructure overhauls. In this blog, we’ll explore the key benefits of PCIe Expansion, including how expansion backplanes, GPU expansion, and emerging technologies like CXL and PCIe 6.0 are shaping the future of computing.

Modern defense operations increasingly assume one thing: the network may not be there when it matters most. In a cloud denied environment, forces must still collect data, process sensor feeds, support operators, and make decisions without relying on persistent access to centralized infrastructure. In these conditions, communications may be denied, disrupted, intermittent, or severely bandwidth-constrained. The mission continues anyway.

That reality is changing how military and aerospace systems are designed. Architectures that depend on constant reach-back to the cloud or to remote enterprise systems create operational risk when adversaries disrupt communications through jamming, cyberattack, or anti-access and area-denial strategies. In a contested environment, success depends on the ability to move compute, storage, and analytics directly to the edge.

Key takeaways from NVIDIA GTC 2026 and what they mean for rugged edge computing, real-time AI systems, and edge AI deployment. 

Maritime dominance has long been a foundation of U.S. national security and allied stability. Control of the seas enables freedom of navigation, power projection, deterrence, and protection of global trade routes. As the maritime battlespace becomes increasingly contested, congested, and data-driven, dominance is no longer defined solely by the number of ships or missiles, but by the ability to sense, decide, and act faster than adversaries. Rugged High Performance Edge Compute (HPeC) solutions have become a decisive enabler of this advantage.

At the same time, senior Department of War leadership—­­including directives from the Secretary of War—has made clear that maintaining superiority requires rapid integration of advanced commercial technology into military platforms at the speed of need. Traditional acquisition timelines measured in years are no longer compatible with the pace of technological change or modern threats. Rugged HPeC solutions from One Stop Systems (OSS) directly addresses this challenge.

Initial design and prototype order valued at approximately $1.2 million

Integration of OSS hardware into prime contractor system further validates OSS capabilities for next-generation 360-degree vision and sensor processing solutions

ESCONDIDO, Calif., Jan. 07, 2026 (GLOBE NEWSWIRE) -- One Stop Systems, Inc. (OSS or the Company) (Nasdaq: OSS), a leader in rugged Enterprise Class compute for artificial intelligence (AI), machine learning (ML) and sensor processing at the edge, today announced it has received an approximately $1.2 million pre-production order from a new U.S. defense prime contractor for the design, development, and delivery of ruggedized integrated compute and visualization systems for U.S. Army combat vehicles.

As we bring another successful year to a close, we at One Stop Systems (OSS) are incredibly proud of the progress we’ve made — progress that directly translates into greater capability and success for you, our valued customer.  We’ve expanded our product portfolio and deepened our technical expertise, driving measurable impact across both Commercial and Defense markets.

By:  Jaan Mannik – Director of Commercial Sales

The term AI, or Artificial Intelligence, is everywhere nowadays and has quietly woven itself into the fabric of our daily lives. It powers the recommendations we see on streaming platforms, the navigation apps that guide us through traffic, and even the virtual assistants that answer our questions in seconds. From optimizing energy use in smart homes to predicting market shifts in finance, AI has become the invisible engine driving convenience, efficiency, and insight across industries.

In manufacturing, AI-driven robots collaborate with humans to streamline production. In agriculture, machine learning models monitor crops, forecast yields, and conserve resources. Retailers use predictive analytics to anticipate consumer needs before customers even express them. The reach of AI is no longer confined to futuristic labs, it’s in our phones, vehicles, and cities, constantly learning and adapting to serve us better.

OSS PCIe-based products deliver critical advantages for modern military sensor systems by enabling real-time data acquisition, processing, and transmission in rugged, mission-critical environments. These benefits stem from their ability to support high-bandwidth, low-latency interconnects, modular scalability, and environmental resilience, all of which are essential for today’s advanced military platforms.

Companies today are being asked to do more with data than ever before. Bigger AI models, faster insights, and workloads that don’t stay in one place, it’s a lot to keep up with. Traditional infrastructure just isn’t built for this kind of speed and flexibility.

The answer isn’t about throwing more hardware at the problem. It’s about building smarter, more agile infrastructure that adapts as demands change. And that’s where scale-out and increasingly, a blend of scale-out and scale-up come into play.

The rugged edge computing landscape is becoming increasingly complex with new generations of technologies, such as the latest AI focused GPUs, releasing annually rather than every 2-3 years. Whether the end application is commercial or defense, rugged edge servers must not only deliver cutting-edge compute performance but also withstand extreme environmental conditions.

When the PCI-SIG formally added support for 675W add-in card devices in the PCI Express Card Electromechanical (CEM) specification in August 2023, NVIDIA’s most powerful CEM GPU, the NVIDIA H100 80GB had a maximum power consumption of 350W.  While some devices were starting to push the limits of datacenter thermodynamics – high density systems of many 675W devices seemed like a distant reality.  However, with power constraints uncapped and the need for higher performing GPUs skyrocketing, the industry quickly came out with devices taking full advantage of the new specification capability.  NVIDIA quickly replaced the H100 80GB with the H100 NVL, increasing power density to 400W.  While this small jump was manageable for existing installations, NVIDIA then dove all-in with the H200 NVL released in late 2024 at 600W.  The rapid transition from 350W to 600W has put power and cooling technologies in the spotlight in a race to solve this next generation challenge.

The advent of technology has always brought about significant changes to various industries, and the transportation sector is no exception. Among the most transformative innovations in recent years is the development of autonomous vehicles, particularly trucks. The potential for autonomous trucks to revolutionize freight transport is immense, raising the fundamental question: will these technological advancements make human drivers obsolete? To explore this question, we must consider the current state of autonomous driving technology, the economic implications, and the societal impact of removing human drivers from the equation.

The integration of artificial intelligence (AI) into military operations has revolutionized battlefield strategies, decision-making, and operational efficiency. Among these advancements, AI inference nodes deployed directly on soldiers represents a cutting-edge innovation. These nodes, compact computational devices, enable real-time AI processing and analytics, empowering soldiers with enhanced situational awareness, decision support, and operational effectiveness. However, such technology also brings challenges, particularly in power management, size, and weight constraints. This blog delves into the advantages and disadvantages of implementing AI inference nodes on soldiers, focusing on these critical aspects.

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 this video, Jaan Mannik, Director of Commercial Sales at OSS, does a quick walkthrough of Centauri Storage Expansion. Centauri offers rugged high-speed storage in a compact chassis. Built as a modular storage expansion to the OSS 3U SDS, Centauri can store up to 256 TB of NVMe storage in its 8-drive canister. These canisters allow for tool-less bulk or individual drive removal and can be hot-swapped for ease of use in fast-paced environments. The system is compatible with 2.5" NVMe drives, and its PCIe Gen4 hardware facilitates high-speed storage throughput. 

Driver Assistance, Partial Driving Automation, Conditional Driving Automation, High Driving Automation, Full Driving Automation: These terms describe the five stages or levels on the way to an autonomous vehicle. This is what they mean.

The need to keep US and allied troops out of harm’s way, while still pursuing battlefield superiority, increasingly requires a need for battlefield assets throughout the military theater to become fully autonomous.  Currently, most unmanned military vehicles are controlled remotely, but the military is expanding the role of autonomy within surface ships, submarine vessels, aircraft, and land vehicles to identify and take action on current and future threats. 

With the well-documented shortage of semi-truck drivers currently in the United States, where do we stand in terms of developing and deploying autonomous trucks?  Will autonomous long-haul trucks take jobs away from drivers?  Are fully autonomous trucks safe for the roads?  What does the future look like for autonomous trucks?  These are all great questions. This blog will discuss all that and more, so let’s jump in and discuss it.