By Matthew Elwell, Project Engineer
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.
With the autonomy of these vehicles continuing to increase, the amount of sensor data required to develop self-driving algorithms will continue to increase as well. Hundreds of sensors are needed throughout the chassis of the vehicle to collect data on its positioning, as well as the positioning of any obstacles around it. The primary types of data recorded are radar, lidar, and video, which are predicted to require bandwidths reaching up to 1024 GB/s by the year 2024. Some autonomous driving companies have circumvented this immense infrastructure requirement by only recording data preceding any “anomalies” experienced while travelling, which usually requires the intervention of a human operator. As for industry standards, the NHTSA only requires the reporting of data leading up to a collision involving an autonomous vehicle. In an industry in which a single failure could lead to severe property damage and loss of life, many companies have opted to store a complete array of sensor data on every trip taken by their vehicles.
As a company focused on deploying servers and storage expansion systems in rugged environments, One Stops Systems has developed a variety of products refined for use in the automotive vehicles industry.
The 3U Short Depth Server (SDS) offers a high degree of flexibility for a variety of AI applications, offering both Intel and AMD based motherboards, alongside 4 dual width PCIe slots for GPU or FPGA accelerated computing.
Designed for use in autonomous trucking, the Centauri storage expansion system is the ideal companion for any server tasked with recording sensor data. Centauri’s compact aluminum chassis holds up to 128TB in 8 2.5” NVMe slots. By connecting to the host server via 3m PCIe uplink cables, storage can be disaggregated from a host server that cannot be accessed by an operator. Both systems feature PCIe Gen 4 architecture, dual redundant CRPS power supplies, fan control and temperature monitoring through IPMI software.
In the autonomous vehicles industry, transferring raw data through conventional means of uploading can take a significant amount of time, bogging down the operation of a vehicle. This issue is aggravated in the training phase of deployment, in which developing algorithms can benefit from processing as much data as possible. The 3U SDS and Centauri systems overcome this storage requirement using a proprietary shared storage canister design. Both products include a bulk removable, hot swappable storage canister that can be seamlessly transferred between either system. Long upload times can be avoided by physically removing and replacing a system’s storage. In an ideal use case, a Centauri unit linked to a server within an autonomous vehicle can house storage canisters that are filled and replaced over the course of a trip. Once the trip is completed, the sensor data can be seamlessly transferred to a 3U SDS located in a datacenter and processed.
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The character of modern warfare is being reshaped by data. Sensors, autonomy, electronic warfare, and AI-driven decision systems are now decisive advantages, but only if compute power can be deployed fast enough and close enough to the fight. This reality sits at the center of recent guidance from the Trump administration and Secretary of War Pete Hegseth, who has repeatedly emphasized that “speed wins; speed dominates” and that advanced compute must move “from the data center to the battlefield.”
OSS specializes in taking the latest commercial GPU, FPGA, NIC, and NVMe technologies, the same acceleration platforms driving hyperscale data centers, and delivering them in rugged, deployable systems purpose-built for U.S. military platforms. At a moment when the Department of War is prioritizing speed, adaptability, and commercial technology insertion, OSS sits at the intersection of performance, ruggedization, and rapid 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.
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