“Edge Computing” is a term which has been widely adopted by the tech sector. Dominant leaders in accelerated computing have designated “Edge” as one of their fastest-growing segments, with FY24 revenue projected to be nearly $100 billion. The boom in the market for Edge Computing has become so significant that it is increasingly common to see companies create their own edge-related spinoff terms such as ‘Rugged Edge’, ‘Edge AI’, ‘Extreme Edge’, and a whole slew of other new buzzwords.
Read MoreAEROSPACE & DEFENSE REVIEW - The Business and Technology Magazine for A&D industry featured One Stop Systems in their latest Q&A industry review. Read the Full Article HERE.
Read MoreESCONDIDO, Calif. – April 8, 2024 – 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 that it has expanded its business development team and appointed Craig Powell Business Development Executive. Under this new role, Powell will be responsible for expanding the Company’s sales opportunities in U.S. and International defense and commercial markets.
Read MoreComplex solutions and the need to monitor them Edge Computing provides the opportunity to move highly complex, multifunctional solutions to the edge in support of the DoD advance compute initiatives. The connected battlefield requires solutions that are not only able to perform but are also capable of meeting the varied environments of the modern-day field of deployment. This daunting task challenges the best system designers to build a solution that is measured in the extreme.
Read MoreJoin OSS in Paris, June 17-21 at EUROSATORY, where we'll unveil our cutting-edge autonomous vehicle technology, highlighted by our premier product, Rigel. Don't miss the chance to explore our booth #D326 and experience firsthand our innovative storage and computing solutions, including the EB4400 and 3U SDS.
OSS receives 2021 4-Star 'Best in Show' Award in the Artificial Intelligence/Machine Learning category for it's GPU Accelerated Server-Rugged (GAS-R) at the Sea-Air-Space Exposition in Gaylord National Convention Center. Contest winners were drawn from embedded systems exhibitors that were recognized for the improved performance and innovation they bring to military electronic systems applications.
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