The evolution of IT infrastructure spans several decades and is marked by significant advancements in computing technology, networking, storage, and management practices. Data Centers have historically relied on Converged or Hyper-Converged infrastructures when deploying their hardware which proved to limited in flexibility, efficiency, scalability, and support for the Artificial Intelligence / Machine Learning (AI/ML) modern workloads of today.
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., Sept. 12, 2024 (HPC WIRE) — One Stop Systems, Inc. (OSS), a leader in rugged Enterprise Class compute for artificial intelligence (AI), machine learning (ML) and sensor processing at the edge, today announced that the Company has entered into a Cooperative Research and Development Agreement (CRADA) with U.S. Special Operations Command (USSOCOM). The goal of this partnership is to create advanced, durable high performance computer (HPC) solutions that can process vast amounts of data quickly and efficiently in the field.
Read MoreToday’s AI computer architectures - relying on switched fabrics - need new packaging approaches that can handle the demanding requirements of military applications in the field. But program leaders face the dilemma of meeting these requirements using open standards that were never initially designed for them.
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 2024 4-Star 'Best in Show' Award in the Artificial Intelligence/Machine Learning category for it's Liquid Cooled Rugged Edge Server at the WEST 2024 show in San Diego, CA. This server enables large-scale, multi-workload, AI inference and autonomous applications in virtually any military vehicle.
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