Thursday, May 11, 2023
One Stop Systems, Inc. (OSS) designs and manufactures innovative AI Transportable edge computing modules and systems, including ruggedized servers, compute accelerators, expansion systems, flash storage arrays, and Ion Accelerator™ SAN, NAS, and data recording software for AI workflows. These products are used for AI data set capture, training, and large-scale inference in the defense, oil and gas, mining, autonomous vehicles, and rugged entertainment applications. OSS utilizes the power of PCI Express, the latest GPU accelerators and NVMe storage to build award-winning systems, including many industry firsts, for industrial OEMs and government customers. The company enables AI on the Fly® by bringing AI datacenter performance to ‘the edge,’ especially on mobile platforms, and by addressing the entire AI workflow, from high-speed data acquisition to deep learning, training, and inference. OSS products are available directly or through global distributors. For more information, go to www.onestopsystems.com.
Joe Gomes, Managing Director, Equity Research Analyst, Generalist , Noble Capital Markets, Inc.
Joshua Zoepfel, Research Associate, Noble Capital Markets, Inc.
Refer to the full report for the price target, fundamental analysis, and rating.
New Award. One Stop Systems received an initial order from a new military prime contractor for OSS 3U short-depth servers (SDS) for use by a U.S. Air Force anti-electronic warfare system. OSS has already commenced shipments under an initial purchase order. This program is the company’s first with this prime contractor. It is valued at approximately $3.5 million over the next three years.
SDS. The servers feature proprietary OSS Gen 4 PCI express NVMe controllers, OSS transportable hot-swap drive canisters, and NVMe SSDs that support government encryption standards. The servers are expected to serve as a head storage node for data collection located at U.S. Air Force ground stations that house military aircraft. They will be capable of recording large volumes of simulation data and deliver it at high speeds with low latency to data scientists on the network.
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