Manufacturing is Still Up and Running in Escondido
COVID-19 may have put the brakes on a lot of industries but things are up and running in Escondido. A recent study by the San Diego Regional Economic Development Corporation, found that the 78 corridor, which includes Escondido, provides over 40,000 manufacturing jobs and has an annual economic impact of $18 billion. These jobs include computer and electronics manufacturing. The study found this work is projected to rise up to 6% in the next five years.
Two high tech companies in Escondido are proving these statistics to be true.
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A long-haul truck cruises by you on Interstate 10 in west Texas. You get a brief wave from the driver who seems unfocused on the road ahead. It’s hot and the road is bumpy. You didn’t realize it but you just encountered an autonomous driving truck in development, testing out the latest version of its Artificial Intelligence algorithms. The truck is loaded with unseen video cameras, lidar, radar and infer-red sensors. As it travels along it is seeing its environment and its on-board computers are making the thousands of little decisions that keep it moving safely to its prescribed destination. The driver is a safety layer that will be removed in future iterations of the design.
Adoption of the latest HPC and AI technologies in autonomous vehicles is creating a surge in vehicle real-time data processing capabilities. The growth in number, speed and resolution of vehicle sensors and related compute performance in autonomous vehicles has in turn led to increased demand for high-capacity, high-throughput storage. Effective storage within autonomous vehicles must meet three primary criteria: throughput to match the capture and processing rates, a rapid data transfer workflow for offloading the captured data, and a rugged environmental design to operate in any autonomous vehicle conditions.
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STL Partners selected OSS as one of the 100 Edge Companies to Watch in 2022.
Notable achievements in 2021: One Stop Systems won several programs to provide data-center-class AI hardware into rugged mobile edge environments without compromising performance such as in Mobile Datacenters and Autonomous Trucks. It also launched the high performance Rugged Compute Server for AI Transportable applications, Rigel.
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