One of Top 5 Space Research Organizations Chooses Infortrend
To enable AI deep learning application in space exploration projects
This is a Press Release edited by StorageNewsletter.com on July 15, 2024 at 2:00 pmInfortrend Technology, Inc. provided one of the top 5 space research organization’s in the world with the EonStor GS enterprise unified storage solution to enable AI deep learning application in the space exploration projects.
To analyze data captured by its space exploration equipment, the research organization employs AI deep learning algorithms, recognizing and classifying objects, scenes, and activities for efficient content verification and tagging, which is essential for risk assessment and mission planning. In this application, storage is crucial for handling the large volumes of data generated by AI-driven processes. The organization was in search for a suitable storage solution because their outdated system couldn’t meet the performance needs of AI workloads.
The organization adopted 2 units of Infortrend’s EonStor GS 4024U U.2 NVMe hybrid flash storage and 2 expansion enclosures JB 3016. To maximize performance, the GS 4024U appliances connect to the network switch through a 100GbE interface. Overall, the solution provides 590TB to store space exploration data. To optimize storage efficiency, the auto-tiering function allocates data undergoing AI analysis on the SSD pool on GS and already analyzed data – on the cost-saving HDD pool on JBOD. Each GS 4024U appliance is capable of delivering up to 17GB/s and 6GB/s in read and write file throughput performance to meet requirements of the AI deep learning application.
“When selecting high-performance storage, our exclusive consideration was Infortrend’s solution. Without it, our AI neural networks for image analysis and interpretation would not be operational,” said the director of data visualization group of earth observation department.