Infortrend Storage Fuels AI Deep Learning Application at Leading Space Research Organisation with with EonStor GS
High Performance Storage Was the Main Consideration
InfortrendŽ Technology, Inc., the industry-leading enterprise storage manufacturer, provided one of the top five space research organisations in the world with the EonStor GS enterprise unified storage solution to enable Artificial Intelligence (AI) deep learning application in the space exploration projects.
Infortrend has been developing and manufacturing storage solutions since 1993. With a strong emphasis on in-house design, testing, and manufacturing, Infortrend storage delivers performance and scalability with the latest standards, user-friendly data services, personal after-sales support, and unrivaled value.
The space research organisation is one of the top five space exploration agencies in the world. To analyse data captured by its exploration equipment, it employs AI deep learning algorithms, recognising and classifying objects, scenes, and activities for efficient content verification and tagging, which is essential for risk assessment and mission planning.
In this application, high-performance storage is crucial for handling the large volumes of data generated by AI-driven processes. The organisation was in search of a suitable storage solution because their outdated system could not meet the performance needs of AI workloads.
Leveraging EonStor GS 4024U by Infortrend
The organisation adopted two units of Infortrend’s high performance EonStor GS 4024U U.2 NVMe hybrid flash storage and two expansion enclosures JB 3016. To maximise performance, the GS 4024U appliances connect to the network switch through a 100GbE interface. Overall, the solution provides 590 TB to store space exploration data.
To optimise storage efficiency, the auto-tiering function allocates data undergoing AI analysis on the high-performance SSD pool on GS and analysed data on the cost-saving HDD pool on JBOD. Each GS 4024U appliance can deliver up to 17 GB/s and 6 GB/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 Visualisation Group of the Earth Observation Department at one of the world’s top five space research organisations.
