NISI Developing Innovative Medical Technologies with NetApp ONTAP AIThe NISI Group (NISI) is a medical technology business headquartered in Hong Kong, specializing in the development, manufacture, and sales of innovative surgical and diagnostic products. Its corporate mission is to become a world leader in noninvasive surgical innovations.

 

NISI first used an NVIDIA DGX-1 as a high-performance computing node to help with its survey of research courses. Because the initial training dataset was not large, the simulation was done entirely on the NVIDIA DGX-1. However, NISI was collecting more labeled medical images for training its new network and sourcing data from several hospitals and clinical centers, and its data volumes were growing exponentially.

 

In addition to the images, NISI also needed to collect videos showing the times when the images were taken. These metrics enhanced the overall system and performance, and also its data storage requirements. NISI required larger storage and more data throughput to facilitate its deep learning (DL) process. Its previous storage network throughput speeds clocked around 1 gigabit per second, which was not nearly fast enough for its DL solution.

 

NISI is a startup with limited resources. NetApp was able to provide the company a cost-effective but high-tier solution. In conjunction with the NVIDIA DGX-1 already deployed by NISI, NetApp provided ONTAP® AI with a NetApp AFF A300 all-flash array that uses predictive AI. The system improves performance, speed, and IT agility for end users to carry out deep learning and AI workloads. The Mellanox SN2100 100Gb Ethernet switches facilitated the connection between the NetApp AFF A300 and NVIDIA DGX-1 computing node. All the components were optimized by the NetApp ONTAP AI reference architecture, which was pivotal for seamless setup, configuration, and troubleshooting throughout the deployment process

 

NISI was able to migrate data rapidly from the DGX-1 to the new NetApp storage. These technologies have created seamless and transparent operations for the technology team and AI researchers. Furthermore, NISI now has spare computing performance and storage bandwidth capabilities and is currently migrating some of its business networks to the NetApp solution, such as its enterprise resource planning (ERP) system.

 

To learn more about the NISI story and analyst IDC’s perspective, read the report.

Mike McNamara

Mike McNamara is a senior leader of product and solution marketing at NetApp with 25 years of data management and data storage marketing experience. Before joining NetApp over 10 years ago, Mike worked at Adaptec, EMC and HP. Mike was a key team leader driving the launch of the industry’s first cloud-connected AI/ML solution (NetApp), unified scale-out and hybrid cloud storage system and software (NetApp), iSCSI and SAS storage system and software (Adaptec), and Fibre Channel storage system (EMC CLARiiON). In addition to his past role as marketing chairperson for the Fibre Channel Industry Association, he is a member of the Ethernet Technology Summit Conference Advisory Board, a member of the Ethernet Alliance, a regular contributor to industry journals, and a frequent speaker at events. Mike also published a book through FriesenPress titled "Scale-Out Storage - The Next Frontier in Enterprise Data Management", and was listed as a top 50 B2B product marketer to watch by Kapos.

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