By adding DDN, Mindware’s AI solutions portfolio expanded, strengthening its value proposition.
Mindware will now be distributing DDN across the Middle East, Turkey and Africa (META) region. Under the agreement, Mindware will help DDN accelerate the adoption of its products and services, designed to support data-intensive environments and applications, by leveraging its expansive channel ecosystem in the region.
Mr. Alexandre Boutin, AI Director, Mindware shared, “As an AI Value-Added Distributor and trusted advisor, we felt the need to incorporate a vendor with a distinctive value proposition to meet various requirements, one of them being an Nvidia certified ecosystem partner for large SuperPOD projects, within and outside the realms of conventional AI/ HPC applications. With this new partnership with DDN, Mindware will offer solutions that accelerate AI and HPC apps at any scale, that are geared towards enabling organizations to manage large volumes of data efficiently, and to derive actionable insights from that data, ensuring high performance and reliability across various use cases.”
Ankur Arora, Senior Regional Director for MEA, DDN, said, “Infrastructures need to be adapted to cope with the increasing compute capabilities and workload requirements. DDN’s unique value proposition is centered around its ability to deliver high-performance, scalable and reliable data storage solutions tailored for complex, data-intensive workloads and environments. We develop our solutions to enable customers and partners to get the absolute maximum productivity from the entire environment. This collaboration marks a significant milestone in our commitment to empowering businesses with flexible and innovative technology solutions that will drive digital transformation for these enterprises and the region as a whole.”
DDN’s storage and management solutions make deployment, management and scaling simple for even the largest AI applications, from edge to data centre to any cloud. It is the leading technology for scalability, performance and cost-effectiveness to ensure faster ROI and maximum utilization of compute resources.
