PNY Technologies has signed a distribution agreement with NetApp.
“Companies and organisations of all sizes and across many industries are turning to artificial intelligence, machine learning, and deep learning to solve real-world problems, deliver innovative products and services, and to get an edge in an increasingly competitive marketplace. As organisations increase their use of AI, ML, and DL, they face many challenges, including workload scalability and data availability” describes Kristian Kerr, Channel Vice President EMEA for NetApp. “This requires a lot of knowledge from different players. With PNY, NVIDIA, and NetApp, out partners have the support of the very best in the market and can comfortably position themselves in this long-term growth sector of the industry.”
NetApp and PNY are teaming up to provide customers with systems featuring NVIDIA accelerated computing.
This new collaboration with NetApp allows PNY to strengthen its global AI offerings with complete clusters that meet the requirements of high -performance AI.
This includes AI computing with NVIDIA DGX systems, NVIDIA Networking and NetApp data management. PNY will rely on NetApp ONTAP AI solutions, one of the first converged infrastructure stacks to incorporate NVIDIA DGX A100 systems, and NVIDIA Spectrum Ethernet switches, to propose AI clusters of up to 10 nodes.
“This partnership is a win-win solution for both companies: offering NetApp’s AI hardware and software solutions will enable PNY to offer its customers a complete package for configuring NVIDIA enterprise AI infrastructures. And our expertise and know-how in AI will help the NetApp reseller network to grow in this market,” said Jerome Belan, CEO PNY EMEA.
“As enterprises adopt AI to advance their businesses, customers are seeking integrated solutions that simplify end-to-end development and deployment,” said Carlo Ruiz, EMEA director of AI Data Center Solutions and Operations at NVIDIA. “NVIDIA, PNY and NetApp have a long history of working together to power our customers’ most challenging projects, and our expanded collaboration brings customers more options for accelerated computing that meet the requirements of today’s challenging AI initiatives.”
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