NetApp has acquired AI data infrastructure startup DataPelago to embed GPU-accelerated intelligence directly into the storage layer and enable zero-copy activation of enterprise data for AI and analytics workloads.
The deal expands NetApp’s portfolio with DataPelago’s Nucleus universal data processing engine that uses heterogeneous accelerated computing across CPUs and GPUs to process data where it lives.
It addresses the bottleneck enterprises are facing in preparing, governing and activating their data fast enough to put AI into production.
By processing data at the storage layer instead of moving it to external compute clusters, Nucleus reduces infrastructure costs by up to 80 percent and delivers performance up to 10 times faster than conventional approaches. Not requiring enterprises to copy data from operational systems to AI-systems eliminates the single biggest bottleneck in enterprise AI deployment.
“As AI models and the chips that power them get ever more effective, enterprises need data infrastructure that is just as intelligent and powerful to harness the potential of their data. With DataPelago, we are extending our ability to help customers understand and process their data with the agility required to unleash competitive advantage,” said George Kurian (top), CEO of NetApp.
“Enterprises have invested billions in GPUs and AI models, but their data remains fragmented, leaving valuable computing resources to sit idle rather than putting these investments to work. Together, we’re positioned to help customers simplify and accelerate AI deployment at scale,” said Rajan Goyal, Founder and CEO of DataPelago, which will operate as a wholly owned subsidiary of NetApp following the acquisition.
Entelechy Asia 