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    Power AI Workloads

    Access to data is the top reason why AI projects fail. Most AI workloads span multiple environments, ranging from on-premises systems to edge devices and the cloud. That complexity creates bottlenecks in moving, managing, and protecting data. This infographic shows how NetApp enables organizations to power hybrid AI with secure data access, seamless mobility, and intelligent infrastructure. View the infographic to understand what's needed to connect distributed data to your AI pipeline. For personalized support on building hybrid AI infrastructure, contact Derive Technologies.

    Power AI Workloads published by Derive Technologies

    Derive Technologies, was founded in 2000 through the combination of two long-standing technology firms dating back as far as 1986; and incorporated as “Derive Technologies” in the beginning of 2001. Derive's team -- all of them already long-time collaborators at the time of the company's official founding -- continue to design and deliver progressive business-technology solutions that meet the challenges of New York Metro Area, national, and global enterprises, with a focus on on-going cost reduction. Starting as a local system integrator, Derive grew to become a value-added enterprise reseller (VAR), and, now, a recognized national and international IT business consultancy.