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 GingerSec.
The main reason AI projects fail is due to poor data access. Ensuring that data is easily accessible across various environments—on-premises, edge, and cloud—is crucial for the success of AI initiatives.
How does NetApp support hybrid AI workloads?
NetApp provides an intelligent data infrastructure that enables consistent data management across on-premises and major public cloud environments. This includes efficient data storage, copying, and movement, which helps reduce the risk of data loss or cyberattacks.
What security features does NetApp offer?
NetApp offers several security features, including real-time ransomware detection, guaranteed recovery, data encryption, and tamperproof snapshot copies. These measures help safeguard data both in transit and at rest, ensuring robust data governance across the AI pipeline.
Power AI Workloads
published by GingerSec
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