Published on October 24, 2023, 6:50 pm

Businesses Embrace Generative Ai And Hybrid Cloud For Enhanced Security And Flexibility

TLDR: According to George Kurian, CEO of NetApp, businesses are increasingly embracing generative AI and hybrid cloud approaches for enhanced security and flexibility. While public cloud solutions initially attract businesses when exploring generative AI, a hybrid cloud approach becomes preferable in the long run due to its flexibility. The decision to prioritize on-premises or multi-cloud architectures depends on each organization's circumstances. Larger companies in critical industries typically choose on-premises data architectures for maximum safety and security, while smaller businesses can benefit from a blended hybrid approach using multiple clouds. Collaboration is also easier in the cloud compared to managing it internally. NetApp has integrated its flash storage option with ONTAP AI architecture to support customers in developing AI tools within a hybrid cloud environment. The adoption of hybrid cloud solutions is increasing globally, with 48% of tech leaders adopting a hybrid approach in 2022 compared to 40% in 2020.

Businesses Embrace Generative AI and Hybrid Cloud for Enhanced Security and Flexibility

Generative artificial intelligence (AI) and hybrid cloud approaches are aligning at the ideal moment for organizations worldwide, according to George Kurian, CEO of NetApp. During the NetApp Insight conference in Las Vegas, Kurian emphasized that hybrid cloud enables businesses to fine-tune their generative AI strategies before entering the market, resulting in more robust, secure, and consumer-ready services.

When exploring generative AI-powered tools, services, or platforms, businesses initially tend to gravitate towards public cloud solutions. However, in the long run, a hybrid cloud approach becomes the preferred model for hosting generative AI workloads due to its flexibility. As Kurian stated to ITPro: “I think the hybrid cloud is a classic AI business use case. Customers will want to try proof of concepts on the public cloud where all the modern tools are available, and once they understand which makes sense, they can scale it in their own data center.”

The decision on whether to prioritize on-premises or multi-cloud architectures depends entirely on each organization’s unique circumstances. Larger companies operating in critical industries typically opt for on-premises data architectures to ensure maximum safety and security. On the other hand, smaller businesses can benefit from a blended hybrid approach using multiple clouds.

Kurian acknowledged that different models will be adopted by different categories of customers: “For those that are large and regulated, they’ll do everything on-prem. For those that are smaller and more agile, they’ll probably do everything on [the] cloud and get a blend.” Additionally, he highlighted how collaboration across organizations is easier in the cloud compared to managing it internally: “So if you are a research institution collaborating with another on an AI tool chain, it might be easier to do it on the public cloud rather than your own data center environments.”

NetApp’s efforts to combine generative AI and hybrid cloud practices align with VMware’s focus on supporting organizations in harnessing multi-cloud capabilities to drive generative AI innovation. NetApp has integrated its AFF C-Series capacity flash storage option with ONTAP AI architecture, further assisting customers in developing AI tools within a hybrid cloud environment.

The global business community is increasingly realizing the advantages of hybrid cloud solutions, including the ability to transfer applications and workloads between clouds and data centers. According to a study by Google, 48% of tech leaders revealed that they were mostly adopting a hybrid approach in 2022, compared to only 40% in 2020. This shift indicates a gradual but ongoing trend towards hybrid cloud adoption.

In conclusion, businesses are recognizing the benefits of combining generative AI and hybrid cloud strategies. By leveraging the flexibility offered by hybrid cloud environments, organizations can refine their generative AI approaches and deliver secure and consumer-ready services.

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