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Bye-Bye Public Cloud: Enterprises Take Back Control of AI

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Manage episode 498995455 series 3660640
内容由David Linthicum提供。所有播客内容(包括剧集、图形和播客描述)均由 David Linthicum 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

A significant shift is occurring in how organizations approach AI workloads, as many CIOs are reevaluating their reliance on public cloud services. With rising costs and escalating concerns about data privacy, companies are increasingly favoring private cloud and on-premises solutions for their AI strategies. A recent survey indicates that 67% of enterprise leaders plan to move some AI data to non-cloud environments within the next year, reflecting a growing need for cost predictability and improved security.

The video highlights the trend toward private cloud spending, which is outpacing public cloud investments. Organizations running consistent AI workloads can achieve substantial cost savings by investing in dedicated GPU resources rather than relying on rental models in public clouds. This shift signifies a broader strategy that prioritizes ownership and control over sensitive data, as many organizations navigate regulatory compliance challenges.

  continue reading

95集单集

Artwork
icon分享
 
Manage episode 498995455 series 3660640
内容由David Linthicum提供。所有播客内容(包括剧集、图形和播客描述)均由 David Linthicum 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

A significant shift is occurring in how organizations approach AI workloads, as many CIOs are reevaluating their reliance on public cloud services. With rising costs and escalating concerns about data privacy, companies are increasingly favoring private cloud and on-premises solutions for their AI strategies. A recent survey indicates that 67% of enterprise leaders plan to move some AI data to non-cloud environments within the next year, reflecting a growing need for cost predictability and improved security.

The video highlights the trend toward private cloud spending, which is outpacing public cloud investments. Organizations running consistent AI workloads can achieve substantial cost savings by investing in dedicated GPU resources rather than relying on rental models in public clouds. This shift signifies a broader strategy that prioritizes ownership and control over sensitive data, as many organizations navigate regulatory compliance challenges.

  continue reading

95集单集

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