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Moving data between environments can add cost and complexity to AI infrastructure

Techstrongai reshared @ContainerJrnl's point that moving data between environments can add cost to AI infrastructure.

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2 Sources, 3h ago, first seen 3h ago

TLDR

@ContainerJrnl says moving data between environments can add cost and complexity to AI infrastructure. Techstrongai reshared the post.

Combined views

185

2 Sources, first seen 3h ago

4 likes1 comments1 saves4 reposts

Combined views

185

2 Sources, first seen 3h ago

4 likes1 comments1 saves4 reposts
Image: @ContainerJrnl on X

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2 Sources

Cloud Native Now@ContainerJrnlMoving data between environments can add cost and complexity to AI infrastructure. The Futurum Group’s @brad_shimmin explains that when a third-party engine runs on top of a hyperscaler, organizations can face another layer of margin along with network egress fees as data crosses boundaries. Bringing the workload to where the data already lives offers a different approach, reducing unnecessary movement while keeping the architecture closer to the data it depends on. That principle becomes especially relevant as enterprises prepare their infrastructure for more agent-driven workloads. Hear more from @TheFuturumGroup and @googlecloud on data gravity, infrastructure choices, and the foundation for agentic AI in the full on-demand session: https://bit.ly/4jFcNay #AIInfrastructure #GoogleCloud #DataCloud #AgenticAI3h
Techstrong.ai@TechstrongaiRT @ContainerJrnl: Moving data between environments can add cost and complexity to AI infrastructure. The Futurum Group’s @brad_shimmin ex…3h
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    2 Sources

    Cloud Native Now@ContainerJrnlMoving data between environments can add cost and complexity to AI infrastructure. The Futurum Group’s @brad_shimmin explains that when a third-party engine runs on top of a hyperscaler, organizations can face another layer of margin along with network egress fees as data crosses boundaries. Bringing the workload to where the data already lives offers a different approach, reducing unnecessary movement while keeping the architecture closer to the data it depends on. That principle becomes especially relevant as enterprises prepare their infrastructure for more agent-driven workloads. Hear more from @TheFuturumGroup and @googlecloud on data gravity, infrastructure choices, and the foundation for agentic AI in the full on-demand session: https://bit.ly/4jFcNay #AIInfrastructure #GoogleCloud #DataCloud #AgenticAI3h
    Techstrong.ai@TechstrongaiRT @ContainerJrnl: Moving data between environments can add cost and complexity to AI infrastructure. The Futurum Group’s @brad_shimmin ex…3h
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