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Navigating Cloud Networking And The Cost Dilemma In The Age Of AI

Dec 17, 2024 - forbes.com
The article discusses the increasing reliance of enterprises on cloud computing, particularly in the context of rising costs driven by artificial intelligence (AI) and energy demands. As AI workloads require significant computing power, industries across various sectors are adopting AI technologies, leading to escalating cloud expenses. Companies are rethinking their cloud strategies to accommodate these costs, focusing on multicloud networking (MCN) to enhance flexibility, security, and cost-effectiveness. MCN strategies involve distributing infrastructure across multiple cloud providers, allowing businesses to avoid vendor lock-in and leverage a mix of services for better business continuity and resilience.

The article emphasizes the importance of cloud independence, advising organizations to avoid vendor lock-in and seek MCN providers that maintain control over investments. It highlights the need for transparent billing models and network architectures that facilitate easy data movement without incurring additional fees. The piece also stresses the significance of integrating firewalls and supporting hybrid environments to ensure flexibility and adaptability in response to evolving regulatory and business needs. By prioritizing flexibility in deployment and provider choice, enterprises can manage rising cloud costs while maintaining efficiency and security.

Key takeaways:

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  • The increasing reliance on cloud computing, particularly for AI workloads, is driving up costs due to high energy demands and infrastructure needs.
  • Multicloud networking (MCN) strategies can help enterprises optimize costs by distributing infrastructure across multiple cloud providers, enhancing flexibility and bargaining power.
  • Enterprises should focus on transparent and predictable billing models to avoid vendor lock-in and manage costs effectively.
  • A robust cloud independence strategy should include scalable security solutions and support hybrid environments to adapt to evolving regulatory and business needs.
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