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Optimizing enterprise IT: A new framework for workload placement for the next phase of the digital economy

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As enterprise IT environments continue to evolve, organizations are taking a broader view of deployment choices, trending toward complementary, integrated and interconnected sets of distributed IT resources. Workload placement and migration decisions are more strategic, aligned toward enabling agility, competitiveness, compliance and innovation. Rapid infrastructure modernization and growing AI demands are driving a more nuanced approach of “best execution venue" for diverse workload requirements.

Dive into details of a decision-making framework that helps navigate the trade-offs between performance, security and cost and discover why private cloud and colocation are emerging as preferred venues for AI and high-performance workloads.

Read this paper for actionable insights on how you can architect an IT estate that prioritizes best business outcomes for each workload.

Highlights:

  • 58% of organizations said that in the next two years, their generative AI deployments will be mostly or entirely in private cloud environments—discover why hybrid IT is the future.
  • Optimize performance, security and cost which are critical factors determining workload deployment and migration decisions.
  • Explore the benefits of colocation for high performance via interconnection and latency control as well as cost reduction through resource optimization.
  • Enable modern IT environments that can operate across multiple infrastructure venues to accommodate shifts in priorities and support business outcomes efficiently, securely and cost-effectively.