This episode will be available to stream at 9:00am ET

Workload placement in 2027 has become increasingly complex as operators balance traditional enterprise applications, AI training clusters, and latency-sensitive inference workloads. From centralized hyperscale campuses to distributed infrastructure, placement decisions now depend on workload type, power availability, latency requirements, and the ability to monitor and manage infrastructure in real time. This episode will explore the factors shaping workload placement into 2027 and beyond, including:

• How workload requirements differ between traditional IT, AI training, and inference environments
• Choosing the right deployment model from centralized, distributed and hybrid architectures
• Using monitoring software to manage distributed workloads effectively
• Balancing compliance, resiliency, and cost considerations