PADO and VESSL Partner to Develop Energy-Aware MLOps for AI Workloads
PADO and VESSL have partnered to develop a grid-aware MLOps solution aimed at optimizing AI workloads in data centers while minimizing energy consumption. The initiative will facilitate automated workload shifts to renewable energy, dynamic routing based on grid conditions, and the monetization of flexible compute resources, addressing the rising demand for AI that spurred $61 billion in global data center investments last year.
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PADO and VESSL announced a partnership to create a grid-aware MLOps solution for managing AI workloads in data centers. The collaboration aims to reduce energy impact while maximizing compute efficiency.
The solution will enable automated workload shifts to renewable energy, dynamic routing based on grid conditions, and monetization of flexible compute resources. This initiative responds to the growing demand for AI, which led to $61 billion in global data center investments last year and a 55% increase in AI usage across industries.
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