sustainability
-
MayimFlow: Preventing Data Center Water Leaks
Read Full Article: MayimFlow: Preventing Data Center Water Leaks
MayimFlow, a startup founded by John Khazraee, aims to prevent water leaks in data centers before they occur, using IoT sensors and machine learning models to provide early warnings. Data centers, which consume significant amounts of water, face substantial risks from even minor leaks, potentially leading to costly downtime and disruptions. Khazraee, with a background in infrastructure for major tech companies, has assembled a team experienced in data centers and water management to tackle this challenge. The company envisions expanding its leak detection solutions beyond data centers to other sectors like commercial buildings and hospitals, emphasizing the growing importance of water management in various industries. This matters because proactive leak detection can save companies significant resources and prevent disruptions in critical operations.
-
AI Optimizes Cloud VM Allocation
Read Full Article: AI Optimizes Cloud VM Allocation
Cloud data centers face the complex challenge of efficiently allocating virtual machines (VMs) with varying lifespans onto physical servers, akin to a dynamic game of Tetris. Poor allocation can lead to wasted resources and reduced capacity for essential tasks. AI offers a solution by predicting VM lifetimes, but traditional methods relying on single predictions can lead to inefficiencies if mispredictions occur. The introduction of algorithms like NILAS, LAVA, and LARS addresses this by using continuous reprediction, allowing for adaptive and efficient VM allocation that improves resource utilization. This matters because optimizing VM allocation is crucial for economic and environmental efficiency in large-scale data centers.