AI optimization: How we cut energy costs in social media recommendation systems

When you scroll through Instagram Reels or browse YouTube, the seamless flow of content feels like magic. But behind that curtain lies a massive, energy-hungry machine. As a software engineer working on recommendation systems at Meta and now Google, I’ve seen firsthand how the quest for better AI models often collides with the physical limits…

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Cloud Cloning: A new approach to infrastructure portability

When it comes to cloud infrastructure portability, the reigning solutions just don’t live up to their promise. Infrastructure as code (IaC) solutions like Terraform shoehorn nuanced infrastructure into too-broad terms. Cloud provider offerings like Azure Migrate, AWS Migration Services, and Google Cloud Migrate generally don’t translate native workloads into competitors’ clouds. And governance tools are…

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Multi-token prediction technique triples LLM inference speed without auxiliary draft models

High inference latency and spiraling GPU costs have emerged as the primary bottlenecks for IT leaders deploying agentic AI systems. These workflows often generate thousands of tokens per query, creating a performance gap that current hardware struggles to bridge. Now, researchers from the University of Maryland, Lawrence Livermore National Labs, Columbia University, and TogetherAI say…

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The Future Is Now With AIOps: Transforming IT Operations In Volatile Times

AIOps is changing the game for IT teams — helping them make smarter decisions, bounce back faster from issues, and keep customers happy. Find out how businesses are using it to stay ahead in today’s fast-moving world. Go to Source Author: Carlos Casanova

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