Microsoft Research Cambridge is pioneering the next generation of cloud storage systems, moving beyond archival solutions. The team previously developed Project Silica, a long-lasting data storage method using laser-inscribed glass. Now, the focus is on 'hotter' data, leveraging recent advancements in AI and machine learning to enhance storage capabilities.
The initiative aims to address the growing demand for low-cost, sustainable storage in power-constrained data centers. By innovating at the media layer and rethinking how data is written and read, the project seeks to revolutionize online cloud data storage. This clean-slate design will also tackle traditional storage challenges like workload characterization and error management.
• Microsoft Research is rethinking cloud storage using AI and machine learning.
• Project Silica aims to innovate beyond archival storage solutions.
Recent advances in machine learning are being utilized to enhance cloud storage systems.
The project leverages AI to rethink storage devices for online cloud data.
The focus is on innovating data storage techniques to meet modern demands.
Microsoft is at the forefront of developing innovative storage solutions through its research initiatives.
Datacenter Dynamics 13month
Isomorphic Labs, the AI drug discovery platform that was spun out of Google's DeepMind in 2021, has raised external capital for the first time. The $600
How to level up your teaching with AI. Discover how to use clones and GPTs in your classroom—personalized AI teaching is the future.
Trump's Third Term? AI already knows how this can be done. A study shows how OpenAI, Grok, DeepSeek & Google outline ways to dismantle U.S. democracy.
Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.