Data storage has always been a key tenet of compute, and with the massive growth in cloud compute, the demand for cloud data storage has opened an avenue for both revisiting prior technologies and developing new ones. It is projected that around 125 zettabytes of data will be generated annually by 2024, and storing this in a cost-effective way is going to be a big challenge. By Benn Thomsen , Senior Principal Researcher Dushyanth Narayanan , Senior Principal Researcher Ant Rowstron , Distinguished Engineer / Deputy Lab Director.
The cloud has also changed the way we think about compute and storage. In the cloud, services are virtualized. In cloud data storage, for example, customers pay for storage capacity and access rate rather than for physical storage devices.
The massive growth we see in the cloud today has been largely powered by advances in integrated electronics. Looking forward, however, these advances are stalling.
In the article you will find more information on:
- How does holographic storage work?
- So why revisit holographic storage as a solution for the cloud?
- Bringing holographic storage to the present with commodity hardware and deep learning
- Looking forward: Scaling up optical storage solutions for the cloud
It is exciting to see how the team has exploited machine learning on high resolution images to do in software what previously required expensive optics or could not be done at all, pushing the holographic storage performance beyond the state of the art. Great!
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