The data center is a series of networks. There are networks that connect servers to users and networks that connect storage to servers. Even within servers and storage there are networks to connect CPU to IO devices like flash drives or hard disk drives. The more often these networks need to be traversed the more latency is introduced into the environment. Modern applications excel in low latency infrastructures and as a result the quest for the lowest latency possible is never ending.
In our latest eBook, Storage Switzerland introduces readers to a new class of storage media with computational capabilities built-in, so answers can be found before the information even leaves the drive. The eBook is available as part of our 15 minute webinar “Rethinking Storage Performance for Modern Applications”.
Computational storage is especially valuable in workloads such as big data analytics, artificial intelligence and machine learning, because it enables data relevant to the query to be pinpointed on the storage media itself, so only that specific data set needs to be transported back to the host. However, use cases do not stop there. They include search and filtering queries such as grep programs, encryption and key management, and also extend to the growing number of edge data centers that are emerging with the advent of the distributed enterprise. Our eBook details all the use cases and how to implement computational storage into your environment. Register now and download your eBook as soon as the webinar starts playing.