“Prospects are searching for quicker, safer methods to maneuver large datasets to allow them to deliver AI initiatives to life,” stated Sachin Menon, Oracle’s vice chairman of cloud engineering, in a statement. “With Riverbed Information Categorical Service deployed on OCI, organizations will be capable of speed up time to worth, cut back prices, and assist make sure that their knowledge stays protected.”
Riverbed’s Aras explains that its Information Categorical Service makes use of post-quantum cryptography (PQC) to maneuver petabyte-scale datasets by way of safe VPN tunnels to make sure that buyer knowledge stays protected throughout the switch course of. The expertise is predicated on Riverbed’s SteelHead acceleration platform working RiOS 10 software program.
“Our cloud-optimized expertise design delivers a lot greater knowledge retrieval, knowledge motion throughout the community, and knowledge write charges, by way of extremely performant knowledge mover situations, occasion parallelization and matched community cloth configurations. The design is tailor-made for every cloud, to make sure maximal efficiency will be achieved utilizing cloud-specific product changes,” Aras says.
“The time for stopping harvest-now, decrypt-later is now,” Aras says, referring to the safety risk the place encrypted knowledge is intercepted and saved for decryption as soon as quantum computer systems turn out to be highly effective sufficient. The Riverbed service addresses use instances spanning AI mannequin coaching, inference operations, and rising agentic AI functions.
Information Categorical is initially deployed on Oracle Cloud Infrastructure, however Riverbed stated the service will orchestrate knowledge motion throughout AWS, Azure, and Google Cloud Platform, in addition to on-premises knowledge facilities. Basic availability is deliberate for This autumn 2025.
