Webinar: Acceleration with the Universal Dataplane – FD.io
The Fast Data Project, FD.io, is relentlessly focused on data IO speed and efficiency for more flexible and scalable networks and storage. As the universal data plane, FD.io is helping...
The Fast Data Project, FD.io, is relentlessly focused on data IO speed and efficiency for more flexible and scalable networks and storage. As the universal data plane, FD.io is helping...
Half-Day Tutorial: Community Information-Centric Networking (FD.io/cicn) Presented by FD.io community members from Cisco CICN is part of the open source project FD.io in the Linux Foundation. Participation in FD.io is...
The Arm ecosystem and FD.io community are actively involved, bringing unique value to the end users in terms of TCO delivered by hardware and software innovation. Join us for an...
FD.io (Fast Data) is the first truly open data plane project focusing on data IO performance, scalability, efficiency, and programmable flexibility for networking and storage. FD.io provides a modular, extensible...
The first show of the FD.io Community in China and Network Technology Meetup in 2018 organized by Intel and SDNLAB, will be held in Nanjing On March 17th. The activity will focus on the development of FD.io Community...
Join us at the FD.io Mini Summit at ONS North America in Los Angeles, CA to hear and learn from FD.io community experts who will be sharing information about...
Join the FD.io community in Copenhagen, Denmark, for a co-located FD.io Mini summit at KubeCon+CloudNativeCon. Hear and learn from FD.io and industry experts who will be sharing information about the...
Open Networking Summit, the premier open networking event in North America now in its 7th year, comes to Europe for the first time next month. ONS Europe offers 100+ sessions,...
CFP for FD.io Mini-summit at KubeCon USA OPEN
Why FD.io? Cloud Native provides application deployment speed and flexibility. Why burden it with cumbersome, sluggish networking? Let FD.io deliver the data IO speed required for flexible and scalable...