Powering the world’s first virtualized cable access network, Harmonic's CableOS™ cloud-native solution brings faster internet speeds to consumers while simultaneously reducing the space, power and other cost constraints that typically impede growth for cable operators.
Cloud-native cable access solution already deployed at scale
Migration path from centralized/HFC deployment to DAA
Improved gigabit service scalability and cost efficiency
Harmonic’s CableOS™ virtualized CCAP solution is the industry’s only software-based Cable Modem Termination System (CMTS) and the first end-to-end Remote PHY system, delivering unparalleled scalability, agility and cost savings. Watch the video now!
The ever-increasing requirement for more data and video continues to grow exponentially — particularly with the rise of over-the-top (OTT) video streaming, Ultra HD (UHD) video with high dynamic range (HDR), and data-intensive applications such as virtual reality and the Internet of Things (IoT). This paper examines this very approach utilizing Intel-based COTS servers, including the benefits and longterm potential for cable operators as it applies to both distributed and centralized CCAP architectures.
To learn more about NCTC's new agreement with Harmonic, or to find out how you can deploy CableOS™, contact Melissa Scheve, our Director of Strategic Procurement, at firstname.lastname@example.org 913-310-1558.
When looking at vendors for our DOCSIS 3.1 and Remote PHY deployment, the scalability and licensing model provided by Harmonics Cable OS solution made it an easy choice. Harmonic's Cable OS enabled us to collapse 7 CMTSs to one platform, cutting down on maintenance while allowing us to add DOCSIS 3.1 and Remote PHY to our network.
From service groups to speed upgrades to technology (i.e. 3.0 vs R-PHY vs 3.1), it just made sense for us. Especially, given the need to compete with FTTH in many areas of our system over our existing network. Secondly, the Harmonic team is really skilled and pretty much took care of the whole installation, which really sped up deployment time.