Vapor IO Partners with AlefEdge to Enable Edge Computing Over Private Wireless Networks Nationwide – AiThority

Partnership unleashes a new wave of “near-prem” mobile services; available first in Pittsburgh and Atlanta

Vapor IO, creators of the Kinetic Edge platform, the first fully-integrated hardware and software platform for edge colocation, exchange and networking services, and AlefEdge, the edge Internet leader who provides a Software-Defined Mobile Edge (SD-ME) platform and APIs for enterprises and developers, announced that they will be rolling out their SD-ME services on the Kinetic Edge platform, nationwide. The Software Defined Mobile Edge allows enterprises to deploy edge computing on top of private wireless networks, creating a low-cost path to edge-enabled mobile applications, such as factory robotics, IoT, and other use cases that benefit from applications delivered at the edge of the network.

Recommended AI News: Revbits Announces Issuance Of US Patent For Unique Product Security Architecture Using Zero-Knowledge Encryption

The combined platforms provide a powerful system for deploying edge computing services onto private networks, including existing LTE, CBRS and Wi-Fi networks, as well as forthcoming 5G networks. The combination of Vapor IO’s Kinetic Edge infrastructure and Alef Edge’s SD-ME platform provides the critical architecture to support Enterprise customers with ‘near-prem’ requirements that demand ultra-low latency and high bandwidth. Available first in Pittsburgh and Atlanta, SD-ME enables 5G-style immersive and intelligent applications to work over contemporary business environments.

“A programmable mobile Edge has been out of reach for most of today’s enterprises because of the complexity of both deployment and application development,” said Ganesh Sundaram, CEO of AlefEdge. “Placing our service atop Vapor IO’s Kinetic Edge platform enables us to quickly deploy nationally and support ‘near prem’ workloads in the top 36 US Markets. Our services allow enterprises to leverage shared resources while maintaining the benefits of on-prem IT without the overhead of on-site management. The Kinetic Edge platform offers the most performant and resilient edge computing network, with a consistent experience across geographies.”

Related Posts

Recommended AI News: AFWERX Announces Hazardous Software Among Top Selected Teams Across The Globe Vying To Build The Base Of The Future

Software-Defined Mobile Edge

The AlefEdge SD-ME platform and APIs provide enterprise customers with the tools they need to digitally transform their businesses with mobile edge computing. This architecture is critical to implementing remote work policies and edge-enabled applications, all while optimizing performance and ensuring security. Alef’s SD-ME platform creates a 5G-like experience without the expense or complexity of 5G, leveraging the enterprise’s existing networks. This platform provides an open programmable toolkit for developers to program the network layer as well as the application layer for anything they want it to do. The programmable layer is easy to use through APIs, connectors and SDKs. Examples of software-based improvements for the enterprise include secure mobile breakout, edge peering, as well as orchestration.

The SD-ME platform allows developers and systems integrators to create edge-enhanced applications as well as edge-native applications. Edge-enhanced applications are current applications that are transformed by the edge, such as enterprise video services, augmented reality training, and enhanced real time bidding for digital advertising for quicker and a more transparent process. Edge-native applications are new applications that are not possible without the edge. Some examples of edge native applications include real time actions for drones through upstream video analytics, wireless robotics and machines for unmanned control, as well as IoT data collection for real time insights and actions.

Recommended AI News: Falcon Insurance Company Chooses Shift Technology For Fraud Detection

This UrIoTNews article is syndicated fromGoogle News