TPU Inference Servers for Efficient Edge Data Centers - DOWNLOAD

Kaloom, Red Hat collaborate on efficient mobile network, edge computing services

Kaloom, an edge technology solutions provider, has joined hands with Red Hat to announce the availability of its Unified Edge Fabric. The edge solution for distributed edge computing integrates Red Hat OpenShift, an enterprise container orchestration platform, with Kaloom’s Unified Edge Fabric, which the companies say will help simplify the operation of networks for service providers while freeing up resources to run revenue-generating applications.

Recently, Red Hat announced the expansion of cross-portfolio edge solutions to the Red Hat Edge initiative through the Red Hat OpenShift Kubernetes platform. The integration of Red Hat OpenShift and Kaloom’s Unified Edge Fabric will allow network, compute, and storage nodes to share the same underlying container-based execution environment. The solution also enables the simplification of complex networks and accelerates the transformation from virtualized infrastructure to containerized one.

“In collaboration with Red Hat, we are excited to deliver on our shared vision and promise of Unified Edge,” says Laurent Marchand, Kaloom CEO. “Our integrated solution solidifies the Kaloom Unified Edge Fabric for edge data centers based on open, containerized networking principles with Red Hat OpenShift as the basis of a unified solution for network, compute, and storage,” he adds.

The combined offering is built on Kaloom’s Cloud Edge Fabric, which is designed for both 4G and 5G applications at the data center edge while providing support for network slicing and embedded 5G user plane function. The concept of 5G network slicing allows multiple networks to be deployed on top of a common underlying physical infrastructure. The solution includes multi-tenancy through vFabric-based slicing, supporting hardware-level security. The end result is that operators can run multiple networks for diverse services ranging from CDN to robotics controls alongside cellular voice and other services, and do so cost-effectively.


A comparison of a typical edge datacenter rack compared to Kaloom’s UEF
Source: Kaloom

“Kaloom’s unified edge platform is promising to improve the efficiency at Multi-Access Edge sites and consolidate multiple technologies and application silos,” says Jérôme Birot, VP in the Chief Technology Office at Telus. “The reduced 5G UPF space will further enable edge computing use cases. We look forward to evaluating this new solution and working closely with Kaloom to further enable our DevOps vision in gaining flexibility and agility, and delivery on our customer first promise,” he says.

Kaloom claims there are a number of performance enhancements with the offering such as a 2X increase in per-server throughput, a 7X reduction in latency between virtual machines in the same rack, and up to a ten-fold improvement in the network efficiency. This fully-programmable software-based networking fabric solution will be available in the early Q3 of 2022 and is currently under evaluation by several service providers.

Analysis

“Communication service providers (CSPs) face mounting pressure to become more agile and deliver a wider range of services from the edge to the cloud,” says Dave McCarthy, vice president for IDC’s worldwide infrastructure practice.

“They must also contend with rapidly increasing traffic volumes driven by the rise of 5G. In order to effectively manage this influx of traffic, CSPs must rethink their approach to the edge and adopt new technologies and strategies that can efficiently handle growing bandwidth demands while meeting strict latency requirements. Kaloom and Red Hat’s joint Unified Edge solution addresses these challenges as they transition from Virtualized to containerized infrastructure and application services. The joint innovative solution enables CSPs to transform and deploy new services quickly and efficiently while reducing costs and ensuring a high level of performance and quality of service.”

Article Topics

 | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured Edge Computing Company

Edge Ecosystem Videos

Latest News