AWS Outposts for high throughput, network-intensive workloads (preview)

Run telco core network workloads on cloud infrastructure and services on premises

AWS Outposts racks built for high throughput and network-intensive on-premises workloads provide cost-efficient traffic scaling to meet the ever growing throughput demands on 5G Core UPF and RAN CU workloads. This offers telcos the flexibility to place workloads at different locations based on latency, throughput, and traffic aggregation requirements, enabling advanced 5G use-cases of the future. Telcos can use the same AWS infrastructure, services, APIs, tools, and a common continuous integration and continuous delivery (CI/CD) pipeline across their environments to reduce operational complexity, lower integration costs, and maximize new feature development velocity.

  • The AWS Outposts racks allow telcos to run high-throughput workloads with Amazon EC2 bare metal instances and a bare metal network fabric that can flexibly scale to meet increasing performance requirements.

  • The new Amazon EC2 bare metal instances in the AWS Outposts racks are built on the same AWS Nitro System that powers modern Amazon EC2 instances in AWS Regions, extending the enhanced security and performance benefits of the Nitro System to distributed telco network locations.

  • The AWS Outposts racks support pre-validated Amazon Elastic Kubernetes Service (Amazon EKS) add-ons required to automate the deployment, management, and scaling of microservices-based 5G network functions.

  • With AWS Outposts, telcos can run some AWS services locally and connect to a broad range of services available in the parent AWS Region. They can monitor their entire 5G network with a single set of AWS services, including Amazon CloudWatch, Amazon Managed Service for Prometheus, and Amazon Managed Grafana. In addition, telcos can simplify 5G network operations with advanced analytics of network metrics data using AWS analytics and machine learning services such as Amazon Athena and Amazon SageMaker.

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