Red Hat, Inc., the world’s leading provider of open source solutions, announced that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services (AWS) to scale availability of Red Hat open source solutions in AWS Marketplace, building upon the two companies’ long-standing relationship. Red Hat intends to help empower organizations with leading hybrid cloud platforms, including Red Hat Enterprise Linux AI (RHEL AI), Red Hat OpenShift AI and Red Hat OpenShift Virtualization, on AWS infrastructure to address critical business needs for application modernization, virtual machine (VM) migration and artificial intelligence (AI) deployments.
Powering virtualized workloads on modernized infrastructure
As many organizations today face uncertainty and rising costs in the management of their virtual infrastructure, they are navigating significant migrations for VMs across complex IT landscapes. At the same time, organizations are increasingly prioritizing AI to maintain differentiation and stay competitive. To help address these needs, Red Hat is providing a unified experience for customers to more easily migrate VMs and containerized workloads side-by-side to the cloud with greater consistency and scalability, while also providing the modern platforms and infrastructure to support next-generation AI workloads.
This effort includes bolstering support for Red Hat OpenShift Service on AWS, a fully managed turnkey application platform, to help customers more seamlessly use OpenShift Virtualization in their AWS environments. This helps to streamline VM migrations and application modernization initiatives, and includes support for Windows virtualized workloads on OpenShift Virtualization via Red Hat OpenShift Service on AWS. In addition, Red Hat OpenShift will run as a self-managed offering on AWS EC2 bare metal instances to offer customers greater flexibility in deploying virtualized and containerized workloads.
Red Hat OpenShift, with the inclusion of OpenShift Virtualization and the migration toolkit for virtualization, allows for easier migration of VMs. The solution is designed with the cloud in mind for full automation from day one deployments and includes auto-healing and reconciliation, applied to both containers and VM workloads. By running OpenShift Virtualization on AWS EC2 bare metal instances, VM workloads can maintain similar levels of performance and redundancy while running on a more modern platform, allowing VMs and containers to interact directly with underlying hardware and infrastructure to minimize administrative overhead and eliminating the need for a traditional hypervisor layer.
Lastly, when migrating at scale, Red Hat Ansible Automation Platform can work with the migration toolkit for virtualization to reduce the time it takes for large migrations. Red Hat Ansible Automation Platform Service on AWS, available in AWS Marketplace, makes automation quicker and easier, allows migration at scale and automates day 2 operations for the VM workloads after migration.
Unlocking the next generation of AI innovation
As part of this collaboration, Red Hat is enhancing the availability of solutions such as RHEL AI and Red Hat OpenShift AI in AWS Marketplace, including “bring your own subscription” (BYOS) and private offers, supporting NVIDIA accelerated computing and software, including the validation of NVIDIA AI Enterprise software platform and NVIDIA NIM, a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inferencing. Red Hat has offerings for additional AI accelerators and GPUs from leading chip providers like AMD and Intel. This will help provide organizations with ready-made AI capabilities that can then more easily be scaled using Red Hat OpenShift AI on AWS, either self-managed or through the services’ built-in capabilities.
This collaboration will be driven by a go-to-market roadmap developed by Red Hat and AWS to bring these solutions to customers as well as additional activities to further demonstrate how these offerings can be used across cloud environments to meet an organization’s business needs.
SOURCE: BusinessWire