Red Hat and Amazon Web Services (AWS) have just signed a strategic collaboration agreement (SCA) to scale the viability of open source solutions in the AWS Marketplace, expanding thelong-term relationshipthe two companies. In this extension of the partnership, the leading open source company seeks to provide new technologies to a new range of clients and partners, including theRed Hat Enterprise Linux AI (RHEL AI), Red Hat OpenShift AIandRed Hat OpenShift Virtualization, to address essential business needs for application modernization, migration of virtual machines (VM) and artificial intelligence (AI) deployments.
For Stefanie Chiras, senior vice president for the Partner Ecosystem Success area, the new phase of the partnership with AWS symbolizes more benefits for customers. “.Now, we are extending this choice and flexibility not only to 'where' an organization runs its applications, but also 'how', from containers to virtual machines, everyone using the same platform. AND, as AI becomes the next critical business IT decision, we are making optionality a reality in accelerated computing infrastructure, allowing customers to select the hardware accelerators that make the most sense for their unique hybrid cloud AI strategies and workloads.”, said
Powering Virtualized Workloads on Modernized Infrastructure
As many organizations face uncertainties and increasing costs to manage their virtual infrastructure, they are navigating significant migrations to VMs in complex IT scenarios. To help address these needs, Red Hat is providing a unified experience for customers to more easily migrate VMs and containerized workloads with greater consistency and scalability, as these organizations begin to implement modern platforms and infrastructure in their journey towards AI
This effort includes driving support for theRed Hat OpenShift Service on AWS, a fully managed ready-to-use application platform, to help customers toUse OpenShift Virtualization without challengesin your AWS environments. This helps to accelerate VM migrations and application modernization initiatives and includes support for virtualized Windows workloads on OpenShift Virtualization via Red Hat OpenShift Service on AWS. Furthermore, theRed Hat OpenShiftwill operate as a self-managed AWS EC2 offering on bare-metal instances (classic servers) to provide customers with greater flexibility in deploying virtualized and containerized workloads.
With the addition of OpenShift Virtualization and thevirtualization migration toolkit, Red Hat OpenShift, facilitates the migration of VMs. The solution was designed with the cloud in mind for complete automation for day one deployments and includes self-recovery and reconciliation, applied to both containers and VM workloads. Running OpenShift Virtualization on AWS EC2 in bare metal instances, VM workloads can maintain similar levels of performance and redundancy, but operating on a more modern platform, allowing VMs and containers to interact directly with underlying hardware and infrastructure to minimize administrative overhead and eliminate the need for a traditional hypervisor layer
Unlocking the next era 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 on the AWS Marketplace, including "bring your own subscription" and private offers supporting NVIDIA's accelerated computing and software, including the validation of the NVIDIA AI Enterprise software platform and NVIDIA NIM, a set of easy-to-use microservices, designed for the safe and reliable deployment of high-performance AI model inference. Red Hat has offers for AI accelerators and additional GPUs from leading chip vendors like AMD and Intel. This allows organizations to enjoy predefined AI functionalities that can, so, be scaled more easily using Red Hat OpenShift AI on AWS, both in a self-managed way and through embedded service functionalities.
The collaboration will be guided by a product launch roadmap developed by Red Hat and AWS to bring these solutions to customers, as well as additional activities to better demonstrate how these offerings can be used in cloud environments to meet the business needs of an organization
