Red Hat and Amazon Web Services (AWS) have signed a strategic collaboration agreement (SCA) to scale the viability of open source solutions in the AWS Marketplace, expanding thelong-term relationshipof the two companies. In this extension of the partnership, the open-source leading company aims to provide new technologies to a new set of clients and partners, including theRed Hat Enterprise Linux AI (RHEL AI), Red Hat OpenShift AIandRed Hat OpenShift Virtualizationto address essential business needs for application modernization, virtual machine (VM) migration, and artificial intelligence (AI) deployments.
For Stefanie Chiras, senior vice president for Partner Ecosystem Success, 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, all using the same platform. And as AI becomes the next critical enterprise IT decision, we are making optionality a reality in accelerated computing infrastructure, allowing customers to select the hardware accelerators that best align with their strategies and unique hybrid cloud AI workloads," he said.
Powering Virtualized Workloads on Modernized Infrastructure
As many organizations face increasing uncertainties and 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 on their AI journey.
This effort includes driving support for theRed Hat OpenShift Service on AWS, a fully managed, turnkey application platform to help customersUse OpenShift Virtualization without challengesin your AWS environments. This helps to streamline 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 OpenShiftIt will 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 VM migration. The solution was designed with the cloud in mind for full automation for day-one deployments and includes self-healing and reconciliation, applied to both containers and VM workloads. Running OpenShift Virtualization on AWS EC2 on bare metal instances, VM workloads can maintain similar levels of performance and redundancy, but operate 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 secure and reliable deployment of high-performance AI model inference. Red Hat has offers for AI accelerators and additional GPUs from leading chip suppliers like AMD and Intel. This allows organizations to enjoy pre-established AI functionalities that can then be scaled more easily using Red Hat OpenShift AI on AWS, both in a self-managed way and through embedded service features.
The collaboration will be guided by a product release 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 an organization’s business needs.
