Red Hat OpenShift

We use Red Hat OpenShift as a flexible MLOps platform through OpenDataHub, enabling streamlined model training, tracking, and deployment workflows. It serves as the backbone for our AI Inference Server, allowing us to scale and manage containerized inference endpoints efficiently. Additionally, Red Hat OpenShift hosts our IBM Qiskit development environment via JupyterHub, supporting quantum computing research and prototyping. This setup addresses challenges in deploying reproducible ML pipelines, managing compute resources, and integrating emerging technologies like quantum computing. The scope includes AI/ML development, automated deployment, and hybrid cloud scalability across our research and enterprise infrastructure.

• As a research-focused organization, traditional Time-to-Market isn't a key metric for us—but Red Hat OpenShift has significantly expanded our ability to explore and prototype novel AI and quantum simulation workflows without infrastructure bottlenecks.
• The integrated OpenDataHub and JupyterHub environments have improved our productivity by providing a centralized, scalable platform for AI model development and quantum computing experiments.
• Red Hat OpenShift’s strong security model and operator lifecycle management have allowed us to safely experiment with cutting-edge technologies while maintaining a stable and compliant infrastructure.
• While operational costs are higher than simpler setups, the flexibility and innovation it enables have delivered strong research ROI.

HPE Ezmeral Data Fabric (MapR) and HPE Ezmeral Machine Learning Ops

Proxmox VE, VMware vSphere, Docker, Azure AI Studio

Primarily right now we're doing with VMs. We were a Rev customer and migrated our Rev VM workloads to OpenShift virtualization. We also have our eye on the future with container environment, so it fits perfectly into what we were doing now and what we look to do in the future.

• It has allowed us to see where we need to be in the container world. I'm going to call it a net neutral impact, not negative or positive. It has given us a sense of what we are ready for and what we're not ready for. You know where you stand.
• You don't know what you don't know, so it helps us know what we want to know.

Kubernetes

Red Hat Ansible Automation Platform, Red Hat Enterprise Linux (RHEL)

The Red Hat OpenShift is used to run microsservices responsible for integrating our systems around the world and our SAP. We currently have two instances of Red Hat OpenShift, one running in Azure (ARO) and another one running on premises to establish data transfer between our factories with MESS systems and SAP. We keep also B2B to manage services along the railroad that we use.

• Fast Development
• Free to choose how to develop our services
• Multi-Cloud platform

Azure Kubernetes Service (AKS), Azure Container Apps and MuleSoft Anypoint Platform

Azure Kubernetes Service (AKS), Azure Container Apps, TIBCO BusinessEvents, Azure Event Hubs

We are a heavy consumer of Red Hat OpenShift. We use Red Hat OpenShift to host applications that do not currently use or need persistent storage. We have over 200,000 running containers across 64 clusters, and it solves the problem of moving away from the monolithic architecture and utilize microservices which Red Hat OpenShift easily allows us to do.

• The ability to easily scale applications across datacenters
• Savings on hardware costs due to the nature of Kubernetes

HashiCorp Vault, Hyper-V

Hello! We use Red Hat OpenShift to containerize our applications, particularly the SaaS services we provide to our clients. Additionally, as a Red Hat partner, we are a CCSP. Along with this, we have associated services for which we deliver this type of solution.

Hola! Usamos Red Hat OpenShift para contenerizar nuestras applications, en particular, servicios del tipo SaaS que brindamos a nuestros clientes. Ademas, como partner de Red Hat, somo CCSP, y Junto a ello, tenemos servicios asociados a los cuales entregamos este tipo de solucion.

• faster production of our services
• Cost reduction due to better management and problem resolution
• Disadvantage: longer adoption time for the work team.
• mayor rapidez de puesta en produccion de nuestros servicios
• Baja de costos, debido a la mejor administracion y resolution de problemas
• Desventaja, mayor tiempo de adopcion para El equipo de trabajo.

Red Hat Enterprise Linux (RHEL), Red Hat Ansible Automation Platform