Quantum on OpenShift

Quantum on OpenShift

Our goal in the quantum space is to establish the best practices for running heterogeneous workflows that combine classical and quantum computing requirements. We are taking an operator-based approach, wherein we enable OpenShift-based workloads to call out to quantum...
LinuxKit

LinuxKit

LinuxKit is a toolkit for building custom minimal, immutable Linux distributions. Secure defaults without compromising usability Everything is replaceable and customisable Immutable infrastructure applied to building Linux distributions Completely stateless, but...
AIOps

AIOps

AIOps platforms are software systems that combine big data and AI or machine learning functionality to enhance and partially replace a broad range of IT operations processes and tasks. Some of these tasks include availability and performance monitoring, event...
Thoth

Thoth

Project Thoth is developed in the AI Center of Excellence at Red Hat and it aims at providing recommendations on Python software stacks, runtime environments, and deployment configurations to developers and DevOps engineers through different types of integrations...
Open Data Hub

Open Data Hub

Open Data Hub is an open source project based on Kubeflow, that provides open source AI tools for running large and distributed AI workloads on OpenShift Container Platform. Currently, the Open Data Hub project provides open source tools for data storage,...