OpenShift AI helps you set up an MLOps “conveyer belt”
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Frank
- September 3, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- Generative AI
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- OpenShift
- OpenShift AI
- OpenShift Data Science
- Red Hat
- RHODS
Many developers struggle with putting a model into deployment. The difficulty of updating models in production often leads to hesitancy and delays. The concept of MLOps deals with putting models into production without it being painful or risky. With Red Hat OpenShift AI, data scientists can create models with their preferred tooling, create pipelines to […]
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OpenShift AI as a foundation
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Frank
- September 3, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- Generative AI
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- OpenShift
- OpenShift AI
- OpenShift Data Science
- Red Hat
- RHODS
Red Hat’s AI platform enables the development and deployment of models across the public cloud, data center, and edge. It manages cluster resource requests, such as scaling up and down GPUs, and fosters collaboration between developers and data scientists. All by expanding the DevOps tooling provided within OpenShift, providing additional capabilities such as model serving […]
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A collaborative platform with OpenShift AI
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Frank
- August 24, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- Generative AI
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- OpenShift
- OpenShift AI
- OpenShift Data Science
- Red Hat
- RHODS
Red Hat OpenShift AI provides a secure, reliable and consistent platform across the hybrid cloud. Data scientists, MLOps engineers, and application developers can work together on the same cloud-native platform, leading to faster business insights with trusted outcomes. Providing innovative AI/ML tooling from the open source world but with the support and security of Red […]
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Data science pipelines on OpenShift
Guillaume Moutier describes the new data science pipelines capability within Red Hat OpenShift Data Science that allows data scientists, data engineers and app developers to ingest data and clean it within the Jupyter environment, and then deploy as an OpenShift pipeline. Data practitioners can automate the full cycle within and intuitive drag-and-drop UI. Check out […]
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Unlock the Power of Generative AI with the Right Platform Stack
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Frank
- July 27, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- CodeFlare
- Data Science
- data science pipelines
- DevOps
- foundation models
- Generative AI
- Hybrid Cloud
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- Open Source
- OpenShift
- OpenShift AI
- OpenShift Data Science
- Ray
- RHODS
- TGiS
Taneem Ibrahim and Selbi Nuyryev describe the work in the Open Data Hub community about building an AI/ML stack for generative AI and foundation models. With project CodeFlare and open source technology work with CAIkit, KubeRay and Text Generation Inference Service (TGiS), KServe to prompt-tune pre-trained models and provide resource efficiency across the hybrid cloud. […]
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Get the Scoop on OpenShift AI from Red Hat’s Chris Wright
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Frank
- July 27, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- Generative AI
- Hybrid Cloud
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- Open Source
- OpenShift
- OpenShift AI
- OpenShift Data Science
- RHODS
Chris Wright, Red Hat CTO, describes Red Hat OpenShift AI and how it extends Red Hat’s application platform to help data scientists and developers collaborate to bring ai-enabled applications into the enterprise. Leveraging DevOps principles, OpenShift AI works across the entire model development lifecycle to help AI/ML teams build, deploy and monitor models across the […]
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What is OpenShift AI?
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Frank
- July 27, 2023
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- data science pipelines
- DevOps
- foundation models
- Generative AI
- Hybrid Cloud
- Jupyter
- Kubeflow
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- model pipelines
- Model Serving
- ODH
- Open Data Hub
- Open Source
- OpenShift
- OpenShift AI
- OpenShift Data Science
- RHODS
- WatsonX
Will McGrath gives a high-level overview of what is Red Hat OpenShift AI, a portfolio of products, built on OpenShift, that allows you to build, train, deploy and life-cycle manager models across the hybrid cloud. As a core offering within the OpenShift AI family, Red Hat OpenShift Data Science provides MLOps tooling such as model […]
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From startup to production – an AI/ML success story
An agriculture startup explores how to bring AI models into production to promote healthy crops. Watch the company work through leveraging multiple data types, building the model on a shared AI platform, and successfully bringing the model into production. This video highlights the benefits of Red Hat OpenShift Data Science in a fun, informal way!
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Testing, linting and documentation in Qiskit
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Frank
- April 3, 2023
- Algorithm
- API
- Cloud
- Coding
- Developer
- Development
- Getting Started
- GitHub
- hello world
- IBM
- IBM Research
- Jupyter
- Machine Learning
- Open Source
- open source software
- open-source
- Physics
- programming quantum computers
- Python
- qiskit
- Quantum
- quantum algorithms
- quantum computer programming
- Quantum Computers
- Quantum Computing
- quantum information
- quantum machine learning
- Quantum Mechanics
- Quantum Physics
- quantum programming
- Qubit
- science
- SDK
- Software
Contributing to Qiskit involves more than just writing code! Learn the basics of testing, linting and documentation requirements for Qiskit.
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Bell’s Inequality: The weirdest theorem in the world that won a Nobel Prize in 2022
-
Frank
- November 14, 2022
- 2.8
- Alain Aspect
- Algorithm
- Anton Zeilinger
- API
- bell's theorem
- bells inequality
- Coding
- Getting Started
- IBM
- IBM Research
- john bell
- John Clauser
- Jupyter
- nobel prize
- nobel prize 2022
- Open Source
- open-source
- Physics
- programming quantum computers
- qiskit
- Quantum
- quantum algorithms
- quantum computer programming
- Quantum Computers
- quantum information
- quantum machine learning
- Quantum Mechanics
- Quantum Physics
- quantum programming
- Qubit
- science
- theorem
- weird
John Clauser, Alain Aspect and Anton Zeilinger won the Nobel Prize in physics for 2022. Their work built off of one of the most important results in all of physics; Bells Theorem, invented by the late John Stewart Bell. Here we discuss why Bells Theorem is one of the most important, yet bizarre, results in […]
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