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
-
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?
-
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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Quantum Computing 101
This video is from Hewlett Packard Enterprise. Ray Beausoleil, HPE Senior Fellow, SVP, and Director of the Large-Scale Integrated Photonics Lab talks about the basics of quantum computing, why it’s so popular, and “quantum supremacy.” He also explains the difference between traditional and quantum computers, including bits vs qubits. In addition to mapping the quantum […]
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Open Data Hub – the origin story (part 2)
-
Frank
- July 6, 2022
- AI
- AI on Kubernetes
- Ai on OpenShift
- AI/ML
- artificial intelligence
- Data Science
- DevOps
- Git
- Jupyter
- JupyterHub
- JupyterLab
- Machine Learning
- ML
- ML on Kubernetes
- ML on OpenShift
- MLOps
- ODH
- Open Data Hub
- OpenShift
- OpenShift Data Science
- Python
- PyTorch
- Red Hat
- S2i
- Source-to-image
- Spark
- TensorFlow
In part 2 of the Open Data Hub origin story, fellow Red Hatters Steven Huels and Sherard Griffin describe some of the technical challenges and growth of the Open Data Hub AI meta-project, evolving Elastic Search to multiple data discovery technologies. The evolution to a commercial service offering, Red Hat OpenShift Data Science is also […]
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