
Unlock the Power of Generative AI with the Right Platform Stack
- 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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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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How to Build Enterprise-Ready Foundation Models
Building a trustworthy and efficient, high-performing foundation model requires care. IBM‘s Kate Soule walks us through each step of the AI pipeline.
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