Tag: OpenShift
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watsonx.ai Training Infrastructure and Scaling on OpenShift (IBM Gen AI Series, Part 14)
Every watsonx tune is a Kubernetes job under the hood. Here is how GPU nodes, the NVIDIA operators, autoscaling to zero, MIG limits, and Kueue quotas fit together on Red Hat OpenShift.
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GPUs and Running watsonx.ai on OpenShift (IBM Gen AI Series, Part 6)
How watsonx.ai actually uses GPUs on Red Hat OpenShift: the operators that expose a card, why memory sizing decides everything, the single node rule for multi GPU models, and when MIG or time slicing is worth it.
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watsonx.ai Deployment Options, From SaaS to Software on OpenShift (IBM Gen AI Series, Part 4)
watsonx.ai runs two ways: as a Service that IBM operates for you, or as software you run on Red Hat OpenShift. Here is how to pick, and what you own in each.
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VKS: The Verdict and When to Use It vs Alternatives (VKS Series, Part 17)
VKS is not trying to be OpenShift, and judging it that way gets the decision wrong. Here is an honest verdict versus the alternatives, and where VKS genuinely earns its place.
Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author

Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.
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