Tag: watsonx.data
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Data Prep and Synthetic Data on watsonx.data (IBM Gen AI Series, Part 13)
How to land, clean, and curate real data in the watsonx.data lakehouse, then use the Synthetic Data Generator on watsonx.ai to fill the gaps before a tune. With a worked cost example and a runnable cleaning script.
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RAG on watsonx.data with Milvus Vector Search (IBM Gen AI Series, Part 9)
How to build governed RAG on watsonx.data with the embedded Milvus vector database, from choosing a slate or Granite embedding model to sizing the service and picking an index.
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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