Tag: watsonx.ai
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watsonx Cost Governance and FinOps, from Resource Units to a Real Budget (IBM Gen AI Series, Part 20)
watsonx charges in Resource Units, capacity unit hours, and a flat instance fee. Here is how those meters add up, and the plan choice that keeps your generative AI bill honest.
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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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watsonx.ai Inferencing and Prompt Engineering, from API to Streaming (IBM Gen AI Series, Part 8)
How to call watsonx.ai foundation models: the generation and chat endpoints, the decoding parameters that steer output, streaming, Prompt Lab, and prompt template assets you can reuse.
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watsonx.ai Regions, Private Connectivity, and Security (IBM Gen AI Series, Part 7)
The watsonx.ai region you pick is a one-way door, and it quietly decides which models, tuning, and compliance you get. Here is how to choose it, then lock the network with private endpoints and your own keys.
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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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watsonx.ai Studio and Prompt Lab, Your First Governed Prompt (IBM Gen AI Series, Part 2)
The watsonx.ai studio and Prompt Lab, hands on: projects and the Runtime service, Chat mode after the 2026 removal of Structured and Freeform, decoding parameters, and how prompt length drives your token bill.
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IBM watsonx Generative AI Stack, End to End (IBM Gen AI Series, Part 1)
IBM watsonx explained end to end for beginners: how watsonx.ai, watsonx.data, and watsonx.governance fit together, where the Granite models sit, and what it costs to run.
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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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