Tag: Azure Machine Learning
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Deploy Open Models on Azure Machine Learning with Managed Compute (Azure Gen AI Series, Part 18)
Open models on Azure Machine Learning run on managed compute, dedicated GPU VMs you rent by the hour instead of paying per token. Here is when that trade beats serverless, how to size the SKU, and where the community registry leaves you on your own.
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Azure OpenAI vs Foundry vs Azure Machine Learning, and Which One Your Project Belongs In (Azure Gen AI Series, Part 5)
Azure OpenAI, Microsoft Foundry, and Azure Machine Learning look interchangeable and are not. A practical guide to which resource your project belongs in, and how to move between them without a rebuild.
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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