Tag: AWS Gen AI Series
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Amazon Bedrock Pricing Across On-Demand, Provisioned, and Batch (AWS Gen AI Series, Part 6)
The five ways Amazon Bedrock charges for the same model, from on-demand tokens to reserved model units, and the break-even math that tells you which mode your workload actually belongs on.
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Amazon Bedrock vs SageMaker AI, and When to Use Each (AWS Gen AI Series, Part 5)
Bedrock gives you models behind an API; SageMaker AI gives you the whole ML platform. Here is how I decide between them, with the cost math that usually settles it.
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Amazon Nova Models and Where Each One Fits (AWS Gen AI Series, Part 4)
A working tour of Amazon Nova on Bedrock: Micro, Lite, Pro and Premier, the creative and speech models, and what Nova 2 changes. With model IDs, context sizes, real cost math and the inference-profile trap that breaks first calls.
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Amazon Bedrock Model Catalog and Choosing a Model (AWS Gen AI Series, Part 3)
Bedrock ships more than a hundred models across fifteen providers, and the price gap between the cheapest and the priciest is over 400x. Here is how I read the catalog and pick a model without overpaying.
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Amazon Bedrock and the Shared Responsibility Model (AWS Gen AI Series, Part 2)
Bedrock is a managed service, but security is still split between AWS and you. Here is exactly which half is yours, the defaults that catch teams out, and the baseline I deploy before any prompt goes live.
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AWS Generative AI Stack, End to End (AWS Gen AI Series, Part 1)
AWS generative AI is really three layers: Amazon Bedrock for managed models, SageMaker AI to build your own, and Trainium and Inferentia underneath. Here is the whole map, with a real cost example and a first call that works.
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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