Tag: Amazon Nova
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AWS Generative AI vs the Field, the Verdict (AWS Gen AI Series, Part 30)
After thirty parts on the AWS generative AI stack, the verdict: where Bedrock, Amazon Nova, and AWS silicon earn the default, and the exact cases where Azure, Google Cloud, or IBM watsonx fit better.
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Amazon Bedrock Model Distillation, End to End (AWS Gen AI Series, Part 17)
Amazon Bedrock Model Distillation trains a small student model to answer like a big teacher for a narrow task. Here is how the job runs, which model pairs are allowed, and why Provisioned Throughput, not the training, decides the cost.
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Amazon Bedrock Fine-Tuning and Continued Pre-Training (AWS Gen AI Series, Part 16)
When a bigger prompt stops paying off, you change the model itself. A practical walk through fine-tuning and continued pre-training on Amazon Bedrock: which models qualify, what a job costs, and how Nova on-demand hosting changed the math.
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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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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
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VMware Cloud Foundation
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- NVIDIA Build (Model Catalog)
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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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