Model selection · architecture subsection
Managed AI platform choices
Compare managed AI platforms and direct API or gateway architectures. Include billing boundaries and cloud integration in the decision, not just the model price.
Start with three useful guidesA practical sequence
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Compare managed platforms
Bedrock vs Vertex AI vs Azure OpenAI: Which Managed AI Platform Should You Choose?
Review platform fit across Bedrock, Vertex AI and Azure OpenAI.
Choose a connection pattern
Direct Provider API vs AI Gateway: Which Should You Use?
Weigh a direct provider API against a gateway architecture.
Review the billing model
Bedrock vs Vertex AI Pricing: What Teams Actually Pay
Check how platform pricing changes the cost comparison.
More in this collection
9 guides in totalLLMOps vs LLM FinOps: What Teams Actually Need
LLMOps and LLM FinOps overlap, but they are not the same job. Learn where tracing, prompts, evaluation, spend tracking, and cost controls fit in a modern AI operations stack.
Tracking Open vs Closed Model Costs in 2026 (with Hugging Face + StackSpend)
Open-weight models now rival the closed frontier on quality — but whether they're actually cheaper depends entirely on how you host and measure them. Here's how to track the true, blended cost of open and closed models in one view using Hugging Face and StackSpend.
When to Use Which Cloud Provider: AWS, GCP, or Azure (2026)
A practical guide to choosing AWS, GCP, or Azure. Cost patterns, strengths by workload, and how to decide when you're starting fresh or already multi-cloud.
QA over structured data and grounding patterns
Many LLM question-answering systems should be grounded in SQL, tools, or explicit evidence rather than treated like generic RAG.
Agentic tool-use patterns: planner, executor, and recovery
Build tool-using LLM systems with the lightest orchestration that works: fixed workflows first, planner and executor loops only when the task truly requires them.
Gateway or Direct: Which Should You Route AI Traffic Through?
The cost and attribution consequences of putting a gateway in front of your model providers — what consolidating billing gains you, and what per-model visibility it can cost.