//AI inference cost
FinOps for AI Agents: How to Control Token and Hosting Costs
Tags : AI agent observabilityAI agentsAI cost optimizationAI GovernanceAI inference costAI InfrastructureAI ROIcloud cost managementcost per inferenceFinOps for AIGPU InfrastructureInference Hostingmodel routingtoken budgettoken economics
The economics of an AI agent look nothing like the economics of the software it replaces. A traditional web service scales roughly with users; an agent scales with steps. Each retrieval, tool call, and reasoning loop burns tokens, and a single user request can quietly trigger dozens of model calls. Add always-on GPU capacity, shared..
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Small Language Models: Why SLMs Power Efficient AI Agents in 2026
Tags : agentic AIAI agentsAI inference costedge AIheterogeneous AI systemslocal AIMicrosoft Phimodel efficiencymodel fine-tuningNVIDIA researchon-device AIPhi-4SLMssmall language modelsSmolLM
For most of the last few years, building an AI agent meant wiring everything to the largest, most capable model available. That instinct is now being questioned. A growing body of research argues that for the repetitive, narrow tasks agents actually perform, a smaller model is not just adequate but often the better engineering choice…
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