MLOps
5 min read
LLM Gateway Architecture: Routing, Rate Limits, and Cost Controls
How to design an LLM gateway for production use cases, including multi-model routing, guardrails, quotas, usage logging, and cost-aware fallbacks.
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Tag: #Cost Optimization
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Model Deployment
6 min read
GPU Autoscaling: Right-Sizing Inference Clusters Without Over-Provisioning
How to autoscale GPU-backed inference clusters without wasting money, including queue-based scaling, warm capacity, and right-sizing by workload profile.
Model Deployment
7 min read
How We Cut GPU Costs by 40% Without Sacrificing Model Performance
Practical strategies for reducing GPU infrastructure costs — covering spot instances, GPU scheduling, model optimization, and right-sizing — without degrading inference quality.
Model Deployment
5 min read
LLM Token Economics: Tracking and Controlling Inference Spend
How to measure token-level inference spend in production and add practical controls around prompt size, output limits, routing, caching, and tenant budgets.
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