Model Routing Cost Checklist: Hosted APIs, Open Models, Or Self-Hosted Inference?
The article discusses the considerations for choosing between hosted APIs and self-hosted inference for AI workloads. It emphasizes the importance of classifying workloads to determine the most cost-effective routing for different tasks. A checklist is provided to guide teams in making informed decisions about AI vendor selection and infrastructure management.
- ▪The article suggests that teams should classify their AI workloads before deciding on a routing model.
- ▪Cost considerations go beyond token price and include factors like retry rates and engineering time.
- ▪A hybrid routing approach is often recommended for serious teams, balancing cost and performance.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3885613) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Yash Pritwani Posted on May 25 • Originally published at techsaas.cloud Model Routing Cost Checklist: Hosted APIs, Open Models, Or Self-Hosted Inference? #webdev #programming #tutorial #devops Originally published on TechSaaS Cloud Originally published on TechSaaS Cloud Model Routing Cost Checklist: Hosted APIs, Open Models, Or Self-Hosted Inference? The model question founders ask is usually too broad: "Should we use hosted APIs or self-host?" The better question is narrower:…
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