Inference Routing Is Becoming an Infrastructure Placement Problem
Inference routing is evolving into a complex infrastructure placement challenge as enterprise environments diversify. The traditional model of routing requests to a single cluster is no longer sufficient due to the variety of execution environments available. A new architectural layer, termed the Inference Execution Plane, is necessary to manage these routing and placement decisions effectively.
- ▪Inference routing has shifted from a simple model to a complex infrastructure placement problem due to diverse execution environments.
- ▪The API gateway, originally designed for homogeneous nodes, is inadequate for managing the complexities of multiple substrate types.
- ▪The Inference Execution Plane is proposed as a new architectural function to govern where inference workloads execute and under what constraints.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3784059) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } NTCTech Posted on May 21 • Originally published at rack2cloud.com Inference Routing Is Becoming an Infrastructure Placement Problem #infrastructure #cloudarchitecture #platformengineering #mlops The request arrives. The model answers. For most teams, everything in between is invisible — a gateway rule, a load balancer entry, maybe a classifier someone wrote three months ago. That worked when inference meant one cluster and one model family.
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