[D] New arXiv review: “High-Performance Serverless” is the future of AI Inference (and Static Clusters are dying)

Just read through this new systematic review (arXiv:2601.09334) on Serverless for HPC/AI. It’s a solid read if you’re dealing with infrastructure scaling.

The TL;DR:

1. Static Allocation is breaking: The paper argues that rigid GPU clusters can’t handle modern “bursty” AI workloads efficiently. You either over-provision (waste money) or under-provision (crash during spikes).
2. Serverless is the fix: The industry is moving toward elastic, serverless execution models to survive the efficiency gap.

We’ve been seeing this exact pattern in production. We actually built our engine specifically to solve that Cold Start problem via state snapshotting, so it’s validating to see the academic side converging on the same architecture.

Paper link: https://arxiv.org/abs/2601.09334

Anyone seeing this shift from static -> serverless in their own clusters?