OpenTela is presented, a user-space orchestration overlay that turns existing fragmented HPC clusters into a unified, cross-institutional serving platform and provides a replicable blueprint for other sovereign AI initiatives to harness their own federated GPU infrastructure.
Frontier open-weight models are increasingly available, but serving them still largely assumes datacenter infrastructure. We present FreeToken, an edge-native MoE serving system that treats a personal machine not as a small GPU, but as a unified, elastic inference platform. FreeToken co-designs the full serving stack,...
Shuo Yang, Xiao-yun Fan, Melissa Z. Pan et al.· 3 citations
STREAM (Smart Tiered Routing Engine for AI Models) addresses the gap between local, HPC, and cloud inference with a three-tier routing architecture combining local, HPC, and cloud inference with a local LLM-based complexity judge.
A. Nassar, Steve Mohr, L. Apanasevich et al.· Practice and Experience in A...· 0 citations
CELLServe formalizes SLO-constrained joint resource provisioning as an optimization problem with a dedicated algorithm, and introduces an opportunistic instance merging strategy for decode phase functions to reclaim fragmented resources.
Zejian Wang, Nan Lin, Zinuo Cai et al.· ACM Transactions on Architec...· 0 citations
OpScale is presented, a practical operator-level orchestration framework of profiling, provisioning, placement, and runtime serving that attains SLOs with up to 36.3% fewer GPUs and 28% less power, or achieves 44% higher throughput under fixed cost budgets.
Xingqi Cui, Chieh-Jan Mike Liang, Ziang T. Tang et al.· 0 citations
This work evaluates Kubernetes deployment on a Hewlett Packard Enterprise (HPE) Cray EX supercomputer with HPE Slingshot interconnect, called Isambard-AI, with co-design use cases that combines KubeRay, Ray, and vLLM to provide a distributed, sandboxed, persistent AI model hosting service targeting multi-tenant confide...
J. Watson, S. Alam, Christopher J. Woods et al.· 0 citations
Compute and memory resources in cloud environments are strictly managed and isolated by the control plane; in contrast, network resources lack equivalent management and isolation mechanisms. This best-effort treatment of networking leads to significant challenges for modern AI workloads, which have diverse and bandwidt...