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Author

Hubertus Franke

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Preprint Oct 2026

TRANSIT: Transparent Scale-in for Multi-Node LLM Training

TRANSIT is a transparent scale-in framework to enable multi-node model training on fewer GPUs while maintaining training efficiency by transparently leveraging CPU DRAM as an extension of GPU memory during distributed training. It achieves this through a user-space interposition layer, requiring no modifications to the...

Hyungyo Kim, Nicholas Satchanov, Hrishi Shah et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Efficient Iterative Retrieval with Heterogeneous Batching

Orthrus is a serving system that performs heterogeneous batching within a unified inference loop that addresses the primary challenge lies in unifying embedding and generation workloads with conflicting computational patterns while optimizing batch composition for high performance.

Dohyun Park, Hubertus Franke, Daniel G. Waddington et al. · 0 citations
Conference Open access Jul 2026

Towards an Agent Operating System - Lessons from Classical and Cloud OS

It is argued that the path forward is to follow the prior-wave methodology: derive new agentic abstractions by extending classical OS and cloud OS primitives to stochastic, natural-language-mediated execution, specify their semantics precisely, and consolidate around them - just as POSIX and Kubernetes consolidated the...

Gosia Steinder, Hubertus Franke · 0 citations

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