Conceptio › Archive › arXiv (All)
arXiv (All) open access

GearUp: DAG-aware Acceleration for Serverless Inference Serving via Slack-guided Pre-loading

Qi, Qi et al.
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
and-cluster-computingdistributedmachine-learningoperating-systemsparallel
Serverless platforms increasingly host machine learning (ML) inference workflows, modeled as directed acyclic graphs (DAGs) of interdependent functions. Beyond container startup, each ML node must load libraries, model weights, and CUDA kernels before it can run. These costs accumulate along depende
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1488988
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive