DeltaServe: Host-Agnostic Co-Serving of Inference and Fine-Tuning for LLMs
2026-08-03T08:52:12Z•74d4b40a8885948d85f670597415a73542a12e2892b39f56227368163b54d6fd
AI-agentsGPU-performanceHPCIoT-safetyLLM-servingarXivcloud-infrastructuredistributed-systemsformal-verificationreliabilitysandbox-securitysecurity-research
What happened
This document is an arXiv computer-science feed containing research announcements on LLM serving, cloud and distributed systems, IoT safety verification, HPC correctness, GPU performance, and related topics. It describes defensive systems and performance or reliability research; no specific security vulnerability, exploit, malicious activity, or affected product version is identified. One paper discusses reducing attack surface in agent tool sandboxes, but only at a high level.
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- 74d4b40a8885948d85f670597415a73542a12e2892b39f56227368163b54d6fd
- Enrichment time
- 2026-08-03T08:52:12Z
- AI-assisted enrichment
- Yes
This record may overlap with other records. Its enrichment can be incomplete or wrong, and machine assistance was used. Validate consequential decisions against the linked source and your own environment.