From Barrier to Bridge: The Case for AI Data Center/Power Grid Co-Design
arXiv 2605.03090•ca80bc7e183f44a9343a99457e7d6684d3ccf18d1035d5c4f53f2ff1e67a26e3
GPUHPCLLM-agentsMPIRAGartificial-intelligencecloud-platformsdata-centersdistributed-systemsedge-computingexascale-computingfederated-learningmachine-learningperformance-engineeringpower-gridresearch
Paper metadata
- arXiv ID
- 2605.03090
- Version
- Not specified by this published record
- Category
- Computer Science — Distributed, Parallel, and Cluster Computing (cs.DC)
The PDF link points to arxiv.org. Baitaphish does not expose a private stored PDF.
Evidence and limitations
- Source ID
- arxiv_cs_dc
- Record identifier
- ca80bc7e183f44a9343a99457e7d6684d3ccf18d1035d5c4f53f2ff1e67a26e3
- Enrichment time
- 2026-08-16T13:05:33Z
- 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.