Catalog record · Operations & Efficiency
Stage as of May 14, 2025 · historical report, not live reconfirmation.
AlphaEvolve-discovered scheduling heuristic in Borg
Primary workflow source. A named organization's workflow supported by a reviewed primary source. Stage is reported separately; this label does not establish measured outcomes or independent validation.
Last researched Oct 26, 2026. Source access and reported stage are recorded below; deployment evidence does not establish ROI.
What the research supports
Google reports an AlphaEvolve-discovered heuristic had run in production for over a year, improving data-center scheduling. Proposed programs are executed and scored by automated evaluators; this is deployed optimization rather than a standalone model benchmark.
- Reported stage
- Production
- Technology
- GenAI/LLM
- Business function
- Enterprise-wide
- Impact (legacy label)
- Not labeled
- Catalog date · unconfirmed
- Not reported
- Imported
- Oct 29, 2026
- Last researched
- Oct 26, 2026
Measures & evidence
No quantified measure recorded. This is a gap in the evidence, not a finding of no value.
Documented vendor relationships
No vendor relationship has been linked to this specific workflow in the curated overlay. This does not mean it was built without vendors.
See the company’s documented relationshipsDeployment evidence & limits
Source explicitly states the Borg heuristic is in production for over a year. Status as of 2025-05-14.
Stage is as reported in the cited evidence. Current operating status has not been independently reconfirmed; the research date is an editorial review date.
Issuer/vendor self-report; independent causal productivity or ROI not established. Requires a faithful evaluator and workload constraints; Google's infrastructure effects do not establish bank cash savings.
Potential FS application · inferred
Inferred FS application: Optimize bank risk-calculation batch scheduling and cloud compute allocation.
Search over executable scheduling algorithms can optimize a measurable resource objective.
Original industry: Cloud computing and AI research. Transfer limits: Requires a faithful evaluator and workload constraints; Google's infrastructure effects do not establish bank cash savings.
Recorded dependencies
- Inferred FS control: engineer-approved heuristic, simulation, capacity safeguards, staged deployment and rollback.
Source register
- AlphaEvolve: A Gemini-powered coding agent for designing advanced algorithmsdeepmind.google · opens in a new tab
Google DeepMind · issuer · full-text · Published 2025-05-14
Research lanes: software_enterprise · Batch global-discovery-2026-10-26. Coverage and remaining gaps