BRIGHT EVIDENCE PACK / Deployed
Making room in a data center
Google DeepMind reported that an AlphaEvolve-discovered scheduling heuristic had been in production for more than a year and continuously recovered an average 0.7% of Google's worldwide compute resources.
Canonical Bright record · JSON evidence pack · Key-facts embed
Dates and assessment
- Source published
- 2025-05-14
- Bright published
- 2026-09-07
- Substantive update
- None recorded
- Evidence state
- Deployed
- Independent verification
- Not established by this source review
- Last source review
- 2026-09-07
The claim in context
The human problem
Data-center capacity is finite, and idle or poorly allocated compute leaves less capacity for useful work on the same infrastructure.
The prior constraint
A production scheduler must make dependable allocation decisions across changing workloads at very large scale.
AI’s actual role
AlphaEvolve used language models, automated evaluation, and evolutionary search to produce a scheduling heuristic for Google's Borg system.
The documented result
Google says the production heuristic continuously recovers, on average, 0.7% of its worldwide compute resources.
Why it may matter
Recovering capacity can allow more tasks to run on an existing computational footprint.
Limitations
- This is a company-reported, Google-specific operational result.
- The announcement does not quantify electricity, water, carbon, reliability, or independent-audit outcomes.
Original evidence
Attribution
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