Three audiences · one mission
AI that uses less electricity — and proves it.
LuxiEdge is built for quant research, AI data centers, and a public that can drive change by sharing the energy story and asking providers why they are not measuring and cutting waste.
~254 W
Power during the work
Full 28-layer stack
Numbers from public multi-run benchmarks. Full methods and downloads: Proof.
A three-legged stool
Pick the path that fits you. Every path can end in shareable proof.
Quant & research
Determinism, audit trails, free-ride paths, long-context memory — for people who need methods, not slogans.
AI & data centers
Power caps, density, measured joules-per-token under load, and a commercial path to evaluation.
We need your help
You don’t need a PhD. Share the energy story. Ask AI providers and data centers why they aren’t cutting waste.
What we measure — honestly
On the public record
- Full 28-layer 7B-class stack on H100
- Multi-run throughput and energy per token
- Supporting stack energy and free-ride tests
- Long-context memory scaling (O(N) vs O(N²))
What we do not claim
- Not a claim of chat-quality superiority over every model
- Some standard stacks still win raw short-sequence speed
- We differentiate on audit, memory scaling, and measured energy
- Facility wall-plug power needs separate metering
We publish comparisons both ways.
See the Proof page for packs, tables, and downloads.