AI & data centers
Save energy. Keep determinism. Ship thr you can defend.
The story for operators is not “we won a FLOPS contest.” It is measured electricity cost per unit of AI work, plus deterministic, auditable compute for multi-tenant and regulated paths — with honest throughput, not thr-only marketing.
The headline for your power budget
Facilities pay for watts and cooling. If your stack cannot show joules per token under sustained load, you are flying blind on the bill that actually constrains capacity.
H100 NVL · full stack under sustained load · energy from measured power × time / tokens. Pack →
Two pillars (not a thr-only pitch)
1. Energy under load
- Joules per token you can open in a public pack
- Sustained work — not launch-tax microbenches as the hero
- Power while the stack is actually running
- Same method language the public uses to pressure providers
2. Determinism & audit
- Receipt-oriented paths where trust matters
- Free-ride / residual checks under load
- Reproducible story for multi-tenant and regulated AI
- Methods you can re-run — not “it looked about the same”
Where speed fits (honestly)
LuxiEdge is not “ignore thr.” Product measurements show solid prefill thr at realistic sequence lengths (~400 tok/s class on the public 7B-class pack). The positioning is:
What we optimize for
Energy cost of work + deterministic trust, with thr that holds up under the protocols we publish. Long-context memory scaling (O(N) vs O(N²)) when context is the silent capacity killer.
What we do not pretend
We do not claim we always beat Flash-class kernels on every short-seq thr race. On a published 12-layer head-to-head, a PyTorch + Flash baseline can win thr and J/token on that shape — and we show that loss. Differentiated axes: audit paths, memory scaling, and full-stack energy you can verify.
Why operators evaluate us
Power caps are real
Rack and site power — not TFLOPS slides — decide how much AI you can sell. J/token is how you plan.
Trust is multi-tenant
Deterministic paths and receipts reduce “it drifted” incidents across customers and re-runs.
Public pressure is coming
Communities and customers are asking about AI electricity. See We need your help — the same numbers work for operators and the public.
Proof before NDA
Headline metrics link to public packs. Commercial depth and source under NDA when you are ready.
Next step
- Read Proof — energy tables and packs first.
- Map your power cap and thr SLO to the public ladder (seq≥128 as product thr/energy).
- Technical discussion for on-prem / cloud evaluation and joint metering.